2nd Stage Optimization (Interpolated + Percentage + Risky + Safe Asse + Save + Borr + FIBS)
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Contents
- FF_IPWKBZ_FIBS_EVF solves the k' vs b' problem given aggregate savings
- Default
- Parse Parameters
- Integrate E(V(coh(k',forinf(b',zr)),zw',zr')|zw,zr)
- Reshape E(V(coh,z'|z,w)) to allow for maxing
- Maximize max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w)) optimal value and index
- Reindex K' and B' Choices for each State at the Optimal w'=k'+b' choice
- Graph
- Generate Limited Legends
- Graph 1, V and EV
- Graph 2, max(EV)
- Graph 3, at max(EV) optimal choice category, color regions, borrow save
- Graph 4, Optimal K' and B' Levels
- Display Various Containers
- Display 1 support_map
- Display 2 armt_map
- Display 3 param_map
- Display 4 func_map
function [mt_ev_condi_z_max, mt_ev_condi_z_max_idx, mt_ev_condi_z_max_kp, mt_ev_condi_z_max_bp] = ff_ipwkbzr_fibs_evf(varargin)
FF_IPWKBZ_FIBS_EVF solves the k' vs b' problem given aggregate savings
This file is based on ff_ipwkbzr_evf, see that file for more comments. Compare graphs side by side from this file and ff_ipwkbzr_evf to see visually the effect of introducing formal and informal choices with bridge loan.
In contrast to ff_ipwkbzr_evf.m, here, we need to deal with borrowing and savings formal and informal. These will change how the testing matrix is constructed. When bridge loan is allowed, we also need to construct the output matrixes differently. In ff_ipwkbzr_evf.m, the assumption is that coh today does not matter, so to find optimal k* choice, we only need to know the aggregate savings level. But now, we need to know the coh level as well.
Below two reachable coh matrixes are constructed, one for when aggregate savings choice w >= 0, and another for when aggregate savings <= 0. Then they are stacked together. And we still have the same outputs as ff_ipwkbzr_evf.m. The difference is that while for savings where w >=0, each row are w levels for the output matrixes, but for w <=0, each row is for w level + coh percentage combinations.
@param mt_val matrix state_n I^2 by shock_n. This is the value matrix each row is a feasible reachable state given the choice vectors/matrix and each column is a shock state.
@param param_map container parameter container
@param support_map container support container
@param armt_map container container with states, choices and shocks grids that are inputs for grid based solution algorithm
@return mt_ev_condi_z_max matrix (choice_w_pos_n + choice_w_neg_n x coh_perc_n) by shock_n max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w)) conditional on z and w, at the optimal k' choice (w=k'+b') what is the expected utility? This is the value result from the 2nd stage problem. Note the result integrates over z'.
@return mt_ev_condi_z_max_idx matrix (choice_w_pos_n + choice_w_neg_n x coh_perc_n) by (shock_n) this is the argmax from max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w)). Given the vector of k' choices, which index maximized conditional on z and w integrating over z'.
@return mt_ev_condi_z_max_kp matrix (choice_w_pos_n + choice_w_neg_n x coh_perc_n) by (shock_n) the k' choice at max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w))
@return mt_ev_condi_z_max_bp matrix (choice_w_pos_n + choice_w_neg_n x coh_perc_n) by (shock_n) the b'=w-k' choice at max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w))
@example
@include
Default
If comparing with ff_ipwkbzr_evf, note that the borrowing and savings interest rates are the same there. Run st_param_which = 'default' to replicate identical result as ff_ipwkbzr_evf.m.
if (~isempty(varargin)) % override when called from outside [clmt_val_wkb_interpolated, param_map, support_map, armt_map] = varargin{:}; else close all; % Not default parameters, but parameters that generate defaults it_param_set = 4; [param_map, support_map] = ffs_ipwkbzr_fibs_set_default_param(it_param_set); support_map('bl_graph_evf') = true; bl_display_evf = true; support_map('bl_display_evf') = bl_display_evf; st_param_which = 'default'; if (strcmp(st_param_which, 'default')) param_map('it_ak_perc_n') = 250; param_map('bl_bridge') = true; elseif (strcmp(st_param_which, 'small')) param_map('fl_z_r_infbr_n') = 2; param_map('it_z_wage_n') = 3; param_map('it_z_n') = param_map('it_z_wage_n') * param_map('fl_z_r_infbr_n'); param_map('fl_b_bd') = -20; % borrow bound, = 0 if save only param_map('fl_default_aprime') = 0; param_map('bl_default') = 0; % if borrowing is default allowed param_map('fl_w_min') = param_map('fl_b_bd'); param_map('it_w_perc_n') = 7; param_map('it_ak_perc_n') = 7; param_map('it_coh_bridge_perc_n') = 3; param_map('fl_w_interp_grid_gap') = 2; param_map('fl_coh_interp_grid_gap') = 2; param_map('fl_z_r_infbr_min') = 0.025; param_map('fl_z_r_infbr_max') = 0.95; param_map('fl_z_r_infbr_n') = 3; param_map('bl_bridge') = true; elseif (strcmp(st_param_which, 'ff_ipwkbzrr_evf')) % ff_ipwkbzrr_evf default param_map('fl_r_fsv') = 0.0; param_map('fl_r_fbr') = 1.000; param_map('it_ak_perc_n') = 250; param_map('bl_bridge') = false; param_map('it_coh_bridge_perc_n') = 1; elseif (strcmp(st_param_which, 'ff_ipwkbzr_evf')) % ff_ipwkbzr_evf default param_map('fl_r_fsv') = 0.025; param_map('fl_z_r_infbr_min') = 0.025; param_map('fl_z_r_infbr_max') = 0.025; param_map('fl_z_r_infbr_n') = 1; param_map('fl_r_fbr') = 0.025; param_map('it_ak_perc_n') = 250; param_map('bl_bridge') = false; param_map('it_coh_bridge_perc_n') = 1; end % Dimension Adjustments param_map('it_z_n') = param_map('it_z_wage_n') * param_map('fl_z_r_infbr_n'); param_map('fl_w_interp_grid_gap') = (param_map('fl_w_max')-param_map('fl_b_bd'))/param_map('it_ak_perc_n'); % Generate Grids [armt_map, func_map] = ffs_ipwkbzr_fibs_get_funcgrid(param_map, support_map); % Get Defaults params_group = values(param_map, {'it_z_n', 'fl_z_r_infbr_n'}); [it_z_n, fl_z_r_infbr_n] = params_group{:}; params_group = values(param_map, {'st_v_coh_z_interp_method'}); [st_v_coh_z_interp_method] = params_group{:}; params_group = values(armt_map, {'mt_coh_wkb', 'ar_z_r_infbr', 'ar_ak_perc', 'ar_w_level_full'}); [mt_coh_wkb, ar_z_r_infbr, ar_ak_perc, ar_w_level_full] = params_group{:}; params_group = values(armt_map, {'ar_ameshk_tnext_with_r', 'ar_k_mesha'}); [ar_ameshk_tnext_with_r, ar_k_mesha] = params_group{:}; params_group = values(func_map, {'f_util_standin_coh'}); [f_util_standin_coh] = params_group{:}; % mt_coh_wkb is: ((P^{k}_{a>=0} + P^{k}_{a<0} x P^{w frac bridge} ) x I^w x M^r) by (M^z) matrix % mt_coh_wkb(:): ((P^{k}_{a>=0} + P^{k}_{a<0} x P^{w frac bridge} ) x I^w x M^r x M^z) by 1 % ar_z_r_infbr is: (1 x M^r) % mt_val: ((P^{k}_{a>=0} + P^{k}_{a<0} x P^{w frac bridge} ) x I^w x M^r x M^z) by (M^r) mt_val = f_util_standin_coh(mt_coh_wkb(:), ar_z_r_infbr); % mt_val is: (I^k x I^w x M^r) by (M^z x M^r) mt_val = reshape(mt_val, [size(mt_coh_wkb, 1), it_z_n]); if (ismember(st_v_coh_z_interp_method, ["method_idx_a", "method_idx_b", "method_cell"])) it_ak_perc_n = length(ar_ak_perc); it_w_interp_n = length(ar_w_level_full); it_wak_n = it_w_interp_n*it_ak_perc_n; clmt_val_wkb_interpolated = cell([fl_z_r_infbr_n, 1]); for it_z_r_infbr_ctr = 1:1:fl_z_r_infbr_n it_mt_val_row_start = it_wak_n*(it_z_r_infbr_ctr-1) + 1; it_mt_val_row_end = it_mt_val_row_start + it_wak_n - 1; clmt_val_wkb_interpolated{it_z_r_infbr_ctr} = ... mt_val(it_mt_val_row_start:it_mt_val_row_end, :); end elseif (ismember(st_v_coh_z_interp_method, ["method_matrix", "method_mat_seg"])) clmt_val_wkb_interpolated = mt_val; end % Display Parameters if (bl_display_evf) fft_container_map_display(param_map); fft_container_map_display(support_map); end end
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Begin: Show all key and value pairs from container
CONTAINER NAME: PARAM_MAP
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Map with properties:
Count: 50
KeyType: char
ValueType: any
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pos = 1 ; key = bl_b_is_principle ; val = true
pos = 2 ; key = bl_bridge ; val = true
pos = 3 ; key = bl_default ; val = true
pos = 4 ; key = bl_rollover ; val = true
pos = 5 ; key = fl_Amean ; val = 1
pos = 6 ; key = fl_alpha ; val = 0.36
pos = 7 ; key = fl_b_bd ; val = -20
pos = 8 ; key = fl_beta ; val = 0.94
pos = 9 ; key = fl_c_min ; val = 0.02
pos = 10 ; key = fl_coh_interp_grid_gap ; val = 0.1
pos = 11 ; key = fl_crra ; val = 1.5
pos = 12 ; key = fl_default_wprime ; val = 0
pos = 13 ; key = fl_delta ; val = 0.08
pos = 14 ; key = fl_forbrblk_brleast ; val = -1
pos = 15 ; key = fl_forbrblk_brmost ; val = -19
pos = 16 ; key = fl_forbrblk_gap ; val = -1.5
pos = 17 ; key = fl_k_max ; val = 70
pos = 18 ; key = fl_k_min ; val = 0
pos = 19 ; key = fl_nan_replace ; val = -9999
pos = 20 ; key = fl_r_fbr ; val = 0.065
pos = 21 ; key = fl_r_fsv ; val = 0.025
pos = 22 ; key = fl_tol_dist ; val = 1e-05
pos = 23 ; key = fl_tol_pol ; val = 1e-05
pos = 24 ; key = fl_tol_val ; val = 1e-05
pos = 25 ; key = fl_w ; val = 0.44365
pos = 26 ; key = fl_w_interp_grid_gap ; val = 0.28
pos = 27 ; key = fl_w_max ; val = 50
pos = 28 ; key = fl_w_min ; val = -20
pos = 29 ; key = fl_z_r_infbr_max ; val = 0.095
pos = 30 ; key = fl_z_r_infbr_min ; val = 0.025
pos = 31 ; key = fl_z_r_infbr_n ; val = 5
pos = 32 ; key = fl_z_r_infbr_poiss_mean ; val = 20
pos = 33 ; key = fl_z_wage_mu ; val = 0
pos = 34 ; key = fl_z_wage_rho ; val = 0.8
pos = 35 ; key = fl_z_wage_sig ; val = 0.2
pos = 36 ; key = it_ak_perc_n ; val = 250
pos = 37 ; key = it_c_interp_grid_gap ; val = 0.0001
pos = 38 ; key = it_coh_bridge_perc_n ; val = 50
pos = 39 ; key = it_maxiter_dist ; val = 1000
pos = 40 ; key = it_maxiter_val ; val = 250
pos = 41 ; key = it_tol_pol_nochange ; val = 25
pos = 42 ; key = it_w_perc_n ; val = 50
pos = 43 ; key = it_z_n ; val = 75
pos = 44 ; key = it_z_wage_n ; val = 15
pos = 45 ; key = st_analytical_stationary_type ; val = eigenvector
pos = 46 ; key = st_forbrblk_type ; val = seg3
pos = 47 ; key = st_model ; val = ipwkbzr_fibs
pos = 48 ; key = st_v_coh_z_interp_method ; val = method_cell
pos = 49 ; key = st_z_r_infbr_drv_ele_type ; val = unif
pos = 50 ; key = st_z_r_infbr_drv_prb_type ; val = poiss
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _______
bl_b_is_principle 1 1 1
bl_bridge 2 2 1
bl_default 3 3 1
bl_rollover 4 4 1
fl_Amean 5 5 1
fl_alpha 6 6 0.36
fl_b_bd 7 7 -20
fl_beta 8 8 0.94
fl_c_min 9 9 0.02
fl_coh_interp_grid_gap 10 10 0.1
fl_crra 11 11 1.5
fl_default_wprime 12 12 0
fl_delta 13 13 0.08
fl_forbrblk_brleast 14 14 -1
fl_forbrblk_brmost 15 15 -19
fl_forbrblk_gap 16 16 -1.5
fl_k_max 17 17 70
fl_k_min 18 18 0
fl_nan_replace 19 19 -9999
fl_r_fbr 20 20 0.065
fl_r_fsv 21 21 0.025
fl_tol_dist 22 22 1e-05
fl_tol_pol 23 23 1e-05
fl_tol_val 24 24 1e-05
fl_w 25 25 0.44365
fl_w_interp_grid_gap 26 26 0.28
fl_w_max 27 27 50
fl_w_min 28 28 -20
fl_z_r_infbr_max 29 29 0.095
fl_z_r_infbr_min 30 30 0.025
fl_z_r_infbr_n 31 31 5
fl_z_r_infbr_poiss_mean 32 32 20
fl_z_wage_mu 33 33 0
fl_z_wage_rho 34 34 0.8
fl_z_wage_sig 35 35 0.2
it_ak_perc_n 36 36 250
it_c_interp_grid_gap 37 37 0.0001
it_coh_bridge_perc_n 38 38 50
it_maxiter_dist 39 39 1000
it_maxiter_val 40 40 250
it_tol_pol_nochange 41 41 25
it_w_perc_n 42 42 50
it_z_n 43 43 75
it_z_wage_n 44 44 15
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Strings in Container and Sizes and Basic Statistics
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i idx
_ ___
st_analytical_stationary_type 1 45
st_forbrblk_type 2 46
st_model 3 47
st_v_coh_z_interp_method 4 48
st_z_r_infbr_drv_ele_type 5 49
st_z_r_infbr_drv_prb_type 6 50
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Begin: Show all key and value pairs from container
CONTAINER NAME: SUPPORT_MAP
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Map with properties:
Count: 47
KeyType: char
ValueType: any
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pos = 1 ; key = bl_display ; val = false
pos = 2 ; key = bl_display_defparam ; val = true
pos = 3 ; key = bl_display_dist ; val = false
pos = 4 ; key = bl_display_evf ; val = true
pos = 5 ; key = bl_display_final ; val = true
pos = 6 ; key = bl_display_final_dist ; val = false
pos = 7 ; key = bl_display_final_dist_detail ; val = false
pos = 8 ; key = bl_display_funcgrids ; val = false
pos = 9 ; key = bl_display_infbridge ; val = false
pos = 10 ; key = bl_display_minccost ; val = false
pos = 11 ; key = bl_graph ; val = true
pos = 12 ; key = bl_graph_coh_t_coh ; val = true
pos = 13 ; key = bl_graph_evf ; val = true
pos = 14 ; key = bl_graph_forinf_discrete ; val = true
pos = 15 ; key = bl_graph_forinf_pol_lvl ; val = true
pos = 16 ; key = bl_graph_forinf_pol_pct ; val = true
pos = 17 ; key = bl_graph_funcgrids ; val = false
pos = 18 ; key = bl_graph_funcgrids_detail ; val = false
pos = 19 ; key = bl_graph_onebyones ; val = true
pos = 20 ; key = bl_graph_pol_lvl ; val = true
pos = 21 ; key = bl_graph_pol_pct ; val = true
pos = 22 ; key = bl_graph_val ; val = true
pos = 23 ; key = bl_img_save ; val = false
pos = 24 ; key = bl_mat ; val = false
pos = 25 ; key = bl_post ; val = true
pos = 26 ; key = bl_profile ; val = false
pos = 27 ; key = bl_profile_dist ; val = false
pos = 28 ; key = bl_time ; val = false
pos = 29 ; key = it_display_every ; val = 5
pos = 30 ; key = it_display_final_colmax ; val = 12
pos = 31 ; key = it_display_final_rowmax ; val = 100
pos = 32 ; key = it_display_summmat_colmax ; val = 5
pos = 33 ; key = it_display_summmat_rowmax ; val = 5
pos = 34 ; key = st_img_name_main ; val = _default
pos = 35 ; key = st_img_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/img/
pos = 36 ; key = st_img_prefix ; val =
pos = 37 ; key = st_img_suffix ; val = _p4.png
pos = 38 ; key = st_mat_name_main ; val = _default
pos = 39 ; key = st_mat_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/mat/
pos = 40 ; key = st_mat_prefix ; val =
pos = 41 ; key = st_mat_suffix ; val = _p4
pos = 42 ; key = st_matimg_path_root ; val = C:/Users/fan/CodeDynaAsset//m_fibs/
pos = 43 ; key = st_profile_name_main ; val = _default
pos = 44 ; key = st_profile_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/profile/
pos = 45 ; key = st_profile_prefix ; val =
pos = 46 ; key = st_profile_suffix ; val = _p4
pos = 47 ; key = st_title_prefix ; val =
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _____
bl_display 1 1 0
bl_display_defparam 2 2 1
bl_display_dist 3 3 0
bl_display_evf 4 4 1
bl_display_final 5 5 1
bl_display_final_dist 6 6 0
bl_display_final_dist_detail 7 7 0
bl_display_funcgrids 8 8 0
bl_display_infbridge 9 9 0
bl_display_minccost 10 10 0
bl_graph 11 11 1
bl_graph_coh_t_coh 12 12 1
bl_graph_evf 13 13 1
bl_graph_forinf_discrete 14 14 1
bl_graph_forinf_pol_lvl 15 15 1
bl_graph_forinf_pol_pct 16 16 1
bl_graph_funcgrids 17 17 0
bl_graph_funcgrids_detail 18 18 0
bl_graph_onebyones 19 19 1
bl_graph_pol_lvl 20 20 1
bl_graph_pol_pct 21 21 1
bl_graph_val 22 22 1
bl_img_save 23 23 0
bl_mat 24 24 0
bl_post 25 25 1
bl_profile 26 26 0
bl_profile_dist 27 27 0
bl_time 28 28 0
it_display_every 29 29 5
it_display_final_colmax 30 30 12
it_display_final_rowmax 31 31 100
it_display_summmat_colmax 32 32 5
it_display_summmat_rowmax 33 33 5
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Strings in Container and Sizes and Basic Statistics
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i idx
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st_img_name_main 1 34
st_img_path 2 35
st_img_prefix 3 36
st_img_suffix 4 37
st_mat_name_main 5 38
st_mat_path 6 39
st_mat_prefix 7 40
st_mat_suffix 8 41
st_matimg_path_root 9 42
st_profile_name_main 10 43
st_profile_path 11 44
st_profile_prefix 12 45
st_profile_suffix 13 46
st_title_prefix 14 47
Parse Parameters
% armt_map params_group = values(armt_map, {'ar_z_r_infbr_mesh_wage_w1r2', 'ar_z_wage_mesh_r_infbr_w1r2'}); [ar_z_r_infbr_mesh_wage_w1r2, ar_z_wage_mesh_r_infbr_w1r2] = params_group{:}; params_group = values(armt_map, {'mt_z_trans', 'ar_ak_perc', 'ar_w_level', 'ar_k_mesha', 'ar_a_meshk', 'ar_aplusk_mesh'}); [mt_z_trans, ar_ak_perc, ar_w_level, ar_k_mesha, ar_a_meshk, ar_aplusk_mesh] = params_group{:}; params_group = values(armt_map, {'ar_w_level_full'}); [ar_w_level_full] = params_group{:}; % param_map params_group = values(param_map, {'it_z_n', 'fl_z_r_infbr_n', 'it_z_wage_n'}); [it_z_n, fl_z_r_infbr_n, it_z_wage_n] = params_group{:}; params_group = values(param_map, {'fl_nan_replace', 'fl_b_bd'}); [fl_nan_replace, fl_b_bd] = params_group{:}; params_group = values(param_map, {'st_v_coh_z_interp_method'}); [st_v_coh_z_interp_method] = params_group{:}; % support_map params_group = values(support_map, {'bl_graph_onebyones','bl_display_evf', 'bl_graph_evf'}); [bl_graph_onebyones, bl_display_evf, bl_graph_evf] = params_group{:}; params_group = values(support_map, {'bl_img_save', 'st_img_path', 'st_img_prefix', 'st_img_name_main', 'st_img_suffix'}); [bl_img_save, st_img_path, st_img_prefix, st_img_name_main, st_img_suffix] = params_group{:}; params_group = values(support_map, {'it_display_summmat_rowmax', 'it_display_summmat_colmax'}); [it_display_summmat_rowmax, it_display_summmat_colmax] = params_group{:}; % append function name st_func_name = 'ff_ipwkbzr_fibs_evf'; st_img_name_main = [st_func_name st_img_name_main];
Integrate E(V(coh(k',forinf(b',zr)),zw',zr')|zw,zr)
Start with E(V(coh(k',forinf(b',zr)),zw',zr')|zw,zr), integrate to find EV(k',b';zw,zr).
Note that mt_ev_condi_z rows are less by length of r rate shock times.
- mt_val = (it_w_interp_n*it_ak_perc_n*length(fl_z_r_infbr_n)) by (it_z_wage_n*length(fl_z_r_infbr_n))
- mt_ev_condi_z = (it_w_interp_n*it_ak_perc_n) by (it_z_wage_n*length(fl_z_r_infbr_n))
% 1. Number of W/B/K Choice Combinations it_ak_perc_n = length(ar_ak_perc); it_w_interp_n = length(ar_w_level_full); it_wak_n = it_w_interp_n*it_ak_perc_n; % 2. Initialize mt_ev_condi_z = E(V(coh(k',b',zr'),zw',zr')|zw,zr) % rows = it_wak_n % cols = it_z_n mt_ev_condi_z = zeros([it_wak_n, it_z_n]); for it_z_r_infbr_ctr = 1:1:fl_z_r_infbr_n % Transition Row Subset: ((M^z) by (M^z x M^r))' for one m^r it_mt_z_trans_row_start = it_z_wage_n*(it_z_r_infbr_ctr-1) + 1; it_mt_z_trans_row_end = it_mt_z_trans_row_start + it_z_wage_n - 1; mt_z_trans_cur_z_r_borr = mt_z_trans(it_mt_z_trans_row_start:it_mt_z_trans_row_end, :); if (ismember(st_v_coh_z_interp_method, ["method_idx_a", "method_idx_b", "method_cell"])) mt_ev_condi_z(:, it_mt_z_trans_row_start:it_mt_z_trans_row_end) = ... clmt_val_wkb_interpolated{it_z_r_infbr_ctr}*mt_z_trans_cur_z_r_borr'; elseif (ismember(st_v_coh_z_interp_method, ["method_matrix", "method_mat_seg"])) % Val Segment : ((M^z) by (M^z x M^r))' for one m^r it_mt_val_row_start = it_wak_n*(it_z_r_infbr_ctr-1) + 1; it_mt_val_row_end = it_mt_val_row_start + it_wak_n - 1; mt_val_cur_z_r_borr = clmt_val_wkb_interpolated(it_mt_val_row_start:it_mt_val_row_end, :); % EV(k',b';zw,zr) = E(V(coh(k',b',zr),zw',zr')|zw,zr) for one zr and all zw mt_ev_condi_z(:, it_mt_z_trans_row_start:it_mt_z_trans_row_end) = ... mt_val_cur_z_r_borr*mt_z_trans_cur_z_r_borr'; end end
Reshape E(V(coh,z'|z,w)) to allow for maxing
dim(mt_ev_condi_z): IxJ by M
mt_ev_condi_z_full = reshape(mt_ev_condi_z, [it_ak_perc_n, it_w_interp_n*it_z_n]);
Maximize max_{k'}(E(V(coh(k',b'=w-k'),z'|z,w)) optimal value and index
Maximization, find optimal k'/b' combination given z and w=k'+b'
[ar_ev_condi_z_max, ar_ev_condi_z_max_idx] = max(mt_ev_condi_z_full); mt_ev_condi_z_max = reshape(ar_ev_condi_z_max, [it_w_interp_n, it_z_n]); mt_ev_condi_z_max_idx = reshape(ar_ev_condi_z_max_idx, [it_w_interp_n, it_z_n]); if(bl_display_evf) disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_full: J by IxM'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_full)); % disp(head(array2table(mt_ev_condi_z_full), 20)); % disp(tail(array2table(mt_ev_condi_z_full), 20)); disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_max: I by M'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_max)); disp(head(array2table(mt_ev_condi_z_max), 20)); disp(tail(array2table(mt_ev_condi_z_max), 20)); disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_max_idx: I by M'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_max_idx)); disp(head(array2table(mt_ev_condi_z_max_idx), 20)); disp(tail(array2table(mt_ev_condi_z_max_idx), 20)); end
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mt_ev_condi_z_full: J by IxM
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250 279600
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mt_ev_condi_z_max: I by M
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3728 75
mt_ev_condi_z_max1 mt_ev_condi_z_max2 mt_ev_condi_z_max3 mt_ev_condi_z_max4 mt_ev_condi_z_max5 mt_ev_condi_z_max6 mt_ev_condi_z_max7 mt_ev_condi_z_max8 mt_ev_condi_z_max9 mt_ev_condi_z_max10 mt_ev_condi_z_max11 mt_ev_condi_z_max12 mt_ev_condi_z_max13 mt_ev_condi_z_max14 mt_ev_condi_z_max15 mt_ev_condi_z_max16 mt_ev_condi_z_max17 mt_ev_condi_z_max18 mt_ev_condi_z_max19 mt_ev_condi_z_max20 mt_ev_condi_z_max21 mt_ev_condi_z_max22 mt_ev_condi_z_max23 mt_ev_condi_z_max24 mt_ev_condi_z_max25 mt_ev_condi_z_max26 mt_ev_condi_z_max27 mt_ev_condi_z_max28 mt_ev_condi_z_max29 mt_ev_condi_z_max30 mt_ev_condi_z_max31 mt_ev_condi_z_max32 mt_ev_condi_z_max33 mt_ev_condi_z_max34 mt_ev_condi_z_max35 mt_ev_condi_z_max36 mt_ev_condi_z_max37 mt_ev_condi_z_max38 mt_ev_condi_z_max39 mt_ev_condi_z_max40 mt_ev_condi_z_max41 mt_ev_condi_z_max42 mt_ev_condi_z_max43 mt_ev_condi_z_max44 mt_ev_condi_z_max45 mt_ev_condi_z_max46 mt_ev_condi_z_max47 mt_ev_condi_z_max48 mt_ev_condi_z_max49 mt_ev_condi_z_max50 mt_ev_condi_z_max51 mt_ev_condi_z_max52 mt_ev_condi_z_max53 mt_ev_condi_z_max54 mt_ev_condi_z_max55 mt_ev_condi_z_max56 mt_ev_condi_z_max57 mt_ev_condi_z_max58 mt_ev_condi_z_max59 mt_ev_condi_z_max60 mt_ev_condi_z_max61 mt_ev_condi_z_max62 mt_ev_condi_z_max63 mt_ev_condi_z_max64 mt_ev_condi_z_max65 mt_ev_condi_z_max66 mt_ev_condi_z_max67 mt_ev_condi_z_max68 mt_ev_condi_z_max69 mt_ev_condi_z_max70 mt_ev_condi_z_max71 mt_ev_condi_z_max72 mt_ev_condi_z_max73 mt_ev_condi_z_max74 mt_ev_condi_z_max75
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1.7091 1.7204 1.7344 1.7512 1.7708 1.7938 1.8205 1.8501 1.8822 1.917 1.9546 1.9951 2.0382 2.083 2.1269 1.6552 1.6662 1.6797 1.6959 1.715 1.7373 1.7633 1.7934 1.8274 1.8641 1.9037 1.9462 1.9914 2.0383 2.0841 1.5994 1.6102 1.6235 1.6394 1.6581 1.68 1.7056 1.7352 1.7694 1.8082 1.85 1.8948 1.9423 1.9914 2.0395 1.5439 1.5545 1.5677 1.5839 1.6046 1.6273 1.6526 1.6843 1.719 1.7578 1.8015 1.8484 1.8981 1.9495 1.9995 1.4865 1.4975 1.5107 1.5288 1.5507 1.5747 1.6009 1.6346 1.671 1.711 1.757 1.8059 1.8577 1.9111 1.9631
1.7604 1.7711 1.7845 1.8004 1.8191 1.841 1.8666 1.8954 1.9267 1.9607 1.9975 2.037 2.0792 2.123 2.1661 1.7101 1.7205 1.7334 1.7487 1.7668 1.788 1.8128 1.8415 1.8744 1.9101 1.9487 1.9901 2.0343 2.0801 2.125 1.6583 1.6685 1.6811 1.6961 1.7138 1.7345 1.7587 1.7869 1.8195 1.8568 1.8974 1.941 1.9873 2.0352 2.0822 1.607 1.6171 1.6294 1.6446 1.6641 1.6856 1.7095 1.7395 1.7724 1.8107 1.8532 1.8987 1.9469 1.9968 2.0455 1.5544 1.5646 1.5769 1.5939 1.6144 1.637 1.6618 1.6935 1.7279 1.7679 1.8122 1.8595 1.9096 1.9613 2.0118
mt_ev_condi_z_max1 mt_ev_condi_z_max2 mt_ev_condi_z_max3 mt_ev_condi_z_max4 mt_ev_condi_z_max5 mt_ev_condi_z_max6 mt_ev_condi_z_max7 mt_ev_condi_z_max8 mt_ev_condi_z_max9 mt_ev_condi_z_max10 mt_ev_condi_z_max11 mt_ev_condi_z_max12 mt_ev_condi_z_max13 mt_ev_condi_z_max14 mt_ev_condi_z_max15 mt_ev_condi_z_max16 mt_ev_condi_z_max17 mt_ev_condi_z_max18 mt_ev_condi_z_max19 mt_ev_condi_z_max20 mt_ev_condi_z_max21 mt_ev_condi_z_max22 mt_ev_condi_z_max23 mt_ev_condi_z_max24 mt_ev_condi_z_max25 mt_ev_condi_z_max26 mt_ev_condi_z_max27 mt_ev_condi_z_max28 mt_ev_condi_z_max29 mt_ev_condi_z_max30 mt_ev_condi_z_max31 mt_ev_condi_z_max32 mt_ev_condi_z_max33 mt_ev_condi_z_max34 mt_ev_condi_z_max35 mt_ev_condi_z_max36 mt_ev_condi_z_max37 mt_ev_condi_z_max38 mt_ev_condi_z_max39 mt_ev_condi_z_max40 mt_ev_condi_z_max41 mt_ev_condi_z_max42 mt_ev_condi_z_max43 mt_ev_condi_z_max44 mt_ev_condi_z_max45 mt_ev_condi_z_max46 mt_ev_condi_z_max47 mt_ev_condi_z_max48 mt_ev_condi_z_max49 mt_ev_condi_z_max50 mt_ev_condi_z_max51 mt_ev_condi_z_max52 mt_ev_condi_z_max53 mt_ev_condi_z_max54 mt_ev_condi_z_max55 mt_ev_condi_z_max56 mt_ev_condi_z_max57 mt_ev_condi_z_max58 mt_ev_condi_z_max59 mt_ev_condi_z_max60 mt_ev_condi_z_max61 mt_ev_condi_z_max62 mt_ev_condi_z_max63 mt_ev_condi_z_max64 mt_ev_condi_z_max65 mt_ev_condi_z_max66 mt_ev_condi_z_max67 mt_ev_condi_z_max68 mt_ev_condi_z_max69 mt_ev_condi_z_max70 mt_ev_condi_z_max71 mt_ev_condi_z_max72 mt_ev_condi_z_max73 mt_ev_condi_z_max74 mt_ev_condi_z_max75
__________________ __________________ __________________ __________________ __________________ __________________ __________________ __________________ __________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________________
4.1976 4.1986 4.1998 4.2012 4.2029 4.205 4.2074 4.2104 4.2139 4.218 4.223 4.2289 4.2358 4.2436 4.2521 4.1976 4.1986 4.1998 4.2012 4.2029 4.205 4.2074 4.2104 4.2139 4.218 4.223 4.2289 4.2358 4.2436 4.2521 4.1976 4.1986 4.1998 4.2012 4.2029 4.205 4.2074 4.2104 4.2139 4.218 4.223 4.2289 4.2358 4.2436 4.2521 4.1976 4.1986 4.1998 4.2012 4.2029 4.205 4.2074 4.2104 4.2139 4.218 4.223 4.2289 4.2358 4.2436 4.2521 4.1976 4.1986 4.1998 4.2012 4.2029 4.205 4.2074 4.2104 4.2139 4.218 4.223 4.2289 4.2358 4.2436 4.2521
4.202 4.2029 4.2041 4.2055 4.2073 4.2093 4.2118 4.2147 4.2182 4.2223 4.2272 4.2331 4.2399 4.2478 4.2562 4.202 4.2029 4.2041 4.2055 4.2073 4.2093 4.2118 4.2147 4.2182 4.2223 4.2272 4.2331 4.2399 4.2478 4.2562 4.202 4.2029 4.2041 4.2055 4.2073 4.2093 4.2118 4.2147 4.2182 4.2223 4.2272 4.2331 4.2399 4.2478 4.2562 4.202 4.2029 4.2041 4.2055 4.2073 4.2093 4.2118 4.2147 4.2182 4.2223 4.2272 4.2331 4.2399 4.2478 4.2562 4.202 4.2029 4.2041 4.2055 4.2073 4.2093 4.2118 4.2147 4.2182 4.2223 4.2272 4.2331 4.2399 4.2478 4.2562
4.2063 4.2072 4.2084 4.2099 4.2116 4.2136 4.2161 4.219 4.2224 4.2266 4.2315 4.2373 4.2441 4.2519 4.2603 4.2063 4.2072 4.2084 4.2099 4.2116 4.2136 4.2161 4.219 4.2224 4.2266 4.2315 4.2373 4.2441 4.2519 4.2603 4.2063 4.2072 4.2084 4.2099 4.2116 4.2136 4.2161 4.219 4.2224 4.2266 4.2315 4.2373 4.2441 4.2519 4.2603 4.2063 4.2072 4.2084 4.2099 4.2116 4.2136 4.2161 4.219 4.2224 4.2266 4.2315 4.2373 4.2441 4.2519 4.2603 4.2063 4.2072 4.2084 4.2099 4.2116 4.2136 4.2161 4.219 4.2224 4.2266 4.2315 4.2373 4.2441 4.2519 4.2603
4.2106 4.2116 4.2127 4.2142 4.2159 4.2179 4.2203 4.2232 4.2267 4.2308 4.2357 4.2415 4.2483 4.2561 4.2644 4.2106 4.2116 4.2127 4.2142 4.2159 4.2179 4.2203 4.2232 4.2267 4.2308 4.2357 4.2415 4.2483 4.2561 4.2644 4.2106 4.2116 4.2127 4.2142 4.2159 4.2179 4.2203 4.2232 4.2267 4.2308 4.2357 4.2415 4.2483 4.2561 4.2644 4.2106 4.2116 4.2127 4.2142 4.2159 4.2179 4.2203 4.2232 4.2267 4.2308 4.2357 4.2415 4.2483 4.2561 4.2644 4.2106 4.2116 4.2127 4.2142 4.2159 4.2179 4.2203 4.2232 4.2267 4.2308 4.2357 4.2415 4.2483 4.2561 4.2644
4.2149 4.2159 4.217 4.2184 4.2201 4.2222 4.2246 4.2275 4.2309 4.235 4.2399 4.2456 4.2524 4.2602 4.2685 4.2149 4.2159 4.217 4.2184 4.2201 4.2222 4.2246 4.2275 4.2309 4.235 4.2399 4.2456 4.2524 4.2602 4.2685 4.2149 4.2159 4.217 4.2184 4.2201 4.2222 4.2246 4.2275 4.2309 4.235 4.2399 4.2456 4.2524 4.2602 4.2685 4.2149 4.2159 4.217 4.2184 4.2201 4.2222 4.2246 4.2275 4.2309 4.235 4.2399 4.2456 4.2524 4.2602 4.2685 4.2149 4.2159 4.217 4.2184 4.2201 4.2222 4.2246 4.2275 4.2309 4.235 4.2399 4.2456 4.2524 4.2602 4.2685
4.2192 4.2201 4.2213 4.2227 4.2244 4.2264 4.2288 4.2317 4.2351 4.2392 4.2441 4.2498 4.2566 4.2643 4.2725 4.2192 4.2201 4.2213 4.2227 4.2244 4.2264 4.2288 4.2317 4.2351 4.2392 4.2441 4.2498 4.2566 4.2643 4.2725 4.2192 4.2201 4.2213 4.2227 4.2244 4.2264 4.2288 4.2317 4.2351 4.2392 4.2441 4.2498 4.2566 4.2643 4.2725 4.2192 4.2201 4.2213 4.2227 4.2244 4.2264 4.2288 4.2317 4.2351 4.2392 4.2441 4.2498 4.2566 4.2643 4.2725 4.2192 4.2201 4.2213 4.2227 4.2244 4.2264 4.2288 4.2317 4.2351 4.2392 4.2441 4.2498 4.2566 4.2643 4.2725
4.2235 4.2244 4.2256 4.227 4.2287 4.2307 4.2331 4.2359 4.2393 4.2434 4.2482 4.2539 4.2607 4.2683 4.2766 4.2235 4.2244 4.2256 4.227 4.2287 4.2307 4.2331 4.2359 4.2393 4.2434 4.2482 4.2539 4.2607 4.2683 4.2766 4.2235 4.2244 4.2256 4.227 4.2287 4.2307 4.2331 4.2359 4.2393 4.2434 4.2482 4.2539 4.2607 4.2683 4.2766 4.2235 4.2244 4.2256 4.227 4.2287 4.2307 4.2331 4.2359 4.2393 4.2434 4.2482 4.2539 4.2607 4.2683 4.2766 4.2235 4.2244 4.2256 4.227 4.2287 4.2307 4.2331 4.2359 4.2393 4.2434 4.2482 4.2539 4.2607 4.2683 4.2766
4.2277 4.2286 4.2298 4.2312 4.2329 4.2349 4.2373 4.2401 4.2435 4.2475 4.2524 4.2581 4.2648 4.2724 4.2806 4.2277 4.2286 4.2298 4.2312 4.2329 4.2349 4.2373 4.2401 4.2435 4.2475 4.2524 4.2581 4.2648 4.2724 4.2806 4.2277 4.2286 4.2298 4.2312 4.2329 4.2349 4.2373 4.2401 4.2435 4.2475 4.2524 4.2581 4.2648 4.2724 4.2806 4.2277 4.2286 4.2298 4.2312 4.2329 4.2349 4.2373 4.2401 4.2435 4.2475 4.2524 4.2581 4.2648 4.2724 4.2806 4.2277 4.2286 4.2298 4.2312 4.2329 4.2349 4.2373 4.2401 4.2435 4.2475 4.2524 4.2581 4.2648 4.2724 4.2806
4.2319 4.2329 4.234 4.2354 4.2371 4.2391 4.2415 4.2443 4.2477 4.2517 4.2565 4.2622 4.2688 4.2764 4.2846 4.2319 4.2329 4.234 4.2354 4.2371 4.2391 4.2415 4.2443 4.2477 4.2517 4.2565 4.2622 4.2688 4.2764 4.2846 4.2319 4.2329 4.234 4.2354 4.2371 4.2391 4.2415 4.2443 4.2477 4.2517 4.2565 4.2622 4.2688 4.2764 4.2846 4.2319 4.2329 4.234 4.2354 4.2371 4.2391 4.2415 4.2443 4.2477 4.2517 4.2565 4.2622 4.2688 4.2764 4.2846 4.2319 4.2329 4.234 4.2354 4.2371 4.2391 4.2415 4.2443 4.2477 4.2517 4.2565 4.2622 4.2688 4.2764 4.2846
4.2362 4.2371 4.2382 4.2396 4.2413 4.2433 4.2456 4.2485 4.2518 4.2558 4.2606 4.2662 4.2729 4.2805 4.2886 4.2362 4.2371 4.2382 4.2396 4.2413 4.2433 4.2456 4.2485 4.2518 4.2558 4.2606 4.2662 4.2729 4.2805 4.2886 4.2362 4.2371 4.2382 4.2396 4.2413 4.2433 4.2456 4.2485 4.2518 4.2558 4.2606 4.2662 4.2729 4.2805 4.2886 4.2362 4.2371 4.2382 4.2396 4.2413 4.2433 4.2456 4.2485 4.2518 4.2558 4.2606 4.2662 4.2729 4.2805 4.2886 4.2362 4.2371 4.2382 4.2396 4.2413 4.2433 4.2456 4.2485 4.2518 4.2558 4.2606 4.2662 4.2729 4.2805 4.2886
4.2403 4.2413 4.2424 4.2438 4.2454 4.2474 4.2498 4.2526 4.2559 4.2599 4.2647 4.2703 4.2769 4.2845 4.2926 4.2403 4.2413 4.2424 4.2438 4.2454 4.2474 4.2498 4.2526 4.2559 4.2599 4.2647 4.2703 4.2769 4.2845 4.2926 4.2403 4.2413 4.2424 4.2438 4.2454 4.2474 4.2498 4.2526 4.2559 4.2599 4.2647 4.2703 4.2769 4.2845 4.2926 4.2403 4.2413 4.2424 4.2438 4.2454 4.2474 4.2498 4.2526 4.2559 4.2599 4.2647 4.2703 4.2769 4.2845 4.2926 4.2403 4.2413 4.2424 4.2438 4.2454 4.2474 4.2498 4.2526 4.2559 4.2599 4.2647 4.2703 4.2769 4.2845 4.2926
4.2445 4.2454 4.2466 4.2479 4.2496 4.2516 4.2539 4.2567 4.2601 4.264 4.2688 4.2744 4.281 4.2885 4.2965 4.2445 4.2454 4.2466 4.2479 4.2496 4.2516 4.2539 4.2567 4.2601 4.264 4.2688 4.2744 4.281 4.2885 4.2965 4.2445 4.2454 4.2466 4.2479 4.2496 4.2516 4.2539 4.2567 4.2601 4.264 4.2688 4.2744 4.281 4.2885 4.2965 4.2445 4.2454 4.2466 4.2479 4.2496 4.2516 4.2539 4.2567 4.2601 4.264 4.2688 4.2744 4.281 4.2885 4.2965 4.2445 4.2454 4.2466 4.2479 4.2496 4.2516 4.2539 4.2567 4.2601 4.264 4.2688 4.2744 4.281 4.2885 4.2965
4.2487 4.2496 4.2507 4.2521 4.2537 4.2557 4.258 4.2608 4.2641 4.2681 4.2728 4.2784 4.285 4.2925 4.3005 4.2487 4.2496 4.2507 4.2521 4.2537 4.2557 4.258 4.2608 4.2641 4.2681 4.2728 4.2784 4.285 4.2925 4.3005 4.2487 4.2496 4.2507 4.2521 4.2537 4.2557 4.258 4.2608 4.2641 4.2681 4.2728 4.2784 4.285 4.2925 4.3005 4.2487 4.2496 4.2507 4.2521 4.2537 4.2557 4.258 4.2608 4.2641 4.2681 4.2728 4.2784 4.285 4.2925 4.3005 4.2487 4.2496 4.2507 4.2521 4.2537 4.2557 4.258 4.2608 4.2641 4.2681 4.2728 4.2784 4.285 4.2925 4.3005
4.2528 4.2537 4.2548 4.2562 4.2579 4.2598 4.2621 4.2649 4.2682 4.2722 4.2769 4.2824 4.289 4.2964 4.3044 4.2528 4.2537 4.2548 4.2562 4.2579 4.2598 4.2621 4.2649 4.2682 4.2722 4.2769 4.2824 4.289 4.2964 4.3044 4.2528 4.2537 4.2548 4.2562 4.2579 4.2598 4.2621 4.2649 4.2682 4.2722 4.2769 4.2824 4.289 4.2964 4.3044 4.2528 4.2537 4.2548 4.2562 4.2579 4.2598 4.2621 4.2649 4.2682 4.2722 4.2769 4.2824 4.289 4.2964 4.3044 4.2528 4.2537 4.2548 4.2562 4.2579 4.2598 4.2621 4.2649 4.2682 4.2722 4.2769 4.2824 4.289 4.2964 4.3044
4.2569 4.2578 4.259 4.2603 4.262 4.2639 4.2662 4.269 4.2723 4.2762 4.2809 4.2864 4.2929 4.3004 4.3083 4.2569 4.2578 4.259 4.2603 4.262 4.2639 4.2662 4.269 4.2723 4.2762 4.2809 4.2864 4.2929 4.3004 4.3083 4.2569 4.2578 4.259 4.2603 4.262 4.2639 4.2662 4.269 4.2723 4.2762 4.2809 4.2864 4.2929 4.3004 4.3083 4.2569 4.2578 4.259 4.2603 4.262 4.2639 4.2662 4.269 4.2723 4.2762 4.2809 4.2864 4.2929 4.3004 4.3083 4.2569 4.2578 4.259 4.2603 4.262 4.2639 4.2662 4.269 4.2723 4.2762 4.2809 4.2864 4.2929 4.3004 4.3083
4.261 4.2619 4.2631 4.2644 4.266 4.268 4.2703 4.273 4.2763 4.2802 4.2849 4.2904 4.2969 4.3043 4.3122 4.261 4.2619 4.2631 4.2644 4.266 4.268 4.2703 4.273 4.2763 4.2802 4.2849 4.2904 4.2969 4.3043 4.3122 4.261 4.2619 4.2631 4.2644 4.266 4.268 4.2703 4.273 4.2763 4.2802 4.2849 4.2904 4.2969 4.3043 4.3122 4.261 4.2619 4.2631 4.2644 4.266 4.268 4.2703 4.273 4.2763 4.2802 4.2849 4.2904 4.2969 4.3043 4.3122 4.261 4.2619 4.2631 4.2644 4.266 4.268 4.2703 4.273 4.2763 4.2802 4.2849 4.2904 4.2969 4.3043 4.3122
4.2651 4.266 4.2671 4.2685 4.2701 4.272 4.2743 4.2771 4.2804 4.2843 4.2889 4.2944 4.3008 4.3082 4.3161 4.2651 4.266 4.2671 4.2685 4.2701 4.272 4.2743 4.2771 4.2804 4.2843 4.2889 4.2944 4.3008 4.3082 4.3161 4.2651 4.266 4.2671 4.2685 4.2701 4.272 4.2743 4.2771 4.2804 4.2843 4.2889 4.2944 4.3008 4.3082 4.3161 4.2651 4.266 4.2671 4.2685 4.2701 4.272 4.2743 4.2771 4.2804 4.2843 4.2889 4.2944 4.3008 4.3082 4.3161 4.2651 4.266 4.2671 4.2685 4.2701 4.272 4.2743 4.2771 4.2804 4.2843 4.2889 4.2944 4.3008 4.3082 4.3161
4.2692 4.2701 4.2712 4.2726 4.2742 4.2761 4.2784 4.2811 4.2844 4.2882 4.2929 4.2983 4.3048 4.3121 4.32 4.2692 4.2701 4.2712 4.2726 4.2742 4.2761 4.2784 4.2811 4.2844 4.2882 4.2929 4.2983 4.3048 4.3121 4.32 4.2692 4.2701 4.2712 4.2726 4.2742 4.2761 4.2784 4.2811 4.2844 4.2882 4.2929 4.2983 4.3048 4.3121 4.32 4.2692 4.2701 4.2712 4.2726 4.2742 4.2761 4.2784 4.2811 4.2844 4.2882 4.2929 4.2983 4.3048 4.3121 4.32 4.2692 4.2701 4.2712 4.2726 4.2742 4.2761 4.2784 4.2811 4.2844 4.2882 4.2929 4.2983 4.3048 4.3121 4.32
4.2733 4.2741 4.2753 4.2766 4.2782 4.2801 4.2824 4.2851 4.2884 4.2922 4.2968 4.3023 4.3087 4.316 4.3239 4.2733 4.2741 4.2753 4.2766 4.2782 4.2801 4.2824 4.2851 4.2884 4.2922 4.2968 4.3023 4.3087 4.316 4.3239 4.2733 4.2741 4.2753 4.2766 4.2782 4.2801 4.2824 4.2851 4.2884 4.2922 4.2968 4.3023 4.3087 4.316 4.3239 4.2733 4.2741 4.2753 4.2766 4.2782 4.2801 4.2824 4.2851 4.2884 4.2922 4.2968 4.3023 4.3087 4.316 4.3239 4.2733 4.2741 4.2753 4.2766 4.2782 4.2801 4.2824 4.2851 4.2884 4.2922 4.2968 4.3023 4.3087 4.316 4.3239
4.2773 4.2782 4.2793 4.2806 4.2822 4.2841 4.2864 4.2891 4.2923 4.2962 4.3008 4.3062 4.3126 4.3199 4.3277 4.2773 4.2782 4.2793 4.2806 4.2822 4.2841 4.2864 4.2891 4.2923 4.2962 4.3008 4.3062 4.3126 4.3199 4.3277 4.2773 4.2782 4.2793 4.2806 4.2822 4.2841 4.2864 4.2891 4.2923 4.2962 4.3008 4.3062 4.3126 4.3199 4.3277 4.2773 4.2782 4.2793 4.2806 4.2822 4.2841 4.2864 4.2891 4.2923 4.2962 4.3008 4.3062 4.3126 4.3199 4.3277 4.2773 4.2782 4.2793 4.2806 4.2822 4.2841 4.2864 4.2891 4.2923 4.2962 4.3008 4.3062 4.3126 4.3199 4.3277
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mt_ev_condi_z_max_idx: I by M
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mt_ev_condi_z_max_idx1 mt_ev_condi_z_max_idx2 mt_ev_condi_z_max_idx3 mt_ev_condi_z_max_idx4 mt_ev_condi_z_max_idx5 mt_ev_condi_z_max_idx6 mt_ev_condi_z_max_idx7 mt_ev_condi_z_max_idx8 mt_ev_condi_z_max_idx9 mt_ev_condi_z_max_idx10 mt_ev_condi_z_max_idx11 mt_ev_condi_z_max_idx12 mt_ev_condi_z_max_idx13 mt_ev_condi_z_max_idx14 mt_ev_condi_z_max_idx15 mt_ev_condi_z_max_idx16 mt_ev_condi_z_max_idx17 mt_ev_condi_z_max_idx18 mt_ev_condi_z_max_idx19 mt_ev_condi_z_max_idx20 mt_ev_condi_z_max_idx21 mt_ev_condi_z_max_idx22 mt_ev_condi_z_max_idx23 mt_ev_condi_z_max_idx24 mt_ev_condi_z_max_idx25 mt_ev_condi_z_max_idx26 mt_ev_condi_z_max_idx27 mt_ev_condi_z_max_idx28 mt_ev_condi_z_max_idx29 mt_ev_condi_z_max_idx30 mt_ev_condi_z_max_idx31 mt_ev_condi_z_max_idx32 mt_ev_condi_z_max_idx33 mt_ev_condi_z_max_idx34 mt_ev_condi_z_max_idx35 mt_ev_condi_z_max_idx36 mt_ev_condi_z_max_idx37 mt_ev_condi_z_max_idx38 mt_ev_condi_z_max_idx39 mt_ev_condi_z_max_idx40 mt_ev_condi_z_max_idx41 mt_ev_condi_z_max_idx42 mt_ev_condi_z_max_idx43 mt_ev_condi_z_max_idx44 mt_ev_condi_z_max_idx45 mt_ev_condi_z_max_idx46 mt_ev_condi_z_max_idx47 mt_ev_condi_z_max_idx48 mt_ev_condi_z_max_idx49 mt_ev_condi_z_max_idx50 mt_ev_condi_z_max_idx51 mt_ev_condi_z_max_idx52 mt_ev_condi_z_max_idx53 mt_ev_condi_z_max_idx54 mt_ev_condi_z_max_idx55 mt_ev_condi_z_max_idx56 mt_ev_condi_z_max_idx57 mt_ev_condi_z_max_idx58 mt_ev_condi_z_max_idx59 mt_ev_condi_z_max_idx60 mt_ev_condi_z_max_idx61 mt_ev_condi_z_max_idx62 mt_ev_condi_z_max_idx63 mt_ev_condi_z_max_idx64 mt_ev_condi_z_max_idx65 mt_ev_condi_z_max_idx66 mt_ev_condi_z_max_idx67 mt_ev_condi_z_max_idx68 mt_ev_condi_z_max_idx69 mt_ev_condi_z_max_idx70 mt_ev_condi_z_max_idx71 mt_ev_condi_z_max_idx72 mt_ev_condi_z_max_idx73 mt_ev_condi_z_max_idx74 mt_ev_condi_z_max_idx75
______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 221 245 250 250 250 250 250 250 250 250 250 250 250 250 250 221 221 222 250 250 250 250 250 250 250 250 250 250 250 250
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 208 244 250 250 250 250 250 250 250 250 250 250 250 250 250 177 201 238 250 250 250 250 250 250 250 250 250 250 250 250 177 177 196 233 250 250 250 250 250 250 250 250 250 250 250
250 250 250 250 250 250 250 250 250 250 250 250 250 250 250 215 250 250 250 250 250 250 250 250 250 250 250 250 250 250 174 204 242 250 250 250 250 250 250 250 250 250 250 250 250 148 169 201 238 250 250 250 250 250 250 250 250 250 250 250 148 148 168 200 238 250 250 250 250 250 250 250 250 250 250
235 250 250 250 250 250 250 250 250 250 250 250 250 250 250 185 217 250 250 250 250 250 250 250 250 250 250 250 250 250 150 176 209 248 250 250 250 250 250 250 250 250 250 250 250 127 146 173 206 245 250 250 250 250 250 250 250 250 250 250 127 127 146 174 250 250 250 250 250 250 250 250 250 250 250
206 242 250 250 250 250 250 250 250 250 250 250 250 250 250 162 191 226 250 250 250 250 250 250 250 250 250 250 250 250 132 155 183 218 250 250 250 250 250 250 250 250 250 250 250 111 129 152 181 250 250 250 250 250 250 250 250 250 250 250 111 111 129 250 250 250 250 250 250 250 250 250 250 250 250
184 216 250 250 250 250 250 250 250 250 250 250 250 250 250 144 170 201 240 250 250 250 250 250 250 250 250 250 250 250 117 138 164 195 232 250 250 250 250 250 250 250 250 250 250 99 115 136 245 245 246 250 250 250 250 250 250 250 250 250 99 99 115 245 245 245 246 250 250 250 250 250 250 250 250
166 195 231 250 250 250 250 250 250 250 250 250 250 250 250 130 153 182 216 250 250 250 250 250 250 250 250 250 250 250 106 124 148 176 209 249 250 250 250 250 250 250 250 250 250 89 103 123 221 221 221 247 250 250 250 250 250 250 250 250 89 89 104 221 221 221 221 249 250 250 250 250 250 250 250
151 177 210 250 250 250 250 250 250 250 250 250 250 250 250 119 139 165 197 235 250 250 250 250 250 250 250 250 250 250 96 113 134 160 191 227 250 250 250 250 250 250 250 250 250 81 94 112 201 201 201 225 250 250 250 250 250 250 250 250 81 81 95 201 201 201 201 227 250 250 250 250 250 250 250
138 163 193 230 250 250 250 250 250 250 250 250 250 250 250 109 128 152 181 216 250 250 250 250 250 250 250 250 250 250 88 104 123 147 175 209 249 250 250 250 250 250 250 250 250 75 87 103 184 184 185 207 246 250 250 250 250 250 250 250 74 75 87 184 184 184 185 209 250 250 250 250 250 250 250
128 150 178 213 250 250 250 250 250 250 250 250 250 250 250 101 118 140 167 199 238 250 250 250 250 250 250 250 250 250 82 96 114 136 162 193 230 250 250 250 250 250 250 250 250 69 80 95 170 170 170 191 250 250 250 250 250 250 250 250 69 69 81 170 170 170 170 250 250 250 250 250 250 250 250
119 140 166 198 236 250 250 250 250 250 250 250 250 250 250 93 110 131 155 185 221 250 250 250 250 250 250 250 250 250 76 89 106 126 151 179 214 250 250 250 250 250 250 250 250 64 74 88 158 158 158 178 250 250 250 250 250 250 250 250 64 64 75 158 158 158 158 250 250 250 250 250 250 250 250
111 130 155 185 220 250 250 250 250 250 250 250 250 250 250 87 103 122 145 173 206 246 250 250 250 250 250 250 250 250 71 84 99 118 141 168 200 238 250 250 250 250 250 250 250 60 70 83 147 148 148 166 236 236 250 250 250 250 250 250 60 60 70 147 147 148 148 236 236 239 250 250 250 250 250
104 122 145 173 207 246 250 250 250 250 250 250 250 250 250 82 96 114 136 163 194 231 250 250 250 250 250 250 250 250 67 78 93 111 132 157 188 224 250 250 250 250 250 250 250 56 65 78 138 138 139 156 221 222 250 250 250 250 250 250 56 56 66 138 138 138 221 221 221 224 250 250 250 250 250
98 115 137 163 195 232 250 250 250 250 250 250 250 250 250 77 91 108 128 153 183 218 250 250 250 250 250 250 250 250 63 74 88 104 124 148 177 211 250 250 250 250 250 250 250 53 62 73 130 130 131 147 208 209 249 250 250 250 250 250 53 53 62 130 130 130 208 208 208 211 250 250 250 250 250
93 109 129 154 184 219 250 250 250 250 250 250 250 250 250 73 86 102 121 145 173 206 245 250 250 250 250 250 250 250 59 70 83 99 118 140 167 199 237 250 250 250 250 250 250 50 58 69 123 123 123 139 197 198 235 250 250 250 250 250 50 50 59 123 123 123 196 196 197 250 250 250 250 250 250
88 103 123 146 174 208 248 250 250 250 250 250 250 250 250 69 81 97 115 137 164 195 233 250 250 250 250 250 250 250 56 66 79 94 112 133 159 189 225 250 250 250 250 250 250 48 55 66 116 117 117 132 186 187 250 250 250 250 250 250 47 48 56 116 117 117 186 186 186 250 250 250 250 250 250
mt_ev_condi_z_max_idx1 mt_ev_condi_z_max_idx2 mt_ev_condi_z_max_idx3 mt_ev_condi_z_max_idx4 mt_ev_condi_z_max_idx5 mt_ev_condi_z_max_idx6 mt_ev_condi_z_max_idx7 mt_ev_condi_z_max_idx8 mt_ev_condi_z_max_idx9 mt_ev_condi_z_max_idx10 mt_ev_condi_z_max_idx11 mt_ev_condi_z_max_idx12 mt_ev_condi_z_max_idx13 mt_ev_condi_z_max_idx14 mt_ev_condi_z_max_idx15 mt_ev_condi_z_max_idx16 mt_ev_condi_z_max_idx17 mt_ev_condi_z_max_idx18 mt_ev_condi_z_max_idx19 mt_ev_condi_z_max_idx20 mt_ev_condi_z_max_idx21 mt_ev_condi_z_max_idx22 mt_ev_condi_z_max_idx23 mt_ev_condi_z_max_idx24 mt_ev_condi_z_max_idx25 mt_ev_condi_z_max_idx26 mt_ev_condi_z_max_idx27 mt_ev_condi_z_max_idx28 mt_ev_condi_z_max_idx29 mt_ev_condi_z_max_idx30 mt_ev_condi_z_max_idx31 mt_ev_condi_z_max_idx32 mt_ev_condi_z_max_idx33 mt_ev_condi_z_max_idx34 mt_ev_condi_z_max_idx35 mt_ev_condi_z_max_idx36 mt_ev_condi_z_max_idx37 mt_ev_condi_z_max_idx38 mt_ev_condi_z_max_idx39 mt_ev_condi_z_max_idx40 mt_ev_condi_z_max_idx41 mt_ev_condi_z_max_idx42 mt_ev_condi_z_max_idx43 mt_ev_condi_z_max_idx44 mt_ev_condi_z_max_idx45 mt_ev_condi_z_max_idx46 mt_ev_condi_z_max_idx47 mt_ev_condi_z_max_idx48 mt_ev_condi_z_max_idx49 mt_ev_condi_z_max_idx50 mt_ev_condi_z_max_idx51 mt_ev_condi_z_max_idx52 mt_ev_condi_z_max_idx53 mt_ev_condi_z_max_idx54 mt_ev_condi_z_max_idx55 mt_ev_condi_z_max_idx56 mt_ev_condi_z_max_idx57 mt_ev_condi_z_max_idx58 mt_ev_condi_z_max_idx59 mt_ev_condi_z_max_idx60 mt_ev_condi_z_max_idx61 mt_ev_condi_z_max_idx62 mt_ev_condi_z_max_idx63 mt_ev_condi_z_max_idx64 mt_ev_condi_z_max_idx65 mt_ev_condi_z_max_idx66 mt_ev_condi_z_max_idx67 mt_ev_condi_z_max_idx68 mt_ev_condi_z_max_idx69 mt_ev_condi_z_max_idx70 mt_ev_condi_z_max_idx71 mt_ev_condi_z_max_idx72 mt_ev_condi_z_max_idx73 mt_ev_condi_z_max_idx74 mt_ev_condi_z_max_idx75
______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________
8 9 11 13 15 18 22 26 31 36 43 52 61 73 85 8 9 11 13 15 18 22 26 31 36 43 52 61 73 85 8 9 11 13 15 18 22 26 31 36 43 52 61 73 85 8 9 11 13 15 18 22 26 31 36 43 52 61 73 85 8 9 11 13 15 18 22 26 31 36 43 52 61 73 85
8 9 11 13 15 18 22 26 30 36 43 51 61 72 85 8 9 11 13 15 18 22 26 30 36 43 51 61 72 85 8 9 11 13 15 18 22 26 30 36 43 51 61 72 85 8 9 11 13 15 18 22 26 30 36 43 51 61 72 85 8 9 11 13 15 18 22 26 30 36 43 51 61 72 85
8 9 11 13 15 18 21 26 30 36 43 51 61 72 84 8 9 11 13 15 18 21 26 30 36 43 51 61 72 84 8 9 11 13 15 18 21 26 30 36 43 51 61 72 84 8 9 11 13 15 18 21 26 30 36 43 51 61 72 84 8 9 11 13 15 18 21 26 30 36 43 51 61 72 84
8 9 11 13 15 18 21 25 30 36 43 51 61 72 84 8 9 11 13 15 18 21 25 30 36 43 51 61 72 84 8 9 11 13 15 18 21 25 30 36 43 51 61 72 84 8 9 11 13 15 18 21 25 30 36 43 51 61 72 84 8 9 11 13 15 18 21 25 30 36 43 51 61 72 84
8 9 11 13 15 18 21 25 30 36 43 51 60 71 83 8 9 11 13 15 18 21 25 30 36 43 51 60 71 83 8 9 11 13 15 18 21 25 30 36 43 51 60 71 83 8 9 11 13 15 18 21 25 30 36 43 51 60 71 83 8 9 11 13 15 18 21 25 30 36 43 51 60 71 83
8 9 11 13 15 18 21 25 30 36 42 51 60 71 83 8 9 11 13 15 18 21 25 30 36 42 51 60 71 83 8 9 11 13 15 18 21 25 30 36 42 51 60 71 83 8 9 11 13 15 18 21 25 30 36 42 51 60 71 83 8 9 11 13 15 18 21 25 30 36 42 51 60 71 83
8 9 11 13 15 18 21 25 30 35 42 50 60 71 83 8 9 11 13 15 18 21 25 30 35 42 50 60 71 83 8 9 11 13 15 18 21 25 30 35 42 50 60 71 83 8 9 11 13 15 18 21 25 30 35 42 50 60 71 83 8 9 11 13 15 18 21 25 30 35 42 50 60 71 83
8 9 11 13 15 18 21 25 30 35 42 50 60 71 82 8 9 11 13 15 18 21 25 30 35 42 50 60 71 82 8 9 11 13 15 18 21 25 30 35 42 50 60 71 82 8 9 11 13 15 18 21 25 30 35 42 50 60 71 82 8 9 11 13 15 18 21 25 30 35 42 50 60 71 82
8 9 11 13 15 18 21 25 30 35 42 50 59 70 82 8 9 11 13 15 18 21 25 30 35 42 50 59 70 82 8 9 11 13 15 18 21 25 30 35 42 50 59 70 82 8 9 11 13 15 18 21 25 30 35 42 50 59 70 82 8 9 11 13 15 18 21 25 30 35 42 50 59 70 82
8 9 11 13 15 18 21 25 29 35 42 50 59 70 82 8 9 11 13 15 18 21 25 29 35 42 50 59 70 82 8 9 11 13 15 18 21 25 29 35 42 50 59 70 82 8 9 11 13 15 18 21 25 29 35 42 50 59 70 82 8 9 11 13 15 18 21 25 29 35 42 50 59 70 82
8 9 11 12 15 17 21 25 29 35 42 50 59 70 81 8 9 11 12 15 17 21 25 29 35 42 50 59 70 81 8 9 11 12 15 17 21 25 29 35 42 50 59 70 81 8 9 11 12 15 17 21 25 29 35 42 50 59 70 81 8 9 11 12 15 17 21 25 29 35 42 50 59 70 81
8 9 11 12 15 17 21 25 29 35 41 49 59 69 81 8 9 11 12 15 17 21 25 29 35 41 49 59 69 81 8 9 11 12 15 17 21 25 29 35 41 49 59 69 81 8 9 11 12 15 17 21 25 29 35 41 49 59 69 81 8 9 11 12 15 17 21 25 29 35 41 49 59 69 81
8 9 10 12 15 17 21 24 29 35 41 49 58 69 81 8 9 10 12 15 17 21 24 29 35 41 49 58 69 81 8 9 10 12 15 17 21 24 29 35 41 49 58 69 81 8 9 10 12 15 17 21 24 29 35 41 49 58 69 81 8 9 10 12 15 17 21 24 29 35 41 49 58 69 81
8 9 10 12 15 17 21 24 29 34 41 49 58 69 80 8 9 10 12 15 17 21 24 29 34 41 49 58 69 80 8 9 10 12 15 17 21 24 29 34 41 49 58 69 80 8 9 10 12 15 17 21 24 29 34 41 49 58 69 80 8 9 10 12 15 17 21 24 29 34 41 49 58 69 80
8 9 10 12 15 17 20 24 29 34 41 49 58 69 80 8 9 10 12 15 17 20 24 29 34 41 49 58 69 80 8 9 10 12 15 17 20 24 29 34 41 49 58 69 80 8 9 10 12 15 17 20 24 29 34 41 49 58 69 80 8 9 10 12 15 17 20 24 29 34 41 49 58 69 80
8 9 10 12 14 17 20 24 29 34 41 49 58 68 80 8 9 10 12 14 17 20 24 29 34 41 49 58 68 80 8 9 10 12 14 17 20 24 29 34 41 49 58 68 80 8 9 10 12 14 17 20 24 29 34 41 49 58 68 80 8 9 10 12 14 17 20 24 29 34 41 49 58 68 80
8 9 10 12 14 17 20 24 29 34 41 48 57 68 79 8 9 10 12 14 17 20 24 29 34 41 48 57 68 79 8 9 10 12 14 17 20 24 29 34 41 48 57 68 79 8 9 10 12 14 17 20 24 29 34 41 48 57 68 79 8 9 10 12 14 17 20 24 29 34 41 48 57 68 79
8 9 10 12 14 17 20 24 29 34 40 48 57 68 79 8 9 10 12 14 17 20 24 29 34 40 48 57 68 79 8 9 10 12 14 17 20 24 29 34 40 48 57 68 79 8 9 10 12 14 17 20 24 29 34 40 48 57 68 79 8 9 10 12 14 17 20 24 29 34 40 48 57 68 79
8 9 10 12 14 17 20 24 28 34 40 48 57 67 79 8 9 10 12 14 17 20 24 28 34 40 48 57 67 79 8 9 10 12 14 17 20 24 28 34 40 48 57 67 79 8 9 10 12 14 17 20 24 28 34 40 48 57 67 79 8 9 10 12 14 17 20 24 28 34 40 48 57 67 79
7 9 10 12 14 17 20 24 28 34 40 48 57 67 78 7 9 10 12 14 17 20 24 28 34 40 48 57 67 78 7 9 10 12 14 17 20 24 28 34 40 48 57 67 78 7 9 10 12 14 17 20 24 28 34 40 48 57 67 78 7 9 10 12 14 17 20 24 28 34 40 48 57 67 78
Reindex K' and B' Choices for each State at the Optimal w'=k'+b' choice
The K' and B' Optimal Choices Associated with EV opti dim(mt_ev_condi_z_max_kp): I by M
ar_add_grid = linspace(0, it_ak_perc_n*(it_w_interp_n-1), it_w_interp_n); mt_ev_condi_z_max_idx = mt_ev_condi_z_max_idx + ar_add_grid'; if(bl_display_evf) disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_max_idx: I by M'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_max_idx)); disp(head(array2table(mt_ev_condi_z_max_idx), 20)); disp(tail(array2table(mt_ev_condi_z_max_idx), 20)); end mt_ev_condi_z_max_kp = reshape(ar_k_mesha(mt_ev_condi_z_max_idx), [it_w_interp_n, it_z_n]); mt_ev_condi_z_max_bp = reshape(ar_a_meshk(mt_ev_condi_z_max_idx), [it_w_interp_n, it_z_n]); if(bl_display_evf) disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_max_kp: I by M'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_max_kp)); disp(head(array2table(mt_ev_condi_z_max_kp), 20)); disp(tail(array2table(mt_ev_condi_z_max_kp), 20)); disp('----------------------------------------'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('mt_ev_condi_z_max_bp: I by M'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(size(mt_ev_condi_z_max_bp)); disp(head(array2table(mt_ev_condi_z_max_bp), 20)); disp(tail(array2table(mt_ev_condi_z_max_bp), 20)); end
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mt_ev_condi_z_max_idx: I by M
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mt_ev_condi_z_max_idx1 mt_ev_condi_z_max_idx2 mt_ev_condi_z_max_idx3 mt_ev_condi_z_max_idx4 mt_ev_condi_z_max_idx5 mt_ev_condi_z_max_idx6 mt_ev_condi_z_max_idx7 mt_ev_condi_z_max_idx8 mt_ev_condi_z_max_idx9 mt_ev_condi_z_max_idx10 mt_ev_condi_z_max_idx11 mt_ev_condi_z_max_idx12 mt_ev_condi_z_max_idx13 mt_ev_condi_z_max_idx14 mt_ev_condi_z_max_idx15 mt_ev_condi_z_max_idx16 mt_ev_condi_z_max_idx17 mt_ev_condi_z_max_idx18 mt_ev_condi_z_max_idx19 mt_ev_condi_z_max_idx20 mt_ev_condi_z_max_idx21 mt_ev_condi_z_max_idx22 mt_ev_condi_z_max_idx23 mt_ev_condi_z_max_idx24 mt_ev_condi_z_max_idx25 mt_ev_condi_z_max_idx26 mt_ev_condi_z_max_idx27 mt_ev_condi_z_max_idx28 mt_ev_condi_z_max_idx29 mt_ev_condi_z_max_idx30 mt_ev_condi_z_max_idx31 mt_ev_condi_z_max_idx32 mt_ev_condi_z_max_idx33 mt_ev_condi_z_max_idx34 mt_ev_condi_z_max_idx35 mt_ev_condi_z_max_idx36 mt_ev_condi_z_max_idx37 mt_ev_condi_z_max_idx38 mt_ev_condi_z_max_idx39 mt_ev_condi_z_max_idx40 mt_ev_condi_z_max_idx41 mt_ev_condi_z_max_idx42 mt_ev_condi_z_max_idx43 mt_ev_condi_z_max_idx44 mt_ev_condi_z_max_idx45 mt_ev_condi_z_max_idx46 mt_ev_condi_z_max_idx47 mt_ev_condi_z_max_idx48 mt_ev_condi_z_max_idx49 mt_ev_condi_z_max_idx50 mt_ev_condi_z_max_idx51 mt_ev_condi_z_max_idx52 mt_ev_condi_z_max_idx53 mt_ev_condi_z_max_idx54 mt_ev_condi_z_max_idx55 mt_ev_condi_z_max_idx56 mt_ev_condi_z_max_idx57 mt_ev_condi_z_max_idx58 mt_ev_condi_z_max_idx59 mt_ev_condi_z_max_idx60 mt_ev_condi_z_max_idx61 mt_ev_condi_z_max_idx62 mt_ev_condi_z_max_idx63 mt_ev_condi_z_max_idx64 mt_ev_condi_z_max_idx65 mt_ev_condi_z_max_idx66 mt_ev_condi_z_max_idx67 mt_ev_condi_z_max_idx68 mt_ev_condi_z_max_idx69 mt_ev_condi_z_max_idx70 mt_ev_condi_z_max_idx71 mt_ev_condi_z_max_idx72 mt_ev_condi_z_max_idx73 mt_ev_condi_z_max_idx74 mt_ev_condi_z_max_idx75
______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________ _______________________
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500
750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750 750
1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1221 1245 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1221 1221 1222 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250
1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1458 1494 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1427 1451 1488 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1427 1427 1446 1483 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500
1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1715 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1674 1704 1742 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1648 1669 1701 1738 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1648 1648 1668 1700 1738 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750
1985 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 1935 1967 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 1900 1926 1959 1998 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 1877 1896 1923 1956 1995 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 1877 1877 1896 1924 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000
2206 2242 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2162 2191 2226 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2132 2155 2183 2218 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2111 2129 2152 2181 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2111 2111 2129 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250 2250
2434 2466 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2394 2420 2451 2490 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2367 2388 2414 2445 2482 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2349 2365 2386 2495 2495 2496 2500 2500 2500 2500 2500 2500 2500 2500 2500 2349 2349 2365 2495 2495 2495 2496 2500 2500 2500 2500 2500 2500 2500 2500
2666 2695 2731 2750 2750 2750 2750 2750 2750 2750 2750 2750 2750 2750 2750 2630 2653 2682 2716 2750 2750 2750 2750 2750 2750 2750 2750 2750 2750 2750 2606 2624 2648 2676 2709 2749 2750 2750 2750 2750 2750 2750 2750 2750 2750 2589 2603 2623 2721 2721 2721 2747 2750 2750 2750 2750 2750 2750 2750 2750 2589 2589 2604 2721 2721 2721 2721 2749 2750 2750 2750 2750 2750 2750 2750
2901 2927 2960 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 2869 2889 2915 2947 2985 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 2846 2863 2884 2910 2941 2977 3000 3000 3000 3000 3000 3000 3000 3000 3000 2831 2844 2862 2951 2951 2951 2975 3000 3000 3000 3000 3000 3000 3000 3000 2831 2831 2845 2951 2951 2951 2951 2977 3000 3000 3000 3000 3000 3000 3000
3138 3163 3193 3230 3250 3250 3250 3250 3250 3250 3250 3250 3250 3250 3250 3109 3128 3152 3181 3216 3250 3250 3250 3250 3250 3250 3250 3250 3250 3250 3088 3104 3123 3147 3175 3209 3249 3250 3250 3250 3250 3250 3250 3250 3250 3075 3087 3103 3184 3184 3185 3207 3246 3250 3250 3250 3250 3250 3250 3250 3074 3075 3087 3184 3184 3184 3185 3209 3250 3250 3250 3250 3250 3250 3250
3378 3400 3428 3463 3500 3500 3500 3500 3500 3500 3500 3500 3500 3500 3500 3351 3368 3390 3417 3449 3488 3500 3500 3500 3500 3500 3500 3500 3500 3500 3332 3346 3364 3386 3412 3443 3480 3500 3500 3500 3500 3500 3500 3500 3500 3319 3330 3345 3420 3420 3420 3441 3500 3500 3500 3500 3500 3500 3500 3500 3319 3319 3331 3420 3420 3420 3420 3500 3500 3500 3500 3500 3500 3500 3500
3619 3640 3666 3698 3736 3750 3750 3750 3750 3750 3750 3750 3750 3750 3750 3593 3610 3631 3655 3685 3721 3750 3750 3750 3750 3750 3750 3750 3750 3750 3576 3589 3606 3626 3651 3679 3714 3750 3750 3750 3750 3750 3750 3750 3750 3564 3574 3588 3658 3658 3658 3678 3750 3750 3750 3750 3750 3750 3750 3750 3564 3564 3575 3658 3658 3658 3658 3750 3750 3750 3750 3750 3750 3750 3750
3861 3880 3905 3935 3970 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 3837 3853 3872 3895 3923 3956 3996 4000 4000 4000 4000 4000 4000 4000 4000 3821 3834 3849 3868 3891 3918 3950 3988 4000 4000 4000 4000 4000 4000 4000 3810 3820 3833 3897 3898 3898 3916 3986 3986 4000 4000 4000 4000 4000 4000 3810 3810 3820 3897 3897 3898 3898 3986 3986 3989 4000 4000 4000 4000 4000
4104 4122 4145 4173 4207 4246 4250 4250 4250 4250 4250 4250 4250 4250 4250 4082 4096 4114 4136 4163 4194 4231 4250 4250 4250 4250 4250 4250 4250 4250 4067 4078 4093 4111 4132 4157 4188 4224 4250 4250 4250 4250 4250 4250 4250 4056 4065 4078 4138 4138 4139 4156 4221 4222 4250 4250 4250 4250 4250 4250 4056 4056 4066 4138 4138 4138 4221 4221 4221 4224 4250 4250 4250 4250 4250
4348 4365 4387 4413 4445 4482 4500 4500 4500 4500 4500 4500 4500 4500 4500 4327 4341 4358 4378 4403 4433 4468 4500 4500 4500 4500 4500 4500 4500 4500 4313 4324 4338 4354 4374 4398 4427 4461 4500 4500 4500 4500 4500 4500 4500 4303 4312 4323 4380 4380 4381 4397 4458 4459 4499 4500 4500 4500 4500 4500 4303 4303 4312 4380 4380 4380 4458 4458 4458 4461 4500 4500 4500 4500 4500
4593 4609 4629 4654 4684 4719 4750 4750 4750 4750 4750 4750 4750 4750 4750 4573 4586 4602 4621 4645 4673 4706 4745 4750 4750 4750 4750 4750 4750 4750 4559 4570 4583 4599 4618 4640 4667 4699 4737 4750 4750 4750 4750 4750 4750 4550 4558 4569 4623 4623 4623 4639 4697 4698 4735 4750 4750 4750 4750 4750 4550 4550 4559 4623 4623 4623 4696 4696 4697 4750 4750 4750 4750 4750 4750
4838 4853 4873 4896 4924 4958 4998 5000 5000 5000 5000 5000 5000 5000 5000 4819 4831 4847 4865 4887 4914 4945 4983 5000 5000 5000 5000 5000 5000 5000 4806 4816 4829 4844 4862 4883 4909 4939 4975 5000 5000 5000 5000 5000 5000 4798 4805 4816 4866 4867 4867 4882 4936 4937 5000 5000 5000 5000 5000 5000 4797 4798 4806 4866 4867 4867 4936 4936 4936 5000 5000 5000 5000 5000 5000
mt_ev_condi_z_max_idx1 mt_ev_condi_z_max_idx2 mt_ev_condi_z_max_idx3 mt_ev_condi_z_max_idx4 mt_ev_condi_z_max_idx5 mt_ev_condi_z_max_idx6 mt_ev_condi_z_max_idx7 mt_ev_condi_z_max_idx8 mt_ev_condi_z_max_idx9 mt_ev_condi_z_max_idx10 mt_ev_condi_z_max_idx11 mt_ev_condi_z_max_idx12 mt_ev_condi_z_max_idx13 mt_ev_condi_z_max_idx14 mt_ev_condi_z_max_idx15 mt_ev_condi_z_max_idx16 mt_ev_condi_z_max_idx17 mt_ev_condi_z_max_idx18 mt_ev_condi_z_max_idx19 mt_ev_condi_z_max_idx20 mt_ev_condi_z_max_idx21 mt_ev_condi_z_max_idx22 mt_ev_condi_z_max_idx23 mt_ev_condi_z_max_idx24 mt_ev_condi_z_max_idx25 mt_ev_condi_z_max_idx26 mt_ev_condi_z_max_idx27 mt_ev_condi_z_max_idx28 mt_ev_condi_z_max_idx29 mt_ev_condi_z_max_idx30 mt_ev_condi_z_max_idx31 mt_ev_condi_z_max_idx32 mt_ev_condi_z_max_idx33 mt_ev_condi_z_max_idx34 mt_ev_condi_z_max_idx35 mt_ev_condi_z_max_idx36 mt_ev_condi_z_max_idx37 mt_ev_condi_z_max_idx38 mt_ev_condi_z_max_idx39 mt_ev_condi_z_max_idx40 mt_ev_condi_z_max_idx41 mt_ev_condi_z_max_idx42 mt_ev_condi_z_max_idx43 mt_ev_condi_z_max_idx44 mt_ev_condi_z_max_idx45 mt_ev_condi_z_max_idx46 mt_ev_condi_z_max_idx47 mt_ev_condi_z_max_idx48 mt_ev_condi_z_max_idx49 mt_ev_condi_z_max_idx50 mt_ev_condi_z_max_idx51 mt_ev_condi_z_max_idx52 mt_ev_condi_z_max_idx53 mt_ev_condi_z_max_idx54 mt_ev_condi_z_max_idx55 mt_ev_condi_z_max_idx56 mt_ev_condi_z_max_idx57 mt_ev_condi_z_max_idx58 mt_ev_condi_z_max_idx59 mt_ev_condi_z_max_idx60 mt_ev_condi_z_max_idx61 mt_ev_condi_z_max_idx62 mt_ev_condi_z_max_idx63 mt_ev_condi_z_max_idx64 mt_ev_condi_z_max_idx65 mt_ev_condi_z_max_idx66 mt_ev_condi_z_max_idx67 mt_ev_condi_z_max_idx68 mt_ev_condi_z_max_idx69 mt_ev_condi_z_max_idx70 mt_ev_condi_z_max_idx71 mt_ev_condi_z_max_idx72 mt_ev_condi_z_max_idx73 mt_ev_condi_z_max_idx74 mt_ev_condi_z_max_idx75
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mt_ev_condi_z_max_kp: I by M
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mt_ev_condi_z_max_kp1 mt_ev_condi_z_max_kp2 mt_ev_condi_z_max_kp3 mt_ev_condi_z_max_kp4 mt_ev_condi_z_max_kp5 mt_ev_condi_z_max_kp6 mt_ev_condi_z_max_kp7 mt_ev_condi_z_max_kp8 mt_ev_condi_z_max_kp9 mt_ev_condi_z_max_kp10 mt_ev_condi_z_max_kp11 mt_ev_condi_z_max_kp12 mt_ev_condi_z_max_kp13 mt_ev_condi_z_max_kp14 mt_ev_condi_z_max_kp15 mt_ev_condi_z_max_kp16 mt_ev_condi_z_max_kp17 mt_ev_condi_z_max_kp18 mt_ev_condi_z_max_kp19 mt_ev_condi_z_max_kp20 mt_ev_condi_z_max_kp21 mt_ev_condi_z_max_kp22 mt_ev_condi_z_max_kp23 mt_ev_condi_z_max_kp24 mt_ev_condi_z_max_kp25 mt_ev_condi_z_max_kp26 mt_ev_condi_z_max_kp27 mt_ev_condi_z_max_kp28 mt_ev_condi_z_max_kp29 mt_ev_condi_z_max_kp30 mt_ev_condi_z_max_kp31 mt_ev_condi_z_max_kp32 mt_ev_condi_z_max_kp33 mt_ev_condi_z_max_kp34 mt_ev_condi_z_max_kp35 mt_ev_condi_z_max_kp36 mt_ev_condi_z_max_kp37 mt_ev_condi_z_max_kp38 mt_ev_condi_z_max_kp39 mt_ev_condi_z_max_kp40 mt_ev_condi_z_max_kp41 mt_ev_condi_z_max_kp42 mt_ev_condi_z_max_kp43 mt_ev_condi_z_max_kp44 mt_ev_condi_z_max_kp45 mt_ev_condi_z_max_kp46 mt_ev_condi_z_max_kp47 mt_ev_condi_z_max_kp48 mt_ev_condi_z_max_kp49 mt_ev_condi_z_max_kp50 mt_ev_condi_z_max_kp51 mt_ev_condi_z_max_kp52 mt_ev_condi_z_max_kp53 mt_ev_condi_z_max_kp54 mt_ev_condi_z_max_kp55 mt_ev_condi_z_max_kp56 mt_ev_condi_z_max_kp57 mt_ev_condi_z_max_kp58 mt_ev_condi_z_max_kp59 mt_ev_condi_z_max_kp60 mt_ev_condi_z_max_kp61 mt_ev_condi_z_max_kp62 mt_ev_condi_z_max_kp63 mt_ev_condi_z_max_kp64 mt_ev_condi_z_max_kp65 mt_ev_condi_z_max_kp66 mt_ev_condi_z_max_kp67 mt_ev_condi_z_max_kp68 mt_ev_condi_z_max_kp69 mt_ev_condi_z_max_kp70 mt_ev_condi_z_max_kp71 mt_ev_condi_z_max_kp72 mt_ev_condi_z_max_kp73 mt_ev_condi_z_max_kp74 mt_ev_condi_z_max_kp75
_____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312 0.28312
0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623 0.56623
0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935 0.84935
1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.0007 1.1098 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.0007 1.0007 1.0053 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325 1.1325
1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.1771 1.3815 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.001 1.1373 1.3474 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.001 1.001 1.1089 1.319 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156 1.4156
1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.4602 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.1807 1.3852 1.6442 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.0035 1.1467 1.3648 1.6169 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.0035 1.0035 1.1399 1.3579 1.6169 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987 1.6987
1.8626 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.465 1.7194 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.1867 1.3934 1.6558 1.9659 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.0038 1.1549 1.3696 1.632 1.9421 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.0038 1.0038 1.1549 1.3775 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818 1.9818
1.8651 2.1922 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 1.4653 1.7288 2.0469 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 1.1927 1.4017 1.6561 1.9742 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 1.0018 1.1654 1.3744 1.6379 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 1.0018 1.0018 1.1654 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649 2.2649
1.8733 2.2005 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 1.4644 1.7302 2.0471 2.4458 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 1.1884 1.4031 1.6689 1.9858 2.364 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 1.0044 1.168 1.3826 2.4969 2.4969 2.5072 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 1.0044 1.0044 1.168 2.4969 2.4969 2.4969 2.5072 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481 2.5481
1.877 2.2064 2.6154 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 1.4681 1.7294 2.0588 2.445 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 1.1955 1.4 1.6726 1.9906 2.3655 2.8198 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 1.0024 1.1614 1.3886 2.5018 2.5018 2.5018 2.7971 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 1.0024 1.0024 1.1728 2.5018 2.5018 2.5018 2.5018 2.8198 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312 2.8312
1.8773 2.2022 2.6145 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 1.4775 1.7274 2.0522 2.4521 2.9269 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 1.1901 1.4025 1.6649 1.9898 2.3771 2.8269 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 1.0027 1.1651 1.39 2.5021 2.5021 2.5021 2.8019 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 1.0027 1.0027 1.1776 2.5021 2.5021 2.5021 2.5021 2.8269 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143 3.1143
1.8708 2.2116 2.6205 3.1248 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 1.4755 1.7345 2.0616 2.4569 2.934 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 1.1893 1.4073 1.6663 1.9935 2.3751 2.8386 3.3838 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 1.0121 1.1756 1.3937 2.4978 2.4978 2.5114 2.8113 3.3429 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 0.99843 1.0121 1.1756 2.4978 2.4978 2.4978 2.5114 2.8386 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974 3.3974
1.879 2.2039 2.6173 3.1342 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 1.4803 1.7314 2.0562 2.4549 2.9274 3.5033 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 1.1998 1.4065 1.6723 1.9972 2.3811 2.8388 3.3852 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 1.0078 1.1702 1.3917 2.4992 2.4992 2.4992 2.8093 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 1.0078 1.0078 1.185 2.4992 2.4992 2.4992 2.4992 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805 3.6805
1.8804 2.2144 2.6278 3.1367 3.741 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 1.467 1.7373 2.0713 2.4529 2.93 3.5025 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 1.1966 1.4034 1.6737 1.9918 2.3893 2.8346 3.3912 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 1.0058 1.1648 1.3875 2.5006 2.5006 2.5006 2.8187 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 1.0058 1.0058 1.1807 2.5006 2.5006 2.5006 2.5006 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636 3.9636
1.8785 2.2022 2.6281 3.1393 3.7356 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 1.4695 1.7421 2.0659 2.4578 2.9348 3.4971 4.1786 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 1.1969 1.4184 1.674 1.9977 2.3896 2.8496 3.3949 4.0423 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 1.0095 1.1799 1.4014 2.4918 2.5089 2.5089 2.8156 4.0082 4.0082 4.2468 4.2468 4.2468 4.2468 4.2468 4.2468 1.0095 1.0095 1.1799 2.4918 2.4918 2.5089 2.5089 4.0082 4.0082 4.0593 4.2468 4.2468 4.2468 4.2468 4.2468
1.8765 2.2036 2.6216 3.1305 3.7484 4.4572 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 1.4766 1.7311 2.0582 2.458 2.9487 3.5121 4.1846 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 1.204 1.4039 1.6765 2.0037 2.3853 2.8397 3.4031 4.0574 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 1.0041 1.1677 1.4039 2.4944 2.4944 2.5126 2.8215 4.0028 4.021 4.5299 4.5299 4.5299 4.5299 4.5299 4.5299 1.0041 1.0041 1.1858 2.4944 2.4944 2.4944 4.0028 4.0028 4.0028 4.0574 4.5299 4.5299 4.5299 4.5299 4.5299
1.8779 2.2062 2.631 3.133 3.7509 4.4654 4.813 4.813 4.813 4.813 4.813 4.813 4.813 4.813 4.813 1.4724 1.7427 2.071 2.4572 2.9399 3.5192 4.1951 4.813 4.813 4.813 4.813 4.813 4.813 4.813 4.813 1.202 1.4144 1.6848 1.9937 2.3799 2.8434 3.4034 4.0599 4.813 4.813 4.813 4.813 4.813 4.813 4.813 1.0089 1.1827 1.3951 2.4958 2.4958 2.5151 2.8241 4.002 4.0213 4.7937 4.813 4.813 4.813 4.813 4.813 1.0089 1.0089 1.1827 2.4958 2.4958 2.4958 4.002 4.002 4.002 4.0599 4.813 4.813 4.813 4.813 4.813
1.8861 2.2133 2.6222 3.1333 3.7467 4.4623 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 1.4772 1.743 2.0701 2.4586 2.9493 3.5218 4.1965 4.9939 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 1.191 1.4159 1.6817 2.0088 2.3973 2.8471 3.3991 4.0534 4.8303 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961 1.0069 1.1705 1.3954 2.4995 2.4995 2.4995 2.8266 4.0125 4.0329 4.7894 5.0961 5.0961 5.0961 5.0961 5.0961 1.0069 1.0069 1.191 2.4995 2.4995 2.4995 3.992 3.992 4.0125 5.0961 5.0961 5.0961 5.0961 5.0961 5.0961
1.883 2.2067 2.6384 3.1347 3.739 4.4728 5.3361 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 1.4729 1.7319 2.0772 2.4657 2.9405 3.5232 4.1922 5.0123 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 1.1924 1.4082 1.6888 2.0125 2.401 2.8542 3.4153 4.0627 4.8397 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 1.0197 1.1708 1.4082 2.4873 2.5089 2.5089 2.8326 3.998 4.0196 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792 0.99814 1.0197 1.1924 2.4873 2.5089 2.5089 3.998 3.998 3.998 5.3792 5.3792 5.3792 5.3792 5.3792 5.3792
mt_ev_condi_z_max_kp1 mt_ev_condi_z_max_kp2 mt_ev_condi_z_max_kp3 mt_ev_condi_z_max_kp4 mt_ev_condi_z_max_kp5 mt_ev_condi_z_max_kp6 mt_ev_condi_z_max_kp7 mt_ev_condi_z_max_kp8 mt_ev_condi_z_max_kp9 mt_ev_condi_z_max_kp10 mt_ev_condi_z_max_kp11 mt_ev_condi_z_max_kp12 mt_ev_condi_z_max_kp13 mt_ev_condi_z_max_kp14 mt_ev_condi_z_max_kp15 mt_ev_condi_z_max_kp16 mt_ev_condi_z_max_kp17 mt_ev_condi_z_max_kp18 mt_ev_condi_z_max_kp19 mt_ev_condi_z_max_kp20 mt_ev_condi_z_max_kp21 mt_ev_condi_z_max_kp22 mt_ev_condi_z_max_kp23 mt_ev_condi_z_max_kp24 mt_ev_condi_z_max_kp25 mt_ev_condi_z_max_kp26 mt_ev_condi_z_max_kp27 mt_ev_condi_z_max_kp28 mt_ev_condi_z_max_kp29 mt_ev_condi_z_max_kp30 mt_ev_condi_z_max_kp31 mt_ev_condi_z_max_kp32 mt_ev_condi_z_max_kp33 mt_ev_condi_z_max_kp34 mt_ev_condi_z_max_kp35 mt_ev_condi_z_max_kp36 mt_ev_condi_z_max_kp37 mt_ev_condi_z_max_kp38 mt_ev_condi_z_max_kp39 mt_ev_condi_z_max_kp40 mt_ev_condi_z_max_kp41 mt_ev_condi_z_max_kp42 mt_ev_condi_z_max_kp43 mt_ev_condi_z_max_kp44 mt_ev_condi_z_max_kp45 mt_ev_condi_z_max_kp46 mt_ev_condi_z_max_kp47 mt_ev_condi_z_max_kp48 mt_ev_condi_z_max_kp49 mt_ev_condi_z_max_kp50 mt_ev_condi_z_max_kp51 mt_ev_condi_z_max_kp52 mt_ev_condi_z_max_kp53 mt_ev_condi_z_max_kp54 mt_ev_condi_z_max_kp55 mt_ev_condi_z_max_kp56 mt_ev_condi_z_max_kp57 mt_ev_condi_z_max_kp58 mt_ev_condi_z_max_kp59 mt_ev_condi_z_max_kp60 mt_ev_condi_z_max_kp61 mt_ev_condi_z_max_kp62 mt_ev_condi_z_max_kp63 mt_ev_condi_z_max_kp64 mt_ev_condi_z_max_kp65 mt_ev_condi_z_max_kp66 mt_ev_condi_z_max_kp67 mt_ev_condi_z_max_kp68 mt_ev_condi_z_max_kp69 mt_ev_condi_z_max_kp70 mt_ev_condi_z_max_kp71 mt_ev_condi_z_max_kp72 mt_ev_condi_z_max_kp73 mt_ev_condi_z_max_kp74 mt_ev_condi_z_max_kp75
_____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________
1.8775 2.1365 2.6544 3.1724 3.6903 4.4673 5.5032 6.5391 7.834 9.1289 10.942 13.273 15.603 18.711 21.819 1.8775 2.1365 2.6544 3.1724 3.6903 4.4673 5.5032 6.5391 7.834 9.1289 10.942 13.273 15.603 18.711 21.819 1.8775 2.1365 2.6544 3.1724 3.6903 4.4673 5.5032 6.5391 7.834 9.1289 10.942 13.273 15.603 18.711 21.819 1.8775 2.1365 2.6544 3.1724 3.6903 4.4673 5.5032 6.5391 7.834 9.1289 10.942 13.273 15.603 18.711 21.819 1.8775 2.1365 2.6544 3.1724 3.6903 4.4673 5.5032 6.5391 7.834 9.1289 10.942 13.273 15.603 18.711 21.819
1.8857 2.1458 2.6661 3.1863 3.7065 4.4869 5.5273 6.5678 7.6083 9.169 10.99 13.071 15.672 18.533 21.915 1.8857 2.1458 2.6661 3.1863 3.7065 4.4869 5.5273 6.5678 7.6083 9.169 10.99 13.071 15.672 18.533 21.915 1.8857 2.1458 2.6661 3.1863 3.7065 4.4869 5.5273 6.5678 7.6083 9.169 10.99 13.071 15.672 18.533 21.915 1.8857 2.1458 2.6661 3.1863 3.7065 4.4869 5.5273 6.5678 7.6083 9.169 10.99 13.071 15.672 18.533 21.915 1.8857 2.1458 2.6661 3.1863 3.7065 4.4869 5.5273 6.5678 7.6083 9.169 10.99 13.071 15.672 18.533 21.915
1.8939 2.1552 2.6777 3.2002 3.7227 4.5065 5.2902 6.5965 7.6415 9.209 11.038 13.128 15.74 18.614 21.749 1.8939 2.1552 2.6777 3.2002 3.7227 4.5065 5.2902 6.5965 7.6415 9.209 11.038 13.128 15.74 18.614 21.749 1.8939 2.1552 2.6777 3.2002 3.7227 4.5065 5.2902 6.5965 7.6415 9.209 11.038 13.128 15.74 18.614 21.749 1.8939 2.1552 2.6777 3.2002 3.7227 4.5065 5.2902 6.5965 7.6415 9.209 11.038 13.128 15.74 18.614 21.749 1.8939 2.1552 2.6777 3.2002 3.7227 4.5065 5.2902 6.5965 7.6415 9.209 11.038 13.128 15.74 18.614 21.749
1.9022 2.1646 2.6893 3.2141 3.7389 4.5261 5.3132 6.3628 7.6747 9.2491 11.086 13.185 15.809 18.695 21.844 1.9022 2.1646 2.6893 3.2141 3.7389 4.5261 5.3132 6.3628 7.6747 9.2491 11.086 13.185 15.809 18.695 21.844 1.9022 2.1646 2.6893 3.2141 3.7389 4.5261 5.3132 6.3628 7.6747 9.2491 11.086 13.185 15.809 18.695 21.844 1.9022 2.1646 2.6893 3.2141 3.7389 4.5261 5.3132 6.3628 7.6747 9.2491 11.086 13.185 15.809 18.695 21.844 1.9022 2.1646 2.6893 3.2141 3.7389 4.5261 5.3132 6.3628 7.6747 9.2491 11.086 13.185 15.809 18.695 21.844
1.9104 2.1739 2.701 3.228 3.7551 4.5457 5.3362 6.3903 7.7079 9.2891 11.134 13.242 15.614 18.512 21.675 1.9104 2.1739 2.701 3.228 3.7551 4.5457 5.3362 6.3903 7.7079 9.2891 11.134 13.242 15.614 18.512 21.675 1.9104 2.1739 2.701 3.228 3.7551 4.5457 5.3362 6.3903 7.7079 9.2891 11.134 13.242 15.614 18.512 21.675 1.9104 2.1739 2.701 3.228 3.7551 4.5457 5.3362 6.3903 7.7079 9.2891 11.134 13.242 15.614 18.512 21.675 1.9104 2.1739 2.701 3.228 3.7551 4.5457 5.3362 6.3903 7.7079 9.2891 11.134 13.242 15.614 18.512 21.675
1.9187 2.1833 2.7126 3.242 3.7713 4.5653 5.3592 6.4179 7.7412 9.3291 10.917 13.299 15.681 18.592 21.768 1.9187 2.1833 2.7126 3.242 3.7713 4.5653 5.3592 6.4179 7.7412 9.3291 10.917 13.299 15.681 18.592 21.768 1.9187 2.1833 2.7126 3.242 3.7713 4.5653 5.3592 6.4179 7.7412 9.3291 10.917 13.299 15.681 18.592 21.768 1.9187 2.1833 2.7126 3.242 3.7713 4.5653 5.3592 6.4179 7.7412 9.3291 10.917 13.299 15.681 18.592 21.768 1.9187 2.1833 2.7126 3.242 3.7713 4.5653 5.3592 6.4179 7.7412 9.3291 10.917 13.299 15.681 18.592 21.768
1.9269 2.1927 2.7243 3.2559 3.7875 4.5848 5.3822 6.4454 7.7744 9.1034 10.964 13.09 15.748 18.672 21.862 1.9269 2.1927 2.7243 3.2559 3.7875 4.5848 5.3822 6.4454 7.7744 9.1034 10.964 13.09 15.748 18.672 21.862 1.9269 2.1927 2.7243 3.2559 3.7875 4.5848 5.3822 6.4454 7.7744 9.1034 10.964 13.09 15.748 18.672 21.862 1.9269 2.1927 2.7243 3.2559 3.7875 4.5848 5.3822 6.4454 7.7744 9.1034 10.964 13.09 15.748 18.672 21.862 1.9269 2.1927 2.7243 3.2559 3.7875 4.5848 5.3822 6.4454 7.7744 9.1034 10.964 13.09 15.748 18.672 21.862
1.9351 2.2021 2.7359 3.2698 3.8036 4.6044 5.4052 6.473 7.8076 9.1423 11.011 13.146 15.816 18.752 21.688 1.9351 2.2021 2.7359 3.2698 3.8036 4.6044 5.4052 6.473 7.8076 9.1423 11.011 13.146 15.816 18.752 21.688 1.9351 2.2021 2.7359 3.2698 3.8036 4.6044 5.4052 6.473 7.8076 9.1423 11.011 13.146 15.816 18.752 21.688 1.9351 2.2021 2.7359 3.2698 3.8036 4.6044 5.4052 6.473 7.8076 9.1423 11.011 13.146 15.816 18.752 21.688 1.9351 2.2021 2.7359 3.2698 3.8036 4.6044 5.4052 6.473 7.8076 9.1423 11.011 13.146 15.816 18.752 21.688
1.9434 2.2114 2.7476 3.2837 3.8198 4.624 5.4282 6.5005 7.8408 9.1812 11.058 13.202 15.615 18.564 21.78 1.9434 2.2114 2.7476 3.2837 3.8198 4.624 5.4282 6.5005 7.8408 9.1812 11.058 13.202 15.615 18.564 21.78 1.9434 2.2114 2.7476 3.2837 3.8198 4.624 5.4282 6.5005 7.8408 9.1812 11.058 13.202 15.615 18.564 21.78 1.9434 2.2114 2.7476 3.2837 3.8198 4.624 5.4282 6.5005 7.8408 9.1812 11.058 13.202 15.615 18.564 21.78 1.9434 2.2114 2.7476 3.2837 3.8198 4.624 5.4282 6.5005 7.8408 9.1812 11.058 13.202 15.615 18.564 21.78
1.9516 2.2208 2.7592 3.2976 3.836 4.6436 5.4512 6.528 7.6049 9.2201 11.105 13.258 15.681 18.642 21.873 1.9516 2.2208 2.7592 3.2976 3.836 4.6436 5.4512 6.528 7.6049 9.2201 11.105 13.258 15.681 18.642 21.873 1.9516 2.2208 2.7592 3.2976 3.836 4.6436 5.4512 6.528 7.6049 9.2201 11.105 13.258 15.681 18.642 21.873 1.9516 2.2208 2.7592 3.2976 3.836 4.6436 5.4512 6.528 7.6049 9.2201 11.105 13.258 15.681 18.642 21.873 1.9516 2.2208 2.7592 3.2976 3.836 4.6436 5.4512 6.528 7.6049 9.2201 11.105 13.258 15.681 18.642 21.873
1.9598 2.2302 2.7708 3.0412 3.8522 4.3929 5.4742 6.5556 7.637 9.259 11.151 13.314 15.747 18.721 21.695 1.9598 2.2302 2.7708 3.0412 3.8522 4.3929 5.4742 6.5556 7.637 9.259 11.151 13.314 15.747 18.721 21.695 1.9598 2.2302 2.7708 3.0412 3.8522 4.3929 5.4742 6.5556 7.637 9.259 11.151 13.314 15.747 18.721 21.695 1.9598 2.2302 2.7708 3.0412 3.8522 4.3929 5.4742 6.5556 7.637 9.259 11.151 13.314 15.747 18.721 21.695 1.9598 2.2302 2.7708 3.0412 3.8522 4.3929 5.4742 6.5556 7.637 9.259 11.151 13.314 15.747 18.721 21.695
1.9681 2.2395 2.7825 3.054 3.8684 4.4113 5.4972 6.5831 7.669 9.2979 10.927 13.099 15.813 18.528 21.786 1.9681 2.2395 2.7825 3.054 3.8684 4.4113 5.4972 6.5831 7.669 9.2979 10.927 13.099 15.813 18.528 21.786 1.9681 2.2395 2.7825 3.054 3.8684 4.4113 5.4972 6.5831 7.669 9.2979 10.927 13.099 15.813 18.528 21.786 1.9681 2.2395 2.7825 3.054 3.8684 4.4113 5.4972 6.5831 7.669 9.2979 10.927 13.099 15.813 18.528 21.786 1.9681 2.2395 2.7825 3.054 3.8684 4.4113 5.4972 6.5831 7.669 9.2979 10.927 13.099 15.813 18.528 21.786
1.9763 2.2489 2.5215 3.0667 3.8846 4.4298 5.5202 6.3381 7.7011 9.3368 10.972 13.153 15.607 18.606 21.877 1.9763 2.2489 2.5215 3.0667 3.8846 4.4298 5.5202 6.3381 7.7011 9.3368 10.972 13.153 15.607 18.606 21.877 1.9763 2.2489 2.5215 3.0667 3.8846 4.4298 5.5202 6.3381 7.7011 9.3368 10.972 13.153 15.607 18.606 21.877 1.9763 2.2489 2.5215 3.0667 3.8846 4.4298 5.5202 6.3381 7.7011 9.3368 10.972 13.153 15.607 18.606 21.877 1.9763 2.2489 2.5215 3.0667 3.8846 4.4298 5.5202 6.3381 7.7011 9.3368 10.972 13.153 15.607 18.606 21.877
1.9845 2.2583 2.532 3.0795 3.9008 4.4483 5.5432 6.3645 7.7332 9.1019 11.018 13.208 15.672 18.683 21.694 1.9845 2.2583 2.532 3.0795 3.9008 4.4483 5.5432 6.3645 7.7332 9.1019 11.018 13.208 15.672 18.683 21.694 1.9845 2.2583 2.532 3.0795 3.9008 4.4483 5.5432 6.3645 7.7332 9.1019 11.018 13.208 15.672 18.683 21.694 1.9845 2.2583 2.532 3.0795 3.9008 4.4483 5.5432 6.3645 7.7332 9.1019 11.018 13.208 15.672 18.683 21.694 1.9845 2.2583 2.532 3.0795 3.9008 4.4483 5.5432 6.3645 7.7332 9.1019 11.018 13.208 15.672 18.683 21.694
1.9928 2.2676 2.5425 3.0923 3.9169 4.4667 5.2914 6.3909 7.7653 9.1397 11.064 13.263 15.737 18.761 21.784 1.9928 2.2676 2.5425 3.0923 3.9169 4.4667 5.2914 6.3909 7.7653 9.1397 11.064 13.263 15.737 18.761 21.784 1.9928 2.2676 2.5425 3.0923 3.9169 4.4667 5.2914 6.3909 7.7653 9.1397 11.064 13.263 15.737 18.761 21.784 1.9928 2.2676 2.5425 3.0923 3.9169 4.4667 5.2914 6.3909 7.7653 9.1397 11.064 13.263 15.737 18.761 21.784 1.9928 2.2676 2.5425 3.0923 3.9169 4.4667 5.2914 6.3909 7.7653 9.1397 11.064 13.263 15.737 18.761 21.784
2.001 2.277 2.553 3.1051 3.6571 4.4852 5.3132 6.4173 7.7974 9.1775 11.11 13.318 15.802 18.562 21.874 2.001 2.277 2.553 3.1051 3.6571 4.4852 5.3132 6.4173 7.7974 9.1775 11.11 13.318 15.802 18.562 21.874 2.001 2.277 2.553 3.1051 3.6571 4.4852 5.3132 6.4173 7.7974 9.1775 11.11 13.318 15.802 18.562 21.874 2.001 2.277 2.553 3.1051 3.6571 4.4852 5.3132 6.4173 7.7974 9.1775 11.11 13.318 15.802 18.562 21.874 2.001 2.277 2.553 3.1051 3.6571 4.4852 5.3132 6.4173 7.7974 9.1775 11.11 13.318 15.802 18.562 21.874
2.0092 2.2864 2.5635 3.1179 3.6722 4.5036 5.3351 6.4437 7.8295 9.2153 11.155 13.095 15.59 18.639 21.687 2.0092 2.2864 2.5635 3.1179 3.6722 4.5036 5.3351 6.4437 7.8295 9.2153 11.155 13.095 15.59 18.639 21.687 2.0092 2.2864 2.5635 3.1179 3.6722 4.5036 5.3351 6.4437 7.8295 9.2153 11.155 13.095 15.59 18.639 21.687 2.0092 2.2864 2.5635 3.1179 3.6722 4.5036 5.3351 6.4437 7.8295 9.2153 11.155 13.095 15.59 18.639 21.687 2.0092 2.2864 2.5635 3.1179 3.6722 4.5036 5.3351 6.4437 7.8295 9.2153 11.155 13.095 15.59 18.639 21.687
2.0175 2.2958 2.574 3.1306 3.6872 4.5221 5.357 6.4701 7.8616 9.253 10.923 13.149 15.654 18.715 21.776 2.0175 2.2958 2.574 3.1306 3.6872 4.5221 5.357 6.4701 7.8616 9.253 10.923 13.149 15.654 18.715 21.776 2.0175 2.2958 2.574 3.1306 3.6872 4.5221 5.357 6.4701 7.8616 9.253 10.923 13.149 15.654 18.715 21.776 2.0175 2.2958 2.574 3.1306 3.6872 4.5221 5.357 6.4701 7.8616 9.253 10.923 13.149 15.654 18.715 21.776 2.0175 2.2958 2.574 3.1306 3.6872 4.5221 5.357 6.4701 7.8616 9.253 10.923 13.149 15.654 18.715 21.776
2.0257 2.3051 2.5846 3.1434 3.7023 4.5405 5.3788 6.4965 7.6142 9.2908 10.967 13.203 15.718 18.512 21.865 2.0257 2.3051 2.5846 3.1434 3.7023 4.5405 5.3788 6.4965 7.6142 9.2908 10.967 13.203 15.718 18.512 21.865 2.0257 2.3051 2.5846 3.1434 3.7023 4.5405 5.3788 6.4965 7.6142 9.2908 10.967 13.203 15.718 18.512 21.865 2.0257 2.3051 2.5846 3.1434 3.7023 4.5405 5.3788 6.4965 7.6142 9.2908 10.967 13.203 15.718 18.512 21.865 2.0257 2.3051 2.5846 3.1434 3.7023 4.5405 5.3788 6.4965 7.6142 9.2908 10.967 13.203 15.718 18.512 21.865
1.7534 2.3145 2.5951 3.1562 3.7173 4.559 5.4007 6.5229 7.6452 9.3286 11.012 13.256 15.781 18.587 21.673 1.7534 2.3145 2.5951 3.1562 3.7173 4.559 5.4007 6.5229 7.6452 9.3286 11.012 13.256 15.781 18.587 21.673 1.7534 2.3145 2.5951 3.1562 3.7173 4.559 5.4007 6.5229 7.6452 9.3286 11.012 13.256 15.781 18.587 21.673 1.7534 2.3145 2.5951 3.1562 3.7173 4.559 5.4007 6.5229 7.6452 9.3286 11.012 13.256 15.781 18.587 21.673 1.7534 2.3145 2.5951 3.1562 3.7173 4.559 5.4007 6.5229 7.6452 9.3286 11.012 13.256 15.781 18.587 21.673
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mt_ev_condi_z_max_bp: I by M
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mt_ev_condi_z_max_bp1 mt_ev_condi_z_max_bp2 mt_ev_condi_z_max_bp3 mt_ev_condi_z_max_bp4 mt_ev_condi_z_max_bp5 mt_ev_condi_z_max_bp6 mt_ev_condi_z_max_bp7 mt_ev_condi_z_max_bp8 mt_ev_condi_z_max_bp9 mt_ev_condi_z_max_bp10 mt_ev_condi_z_max_bp11 mt_ev_condi_z_max_bp12 mt_ev_condi_z_max_bp13 mt_ev_condi_z_max_bp14 mt_ev_condi_z_max_bp15 mt_ev_condi_z_max_bp16 mt_ev_condi_z_max_bp17 mt_ev_condi_z_max_bp18 mt_ev_condi_z_max_bp19 mt_ev_condi_z_max_bp20 mt_ev_condi_z_max_bp21 mt_ev_condi_z_max_bp22 mt_ev_condi_z_max_bp23 mt_ev_condi_z_max_bp24 mt_ev_condi_z_max_bp25 mt_ev_condi_z_max_bp26 mt_ev_condi_z_max_bp27 mt_ev_condi_z_max_bp28 mt_ev_condi_z_max_bp29 mt_ev_condi_z_max_bp30 mt_ev_condi_z_max_bp31 mt_ev_condi_z_max_bp32 mt_ev_condi_z_max_bp33 mt_ev_condi_z_max_bp34 mt_ev_condi_z_max_bp35 mt_ev_condi_z_max_bp36 mt_ev_condi_z_max_bp37 mt_ev_condi_z_max_bp38 mt_ev_condi_z_max_bp39 mt_ev_condi_z_max_bp40 mt_ev_condi_z_max_bp41 mt_ev_condi_z_max_bp42 mt_ev_condi_z_max_bp43 mt_ev_condi_z_max_bp44 mt_ev_condi_z_max_bp45 mt_ev_condi_z_max_bp46 mt_ev_condi_z_max_bp47 mt_ev_condi_z_max_bp48 mt_ev_condi_z_max_bp49 mt_ev_condi_z_max_bp50 mt_ev_condi_z_max_bp51 mt_ev_condi_z_max_bp52 mt_ev_condi_z_max_bp53 mt_ev_condi_z_max_bp54 mt_ev_condi_z_max_bp55 mt_ev_condi_z_max_bp56 mt_ev_condi_z_max_bp57 mt_ev_condi_z_max_bp58 mt_ev_condi_z_max_bp59 mt_ev_condi_z_max_bp60 mt_ev_condi_z_max_bp61 mt_ev_condi_z_max_bp62 mt_ev_condi_z_max_bp63 mt_ev_condi_z_max_bp64 mt_ev_condi_z_max_bp65 mt_ev_condi_z_max_bp66 mt_ev_condi_z_max_bp67 mt_ev_condi_z_max_bp68 mt_ev_condi_z_max_bp69 mt_ev_condi_z_max_bp70 mt_ev_condi_z_max_bp71 mt_ev_condi_z_max_bp72 mt_ev_condi_z_max_bp73 mt_ev_condi_z_max_bp74 mt_ev_condi_z_max_bp75
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_____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ _____________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________ ______________________
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43.013 42.753 42.233 41.712 41.192 40.412 39.371 38.331 37.291 35.73 33.909 31.828 29.227 26.366 22.984 43.013 42.753 42.233 41.712 41.192 40.412 39.371 38.331 37.291 35.73 33.909 31.828 29.227 26.366 22.984 43.013 42.753 42.233 41.712 41.192 40.412 39.371 38.331 37.291 35.73 33.909 31.828 29.227 26.366 22.984 43.013 42.753 42.233 41.712 41.192 40.412 39.371 38.331 37.291 35.73 33.909 31.828 29.227 26.366 22.984 43.013 42.753 42.233 41.712 41.192 40.412 39.371 38.331 37.291 35.73 33.909 31.828 29.227 26.366 22.984
43.288 43.027 42.504 41.982 41.459 40.676 39.892 38.586 37.541 35.973 34.144 32.054 29.442 26.568 23.433 43.288 43.027 42.504 41.982 41.459 40.676 39.892 38.586 37.541 35.973 34.144 32.054 29.442 26.568 23.433 43.288 43.027 42.504 41.982 41.459 40.676 39.892 38.586 37.541 35.973 34.144 32.054 29.442 26.568 23.433 43.288 43.027 42.504 41.982 41.459 40.676 39.892 38.586 37.541 35.973 34.144 32.054 29.442 26.568 23.433 43.288 43.027 42.504 41.982 41.459 40.676 39.892 38.586 37.541 35.973 34.144 32.054 29.442 26.568 23.433
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44.114 43.849 43.32 42.79 42.261 41.467 40.673 39.615 38.291 36.703 35.115 32.733 30.351 27.44 24.264 44.114 43.849 43.32 42.79 42.261 41.467 40.673 39.615 38.291 36.703 35.115 32.733 30.351 27.44 24.264 44.114 43.849 43.32 42.79 42.261 41.467 40.673 39.615 38.291 36.703 35.115 32.733 30.351 27.44 24.264 44.114 43.849 43.32 42.79 42.261 41.467 40.673 39.615 38.291 36.703 35.115 32.733 30.351 27.44 24.264 44.114 43.849 43.32 42.79 42.261 41.467 40.673 39.615 38.291 36.703 35.115 32.733 30.351 27.44 24.264
44.389 44.123 43.592 43.06 42.528 41.731 40.934 39.87 38.541 37.212 35.352 33.225 30.568 27.644 24.454 44.389 44.123 43.592 43.06 42.528 41.731 40.934 39.87 38.541 37.212 35.352 33.225 30.568 27.644 24.454 44.389 44.123 43.592 43.06 42.528 41.731 40.934 39.87 38.541 37.212 35.352 33.225 30.568 27.644 24.454 44.389 44.123 43.592 43.06 42.528 41.731 40.934 39.87 38.541 37.212 35.352 33.225 30.568 27.644 24.454 44.389 44.123 43.592 43.06 42.528 41.731 40.934 39.87 38.541 37.212 35.352 33.225 30.568 27.644 24.454
44.664 44.397 43.863 43.329 42.796 41.995 41.194 40.126 38.792 37.457 35.588 33.453 30.784 27.847 24.911 44.664 44.397 43.863 43.329 42.796 41.995 41.194 40.126 38.792 37.457 35.588 33.453 30.784 27.847 24.911 44.664 44.397 43.863 43.329 42.796 41.995 41.194 40.126 38.792 37.457 35.588 33.453 30.784 27.847 24.911 44.664 44.397 43.863 43.329 42.796 41.995 41.194 40.126 38.792 37.457 35.588 33.453 30.784 27.847 24.911 44.664 44.397 43.863 43.329 42.796 41.995 41.194 40.126 38.792 37.457 35.588 33.453 30.784 27.847 24.911
44.939 44.671 44.135 43.599 43.063 42.259 41.454 40.382 39.042 37.701 35.825 33.68 31.268 28.319 25.102 44.939 44.671 44.135 43.599 43.063 42.259 41.454 40.382 39.042 37.701 35.825 33.68 31.268 28.319 25.102 44.939 44.671 44.135 43.599 43.063 42.259 41.454 40.382 39.042 37.701 35.825 33.68 31.268 28.319 25.102 44.939 44.671 44.135 43.599 43.063 42.259 41.454 40.382 39.042 37.701 35.825 33.68 31.268 28.319 25.102 44.939 44.671 44.135 43.599 43.063 42.259 41.454 40.382 39.042 37.701 35.825 33.68 31.268 28.319 25.102
45.214 44.945 44.407 43.868 43.33 42.522 41.715 40.638 39.561 37.946 36.061 33.908 31.485 28.524 25.293 45.214 44.945 44.407 43.868 43.33 42.522 41.715 40.638 39.561 37.946 36.061 33.908 31.485 28.524 25.293 45.214 44.945 44.407 43.868 43.33 42.522 41.715 40.638 39.561 37.946 36.061 33.908 31.485 28.524 25.293 45.214 44.945 44.407 43.868 43.33 42.522 41.715 40.638 39.561 37.946 36.061 33.908 31.485 28.524 25.293 45.214 44.945 44.407 43.868 43.33 42.522 41.715 40.638 39.561 37.946 36.061 33.908 31.485 28.524 25.293
45.49 45.219 44.679 44.408 43.597 43.057 41.975 40.894 39.812 38.19 36.298 34.135 31.702 28.729 25.755 45.49 45.219 44.679 44.408 43.597 43.057 41.975 40.894 39.812 38.19 36.298 34.135 31.702 28.729 25.755 45.49 45.219 44.679 44.408 43.597 43.057 41.975 40.894 39.812 38.19 36.298 34.135 31.702 28.729 25.755 45.49 45.219 44.679 44.408 43.597 43.057 41.975 40.894 39.812 38.19 36.298 34.135 31.702 28.729 25.755 45.49 45.219 44.679 44.408 43.597 43.057 41.975 40.894 39.812 38.19 36.298 34.135 31.702 28.729 25.755
45.765 45.493 44.95 44.679 43.864 43.321 42.236 41.15 40.064 38.435 36.806 34.634 31.919 29.205 25.947 45.765 45.493 44.95 44.679 43.864 43.321 42.236 41.15 40.064 38.435 36.806 34.634 31.919 29.205 25.947 45.765 45.493 44.95 44.679 43.864 43.321 42.236 41.15 40.064 38.435 36.806 34.634 31.919 29.205 25.947 45.765 45.493 44.95 44.679 43.864 43.321 42.236 41.15 40.064 38.435 36.806 34.634 31.919 29.205 25.947 45.765 45.493 44.95 44.679 43.864 43.321 42.236 41.15 40.064 38.435 36.806 34.634 31.919 29.205 25.947
46.04 45.767 45.495 44.949 44.132 43.586 42.496 41.678 40.315 38.679 37.044 34.863 32.409 29.411 26.139 46.04 45.767 45.495 44.949 44.132 43.586 42.496 41.678 40.315 38.679 37.044 34.863 32.409 29.411 26.139 46.04 45.767 45.495 44.949 44.132 43.586 42.496 41.678 40.315 38.679 37.044 34.863 32.409 29.411 26.139 46.04 45.767 45.495 44.949 44.132 43.586 42.496 41.678 40.315 38.679 37.044 34.863 32.409 29.411 26.139 46.04 45.767 45.495 44.949 44.132 43.586 42.496 41.678 40.315 38.679 37.044 34.863 32.409 29.411 26.139
46.315 46.041 45.768 45.22 44.399 43.851 42.756 41.935 40.566 39.198 37.281 35.091 32.628 29.617 26.605 46.315 46.041 45.768 45.22 44.399 43.851 42.756 41.935 40.566 39.198 37.281 35.091 32.628 29.617 26.605 46.315 46.041 45.768 45.22 44.399 43.851 42.756 41.935 40.566 39.198 37.281 35.091 32.628 29.617 26.605 46.315 46.041 45.768 45.22 44.399 43.851 42.756 41.935 40.566 39.198 37.281 35.091 32.628 29.617 26.605 46.315 46.041 45.768 45.22 44.399 43.851 42.756 41.935 40.566 39.198 37.281 35.091 32.628 29.617 26.605
46.59 46.315 46.04 45.491 44.666 44.116 43.292 42.192 40.818 39.443 37.519 35.32 32.846 29.822 26.799 46.59 46.315 46.04 45.491 44.666 44.116 43.292 42.192 40.818 39.443 37.519 35.32 32.846 29.822 26.799 46.59 46.315 46.04 45.491 44.666 44.116 43.292 42.192 40.818 39.443 37.519 35.32 32.846 29.822 26.799 46.59 46.315 46.04 45.491 44.666 44.116 43.292 42.192 40.818 39.443 37.519 35.32 32.846 29.822 26.799 46.59 46.315 46.04 45.491 44.666 44.116 43.292 42.192 40.818 39.443 37.519 35.32 32.846 29.822 26.799
46.865 46.589 46.313 45.761 45.209 44.381 43.553 42.449 41.069 39.689 37.757 35.549 33.064 30.304 26.992 46.865 46.589 46.313 45.761 45.209 44.381 43.553 42.449 41.069 39.689 37.757 35.549 33.064 30.304 26.992 46.865 46.589 46.313 45.761 45.209 44.381 43.553 42.449 41.069 39.689 37.757 35.549 33.064 30.304 26.992 46.865 46.589 46.313 45.761 45.209 44.381 43.553 42.449 41.069 39.689 37.757 35.549 33.064 30.304 26.992 46.865 46.589 46.313 45.761 45.209 44.381 43.553 42.449 41.069 39.689 37.757 35.549 33.064 30.304 26.992
47.141 46.863 46.586 46.032 45.478 44.646 43.815 42.706 41.32 39.935 37.994 36.054 33.56 30.511 27.463 47.141 46.863 46.586 46.032 45.478 44.646 43.815 42.706 41.32 39.935 37.994 36.054 33.56 30.511 27.463 47.141 46.863 46.586 46.032 45.478 44.646 43.815 42.706 41.32 39.935 37.994 36.054 33.56 30.511 27.463 47.141 46.863 46.586 46.032 45.478 44.646 43.815 42.706 41.32 39.935 37.994 36.054 33.56 30.511 27.463 47.141 46.863 46.586 46.032 45.478 44.646 43.815 42.706 41.32 39.935 37.994 36.054 33.56 30.511 27.463
47.416 47.137 46.859 46.303 45.746 44.911 44.076 42.963 41.572 40.18 38.51 36.284 33.779 30.718 27.657 47.416 47.137 46.859 46.303 45.746 44.911 44.076 42.963 41.572 40.18 38.51 36.284 33.779 30.718 27.657 47.416 47.137 46.859 46.303 45.746 44.911 44.076 42.963 41.572 40.18 38.51 36.284 33.779 30.718 27.657 47.416 47.137 46.859 46.303 45.746 44.911 44.076 42.963 41.572 40.18 38.51 36.284 33.779 30.718 27.657 47.416 47.137 46.859 46.303 45.746 44.911 44.076 42.963 41.572 40.18 38.51 36.284 33.779 30.718 27.657
47.691 47.411 47.132 46.573 46.014 45.176 44.338 43.22 42.102 40.426 38.749 36.514 33.999 31.205 27.852 47.691 47.411 47.132 46.573 46.014 45.176 44.338 43.22 42.102 40.426 38.749 36.514 33.999 31.205 27.852 47.691 47.411 47.132 46.573 46.014 45.176 44.338 43.22 42.102 40.426 38.749 36.514 33.999 31.205 27.852 47.691 47.411 47.132 46.573 46.014 45.176 44.338 43.22 42.102 40.426 38.749 36.514 33.999 31.205 27.852 47.691 47.411 47.132 46.573 46.014 45.176 44.338 43.22 42.102 40.426 38.749 36.514 33.999 31.205 27.852
48.247 47.686 47.405 46.844 46.283 45.441 44.599 43.477 42.355 40.671 38.988 36.744 34.219 31.413 28.327 48.247 47.686 47.405 46.844 46.283 45.441 44.599 43.477 42.355 40.671 38.988 36.744 34.219 31.413 28.327 48.247 47.686 47.405 46.844 46.283 45.441 44.599 43.477 42.355 40.671 38.988 36.744 34.219 31.413 28.327 48.247 47.686 47.405 46.844 46.283 45.441 44.599 43.477 42.355 40.671 38.988 36.744 34.219 31.413 28.327 48.247 47.686 47.405 46.844 46.283 45.441 44.599 43.477 42.355 40.671 38.988 36.744 34.219 31.413 28.327
Graph
if (bl_graph_evf)
Generate Limited Legends
8 graph points, 2 levels of borrow rates, and 4 levels of rbr rates
ar_it_z_r_infbr = ([1 round((fl_z_r_infbr_n)/2) (fl_z_r_infbr_n)]);
ar_it_z_wage = ([1 round((it_z_wage_n)/2) (it_z_wage_n)]);
% combine by index
mt_it_z_graph = ar_it_z_wage' + it_z_wage_n*(ar_it_z_r_infbr-1);
ar_it_z_graph = mt_it_z_graph(:)';
% legends index final
cl_st_legendCell = cellstr([num2str(ar_z_r_infbr_mesh_wage_w1r2', 'zr=%3.2f;'), ...
num2str(ar_z_wage_mesh_r_infbr_w1r2', 'zw=%3.2f')]);
Graph 1, V and EV
if (~bl_graph_onebyones) figure('PaperPosition', [0 0 14 4]); hold on; end for subplot_j=1:1:2 if (~bl_graph_onebyones) hAxis(subplot_j) = subplot(1,2,subplot_j); else figure('PaperPosition', [0 0 7 4]); end if (subplot_j==1) chart = plot(mt_val); end if (subplot_j==2) chart = plot(mt_ev_condi_z); end clr = jet(numel(chart)); for m = 1:numel(chart) set(chart(m),'Color',clr(m,:)) end legend(chart(ar_it_z_graph), cl_st_legendCell(ar_it_z_graph), 'Location','southeast'); if (subplot_j==1) title('V(coh,zp); w(k+b),k,z'); end if (subplot_j==2) title('E_z(V(coh,zp|z))'); end ylabel('Next Period Value'); xlabel({'Index of Cash-on-Hand Discrete Point'... 'Each Segment is a w=k+b; within segment increasing k'... 'EV and V identical if shock is fully persistent'}); grid on; grid minor; end % Share y axis if (~bl_graph_onebyones) linkaxes(hAxis,'y'); end % save file if (bl_img_save) mkdir(support_map('st_img_path')); st_file_name = [st_img_prefix st_img_name_main '_vev' st_img_suffix]; saveas(gcf, strcat(st_img_path, st_file_name)); end
Graph 2, max(EV)
if(~bl_graph_onebyones) figure('PaperPosition', [0 0 7 4]); end for sub_j=1:1:1 if(sub_j==1) mt_outcome = mt_ev_condi_z_max; st_y_label = 'max_{k''}(E(V(coh(k'',b''=w-k''),z''|z,w))'; end if(~bl_graph_onebyones) subplot(1,1,sub_j) else figure('PaperPosition', [0 0 7 4]); end hold on; clr = jet(length(ar_it_z_graph)); i_ctr = 0; for i = ar_it_z_graph i_ctr = i_ctr + 1; ar_x = ar_w_level_full; ar_y = mt_outcome(:, i); scatter(ar_x, ar_y, 5, ... 'MarkerEdgeColor', clr(i_ctr,:), ... 'MarkerFaceColor', clr(i_ctr,:)); end grid on; grid minor; title(['2nd Stage Exp Value at Optimal K given W=K''+B''']) ylabel(st_y_label) xlabel({'Aggregate Savings'}) legendCell_here = cl_st_legendCell; legendCell_here{length(legendCell_here) + 1} = 'max-agg-save'; legend(legendCell_here([ar_it_z_graph length(legendCell_here)]), 'Location','southeast'); xline0 = xline(0); xline0.HandleVisibility = 'off'; yline0 = yline(0); yline0.HandleVisibility = 'off'; end % save file if (bl_img_save) mkdir(support_map('st_img_path')); st_file_name = [st_img_prefix st_img_name_main '_maxev' st_img_suffix]; saveas(gcf, strcat(st_img_path, st_file_name)); end
Warning: Ignoring extra legend entries.
Graph 3, at max(EV) optimal choice category, color regions, borrow save
% Borrow Vs Save [ar_z_mw, ar_w_mz] = meshgrid(ar_z_wage_mesh_r_infbr_w1r2, ar_w_level_full); mt_it_borr_idx = (mt_ev_condi_z_max_bp < 0); mt_it_riskyhalf_idx = ((mt_ev_condi_z_max_kp./mt_ev_condi_z_max_bp) > 0.5); mt_it_kzero_idx = (mt_ev_condi_z_max_kp == 0); mt_it_isnan_idx = (isnan(mt_ev_condi_z_max_kp)); figure('PaperPosition', [0 0 7 4]); % States: ar_w, ar_z % Choices: mt_ev_condi_z_max_kp, mt_ev_condi_z_max_bp hold on; it_sca_size = 10; chart_br = scatter(ar_w_mz(mt_it_borr_idx),... ar_z_mw(mt_it_borr_idx),... it_sca_size, 'blue', 'filled'); % legend([chart_br], {'Borrow'}, 'Location','northeast'); chart_khalf = scatter(ar_w_mz(~mt_it_borr_idx & mt_it_riskyhalf_idx),... ar_z_mw(~mt_it_borr_idx & mt_it_riskyhalf_idx),... it_sca_size, 'black', 'filled'); % legend([chart_khalf], {'Save >0.5 K'}, 'Location','northeast'); chart_sv = scatter(ar_w_mz(~mt_it_borr_idx & ~mt_it_riskyhalf_idx),... ar_z_mw(~mt_it_borr_idx & ~mt_it_riskyhalf_idx),... it_sca_size, 'red', 'filled'); % legend([chart_sv], {'Save <0.5 K'}, 'Location','northeast'); chart_invalid = scatter(ar_w_mz(mt_it_kzero_idx | mt_it_isnan_idx),... ar_z_mw(mt_it_kzero_idx | mt_it_isnan_idx),... it_sca_size, 'yellow', 'filled'); legend([chart_br, chart_khalf, chart_sv, chart_invalid], ... {'Borrow','Save >0.5 K','Save <0.5 K', 'k=0 or k=nan'}, 'Location','northeast'); title('Borrow and Save Regions') ylabel('Shocks') xlabel({'Total Savings w=k+b'}) grid on; % save file if (bl_img_save) mkdir(support_map('st_img_path')); st_file_name = [st_img_prefix st_img_name_main '_maxbrsv' st_img_suffix]; saveas(gcf, strcat(st_img_path, st_file_name)); end
Graph 4, Optimal K' and B' Levels
compare results here to results from ff_ipwkbzr_evf. Several key differences:
- Each color line is thicker here, because there is in effect another state that is relevant now in the 2nd stage, which is the cash-on-hand percentage, which is implemented as a percentage of the w = k' + b' choice that needs to go cover bridge loan. So different percentages have the same color, hence thicker lines fore each color
- Jump between saving and borrowing, here, the borrowing and savings interest rates differ
- Finally, the discontinuities in choices, they occur here because of the formal menu of choices, the little squiggly up and downs are due to households using informal choices to complement formal choices.
[~, ar_w_mz] = meshgrid(ar_z_wage_mesh_r_infbr_w1r2, ar_w_level_full);
for sub_j=1:1:4
if (bl_graph_onebyones)
figure('PaperPosition', [0 0 7 4]);
end
if (sub_j==1)
if(~bl_graph_onebyones)
figure('PaperPosition', [0 0 14 4]);
subplot(1,2,sub_j);
end
mt_y = mt_ev_condi_z_max_bp;
end
if (sub_j==2)
if(~bl_graph_onebyones)
subplot(1,2,sub_j);
end
mt_y = mt_ev_condi_z_max_kp;
end
if (sub_j==3)
if(~bl_graph_onebyones)
figure('PaperPosition', [0 0 14 4]);
subplot(1,2,sub_j-2);
end
mt_y = zeros(size(mt_ev_condi_z_max_bp));
mt_it_borr_idx = (mt_ev_condi_z_max_bp < 0);
mt_y(mt_it_borr_idx) = -mt_ev_condi_z_max_bp(mt_it_borr_idx)/fl_b_bd;
mt_y(~mt_it_borr_idx) = mt_ev_condi_z_max_bp(~mt_it_borr_idx)./ar_w_mz(~mt_it_borr_idx);
end
if (sub_j==4)
if(~bl_graph_onebyones)
subplot(1,2,sub_j-2);
end
mt_y = mt_ev_condi_z_max_kp./(ar_w_level_full'-fl_b_bd);
end
hold on;
clr = jet(it_z_n);
for m = 1:it_z_n
chart(m) = scatter(ar_w_level_full, mt_y(:, m), 3, ...
'Marker', 'O', ...
'MarkerEdgeColor', clr(m,:), 'MarkerFaceAlpha', 0.75, ...
'MarkerFaceColor', clr(m,:), 'MarkerEdgeAlpha', 0.75);
end
legend2plot = fliplr(ar_it_z_graph);
legendCell = cl_st_legendCell;
xline0 = xline(0);
xline0.HandleVisibility = 'off';
yline0 = yline(0);
yline0.HandleVisibility = 'off';
grid on;
if (sub_j<=2)
hline = refline([1 0]);
hline.Color = 'k';
hline.LineStyle = ':';
hline.HandleVisibility = 'off';
end
if (sub_j==1)
title('B Choices of W');
ylabel('B Choices');
xlabel({'Total Savings w=k+b'});
legend(chart(legend2plot), legendCell(legend2plot), 'Location','northwest');
end
if (sub_j==2)
title('K Choices of W');
ylabel('K Choices');
xlabel({'Total Savings w=k+b'});
legend(chart(legend2plot), legendCell(legend2plot), 'Location','northwest');
end
if (sub_j==3)
title('B Fraction of Borrow Max and Save');
ylabel('B/bar(B) if br or B/W if sv');
xlabel({'Total Savings w=k+b'});
% set(gca, 'YScale', 'log');
ylim([-1.1 1.1]);
legend(chart(legend2plot), legendCell(legend2plot), 'Location','northwest');
end
if (sub_j==4)
title('K Fraction Choices of Total K Possible');
ylabel('K/(W-bar(b)) ');
xlabel({'Total Savings w=k+b'});
% set(gca, 'YScale', 'log');
ylim([0 1.1]);
legend(chart(legend2plot), legendCell(legend2plot), 'Location','northeast');
end
end
% save file
if (bl_img_save)
mkdir(support_map('st_img_path'));
st_file_name = [st_img_prefix st_img_name_main '_wkbopti' st_img_suffix];
saveas(gcf, strcat(st_img_path, st_file_name));
end
end
Display Various Containers
if (bl_display_evf)
Display 1 support_map
fft_container_map_display(support_map, it_display_summmat_rowmax, it_display_summmat_colmax);
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Begin: Show all key and value pairs from container
CONTAINER NAME: SUPPORT_MAP
----------------------------------------
Map with properties:
Count: 47
KeyType: char
ValueType: any
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pos = 1 ; key = bl_display ; val = false
pos = 2 ; key = bl_display_defparam ; val = true
pos = 3 ; key = bl_display_dist ; val = false
pos = 4 ; key = bl_display_evf ; val = true
pos = 5 ; key = bl_display_final ; val = true
pos = 6 ; key = bl_display_final_dist ; val = false
pos = 7 ; key = bl_display_final_dist_detail ; val = false
pos = 8 ; key = bl_display_funcgrids ; val = false
pos = 9 ; key = bl_display_infbridge ; val = false
pos = 10 ; key = bl_display_minccost ; val = false
pos = 11 ; key = bl_graph ; val = true
pos = 12 ; key = bl_graph_coh_t_coh ; val = true
pos = 13 ; key = bl_graph_evf ; val = true
pos = 14 ; key = bl_graph_forinf_discrete ; val = true
pos = 15 ; key = bl_graph_forinf_pol_lvl ; val = true
pos = 16 ; key = bl_graph_forinf_pol_pct ; val = true
pos = 17 ; key = bl_graph_funcgrids ; val = false
pos = 18 ; key = bl_graph_funcgrids_detail ; val = false
pos = 19 ; key = bl_graph_onebyones ; val = true
pos = 20 ; key = bl_graph_pol_lvl ; val = true
pos = 21 ; key = bl_graph_pol_pct ; val = true
pos = 22 ; key = bl_graph_val ; val = true
pos = 23 ; key = bl_img_save ; val = false
pos = 24 ; key = bl_mat ; val = false
pos = 25 ; key = bl_post ; val = true
pos = 26 ; key = bl_profile ; val = false
pos = 27 ; key = bl_profile_dist ; val = false
pos = 28 ; key = bl_time ; val = false
pos = 29 ; key = it_display_every ; val = 5
pos = 30 ; key = it_display_final_colmax ; val = 12
pos = 31 ; key = it_display_final_rowmax ; val = 100
pos = 32 ; key = it_display_summmat_colmax ; val = 5
pos = 33 ; key = it_display_summmat_rowmax ; val = 5
pos = 34 ; key = st_img_name_main ; val = _default
pos = 35 ; key = st_img_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/img/
pos = 36 ; key = st_img_prefix ; val =
pos = 37 ; key = st_img_suffix ; val = _p4.png
pos = 38 ; key = st_mat_name_main ; val = _default
pos = 39 ; key = st_mat_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/mat/
pos = 40 ; key = st_mat_prefix ; val =
pos = 41 ; key = st_mat_suffix ; val = _p4
pos = 42 ; key = st_matimg_path_root ; val = C:/Users/fan/CodeDynaAsset//m_fibs/
pos = 43 ; key = st_profile_name_main ; val = _default
pos = 44 ; key = st_profile_path ; val = C:/Users/fan/CodeDynaAsset//m_fibs//m_ipwkbzr_solve/profile/
pos = 45 ; key = st_profile_prefix ; val =
pos = 46 ; key = st_profile_suffix ; val = _p4
pos = 47 ; key = st_title_prefix ; val =
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _____
bl_display 1 1 0
bl_display_defparam 2 2 1
bl_display_dist 3 3 0
bl_display_evf 4 4 1
bl_display_final 5 5 1
bl_display_final_dist 6 6 0
bl_display_final_dist_detail 7 7 0
bl_display_funcgrids 8 8 0
bl_display_infbridge 9 9 0
bl_display_minccost 10 10 0
bl_graph 11 11 1
bl_graph_coh_t_coh 12 12 1
bl_graph_evf 13 13 1
bl_graph_forinf_discrete 14 14 1
bl_graph_forinf_pol_lvl 15 15 1
bl_graph_forinf_pol_pct 16 16 1
bl_graph_funcgrids 17 17 0
bl_graph_funcgrids_detail 18 18 0
bl_graph_onebyones 19 19 1
bl_graph_pol_lvl 20 20 1
bl_graph_pol_pct 21 21 1
bl_graph_val 22 22 1
bl_img_save 23 23 0
bl_mat 24 24 0
bl_post 25 25 1
bl_profile 26 26 0
bl_profile_dist 27 27 0
bl_time 28 28 0
it_display_every 29 29 5
it_display_final_colmax 30 30 12
it_display_final_rowmax 31 31 100
it_display_summmat_colmax 32 32 5
it_display_summmat_rowmax 33 33 5
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Strings in Container and Sizes and Basic Statistics
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i idx
__ ___
st_img_name_main 1 34
st_img_path 2 35
st_img_prefix 3 36
st_img_suffix 4 37
st_mat_name_main 5 38
st_mat_path 6 39
st_mat_prefix 7 40
st_mat_suffix 8 41
st_matimg_path_root 9 42
st_profile_name_main 10 43
st_profile_path 11 44
st_profile_prefix 12 45
st_profile_suffix 13 46
st_title_prefix 14 47
Display 2 armt_map
fft_container_map_display(armt_map, it_display_summmat_rowmax, it_display_summmat_colmax);
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Begin: Show all key and value pairs from container
CONTAINER NAME: ARMT_MAP
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Map with properties:
Count: 41
KeyType: char
ValueType: any
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pos = 1 ; key = ar_a_meshk ;rown= 932000 ,coln= 1
ar_a_meshk :mu= -14.2049 ,sd= 6.6272 ,min= -20 ,max= 49.93
zi_1_c1
_______
zi_1_R1 -20
zi_2_R2 -20
zi_466000_r466000 -19.995
zi_931999_r931999 -19.649
zi_932000_r932000 -19.93
pos = 2 ; key = ar_ak_perc ;rown= 1 ,coln= 250
ar_ak_perc :mu= 0.5 ,sd= 0.28983 ,min= 0.001 ,max= 0.999
zi_1_C1 zi_2_C2 zi_125_c125 zi_249_c249 zi_250_c250
_______ ________ ___________ ___________ ___________
zi_1_r1 0.001 0.005008 0.498 0.99499 0.999
pos = 3 ; key = ar_ameshk_tnext_with_r ;rown= 932000 ,coln= 5
ar_ameshk_tnext_with_r :mu= -14.9952 ,sd= 6.9383 ,min= -21.9 ,max= 51.1782
zi_1_c1 zi_2_c2 zi_3_c3 zi_4_c4 zi_5_c5
_______ _______ _______ _______ _______
zi_1_R1 -20.5 -20.85 -21.2 -21.55 -21.9
zi_2_R2 -20.5 -20.85 -21.2 -21.55 -21.9
zi_466000_r466000 -20.495 -20.845 -21.195 -21.42 -21.574
zi_931999_r931999 -20.141 -20.485 -20.828 -20.935 -20.946
zi_932000_r932000 -20.428 -20.777 -21.126 -21.237 -21.253
pos = 4 ; key = ar_aplusk_mesh ;rown= 932000 ,coln= 1
ar_aplusk_mesh :mu= -8.4098 ,sd= 9.8967 ,min= -20 ,max= 50
zi_1_c1
_______
zi_1_R1 -20
zi_2_R2 -20
zi_466000_r466000 -15.182
zi_931999_r931999 50
zi_932000_r932000 50
pos = 5 ; key = ar_coh_bridge_perc ;rown= 1 ,coln= 50
ar_coh_bridge_perc :mu= 0.5 ,sd= 0.2975 ,min= 0 ,max= 1
zi_1_C1 zi_2_C2 zi_25_c25 zi_49_c49 zi_50_c50
_______ ________ _________ _________ _________
zi_1_r1 0 0.020408 0.4898 0.97959 1
pos = 6 ; key = ar_forbrblk ;rown= 1 ,coln= 9
ar_forbrblk :mu= -7.0556 ,sd= 6.3809 ,min= -19 ,max= 0
zi_1_c1 zi_2_c2 zi_5_c5 zi_8_c8 zi_9_c9
_______ _______ _______ _______ _______
zi_1_r1 -19 -14.5 -5.5 -1 0
pos = 7 ; key = ar_forbrblk_r ;rown= 1 ,coln= 9
ar_forbrblk_r :mu= 0.065 ,sd= 0 ,min= 0.065 ,max= 0.065
zi_1_c1 zi_2_c2 zi_5_c5 zi_8_c8 zi_9_c9
_______ _______ _______ _______ _______
zi_1_r1 0.065 0.065 0.065 0.065 0.065
pos = 8 ; key = ar_interp_c_grid ;rown= 1 ,coln= 772572
ar_interp_c_grid :mu= 38.6486 ,sd= 22.3023 ,min= 0.02 ,max= 77.2773
zi_1_C1 zi_2_C2 zi_386286_c386286 zi_772571_c772571 zi_772572_c772572
_______ _______ _________________ _________________ _________________
zi_1_r1 0.02 0.0201 38.649 77.277 77.277
pos = 9 ; key = ar_interp_coh_grid ;rown= 1 ,coln= 772
ar_interp_coh_grid :mu= 18.6145 ,sd= 22.347 ,min= -20 ,max= 57.2773
zi_1_C1 zi_2_C2 zi_386_c386 zi_771_c771 zi_772_c772
_______ _______ ___________ ___________ ___________
zi_1_r1 -20 -19.9 18.538 57.177 57.277
pos = 10 ; key = ar_k_mesha ;rown= 932000 ,coln= 1
ar_k_mesha :mu= 5.7951 ,sd= 6.6272 ,min= 0 ,max= 69.93
zi_1_c1
_______
zi_1_R1 0
zi_2_R2 0
zi_466000_r466000 4.813
zi_931999_r931999 69.649
zi_932000_r932000 69.93
pos = 11 ; key = ar_w_level ;rown= 1 ,coln= 249
ar_w_level :mu= 14.9398 ,sd= 20.3112 ,min= -20 ,max= 50
zi_1_C1 zi_2_C2 zi_125_c125 zi_248_c248 zi_249_c249
_______ _______ ___________ ___________ ___________
zi_1_r1 -20 -19.717 14.858 49.717 50
pos = 12 ; key = ar_w_level_full ;rown= 1 ,coln= 3728
ar_w_level_full :mu= -8.4098 ,sd= 9.898 ,min= -20 ,max= 50
zi_1_C1 zi_2_C2 zi_1864_c1864 zi_3727_c3727 zi_3728_c3728
_______ _______ _____________ _____________ _____________
zi_1_r1 -20 -19.717 -15.182 49.717 50
pos = 13 ; key = ar_w_perc ;rown= 1 ,coln= 50
ar_w_perc :mu= 0.5 ,sd= 0.2969 ,min= 0.001 ,max= 0.999
zi_1_C1 zi_2_C2 zi_25_c25 zi_49_c49 zi_50_c50
_______ ________ _________ _________ _________
zi_1_r1 0.001 0.021367 0.48982 0.97863 0.999
pos = 14 ; key = ar_z_r_infbr ;rown= 1 ,coln= 5
ar_z_r_infbr :mu= 0.06 ,sd= 0.02767 ,min= 0.025 ,max= 0.095
zi_1_c1 zi_2_c2 zi_3_c3 zi_4_c4 zi_5_c5
_______ _______ _______ _______ _______
zi_1_r1 0.025 0.0425 0.06 0.0775 0.095
pos = 15 ; key = ar_z_r_infbr_mesh_wage_r1w2 ;rown= 1 ,coln= 75
ar_z_r_infbr_mesh_wage_r1w2 :mu= 0.06 ,sd= 0.024915 ,min= 0.025 ,max= 0.095
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_r1 0.025 0.0425 0.06 0.0775 0.095
pos = 16 ; key = ar_z_r_infbr_mesh_wage_w1r2 ;rown= 1 ,coln= 75
ar_z_r_infbr_mesh_wage_w1r2 :mu= 0.06 ,sd= 0.024915 ,min= 0.025 ,max= 0.095
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_r1 0.025 0.025 0.06 0.095 0.095
pos = 17 ; key = ar_z_r_infbr_prob ;rown= 1 ,coln= 5
ar_z_r_infbr_prob :mu= 0.2 ,sd= 0.34803 ,min= 0.00012164 ,max= 0.81093
zi_1_c1 zi_2_c2 zi_3_c3 zi_4_c4 zi_5_c5
__________ _________ ________ _______ _______
zi_1_r1 0.00012164 0.0024328 0.024328 0.16219 0.81093
pos = 18 ; key = ar_z_wage ;rown= 1 ,coln= 15
ar_z_wage :mu= 1.1347 ,sd= 0.69878 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_______ _______ _______ _________ _________
zi_1_r1 0.34741 0.40076 0.94436 2.2253 2.567
pos = 19 ; key = ar_z_wage_mesh_r_infbr_r1w2 ;rown= 1 ,coln= 75
ar_z_wage_mesh_r_infbr_r1w2 :mu= 1.1347 ,sd= 0.67963 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_r1 0.34741 0.34741 0.94436 2.567 2.567
pos = 20 ; key = ar_z_wage_mesh_r_infbr_w1r2 ;rown= 1 ,coln= 75
ar_z_wage_mesh_r_infbr_w1r2 :mu= 1.1347 ,sd= 0.67963 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_r1 0.34741 0.40076 0.94436 2.2253 2.567
pos = 21 ; key = ar_z_wage_prob ;rown= 1 ,coln= 15
ar_z_wage_prob :mu= 0.066667 ,sd= 0.060897 ,min= 0.0027089 ,max= 0.16757
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_________ _________ _______ _________ _________
zi_1_r1 0.0027089 0.0069499 0.16757 0.0069499 0.0027089
pos = 22 ; key = cl_mt_coh_wkb_mesh_z_r_infbr ;rown= 62250 ,coln= 75
cl_mt_coh_wkb_mesh_z_r_infbr :mu= -9.3782 ,sd= 6.2069 ,min= -20.0564 ,max= 5.7194
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_R1 -20.056 -20.056 -20.056 -20.056 -20.056
zi_2_R2 -20.056 -20.056 -20.056 -20.056 -20.056
zi_31125_r31125 -4.7291 -4.619 -3.4973 -0.8541 -0.14894
zi_62249_r62249 -10.134 -10.012 -8.7725 -5.8518 -5.0727
zi_62250_r62250 -10.137 -10.015 -8.7735 -5.8487 -5.0684
pos = 23 ; key = it_ameshk_n ; val = 932000
pos = 24 ; key = mt_bl_w_perc_mesh_interp_coh_grid_wneg ;rown= 50 ,coln= 772
mt_bl_w_perc_mesh_interp_coh_grid_wneg :mu= 0.60951 ,sd= 0.48787 ,min= 0 ,max= 1
zi_1_C1 zi_2_C2 zi_386_c386 zi_771_c771 zi_772_c772
_______ _______ ___________ ___________ ___________
zi_1_R1 true true true true true
zi_2_R2 true true true true true
zi_25_r25 true true true false false
zi_49_r49 true true false false false
zi_50_r50 true true false false false
pos = 25 ; key = mt_coh_bridge_perc_mesh_w_level_neg ;rown= 71 ,coln= 50
mt_coh_bridge_perc_mesh_w_level_neg :mu= 0.5 ,sd= 0.29455 ,min= 0 ,max= 1
zi_1_C1 zi_2_C2 zi_25_c25 zi_49_c49 zi_50_c50
_______ ________ _________ _________ _________
zi_1_R1 0 0.020408 0.4898 0.97959 1
zi_2_R2 0 0.020408 0.4898 0.97959 1
zi_36_r36 0 0.020408 0.4898 0.97959 1
zi_70_r70 0 0.020408 0.4898 0.97959 1
zi_71_r71 0 0.020408 0.4898 0.97959 1
pos = 26 ; key = mt_coh_w_perc_ratio_wneg ;rown= 23527 ,coln= 1
mt_coh_w_perc_ratio_wneg :mu= 0.72495 ,sd= 0.37217 ,min= 0 ,max= 1
zi_1_c1
_______
zi_1_R1 0
zi_2_R2 0
zi_11764_r11764 1
zi_23526_r23526 1
zi_23527_r23527 1
pos = 27 ; key = mt_coh_wkb ;rown= 4660000 ,coln= 15
mt_coh_wkb :mu= -7.3633 ,sd= 10.3551 ,min= -21.4564 ,max= 57.2773
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_______ _______ _______ _________ _________
zi_1_R1 -20.056 -20.056 -20.056 -20.056 -20.056
zi_2_R2 -20.056 -20.056 -20.056 -20.056 -20.056
zi_2330000_r2330000 -15.712 -15.618 -14.661 -12.405 -11.804
zi_4659999_r4659999 45.176 45.421 47.926 53.828 55.402
zi_4660000_r4660000 45.129 45.375 47.883 53.793 55.37
pos = 28 ; key = mt_interp_coh_grid_mesh_w_perc ;rown= 50 ,coln= 772
mt_interp_coh_grid_mesh_w_perc :mu= 18.6145 ,sd= 22.3329 ,min= -20 ,max= 57.2773
zi_1_C1 zi_2_C2 zi_386_c386 zi_771_c771 zi_772_c772
_______ _______ ___________ ___________ ___________
zi_1_R1 -20 -19.9 18.538 57.177 57.277
zi_2_R2 -20 -19.9 18.538 57.177 57.277
zi_25_r25 -20 -19.9 18.538 57.177 57.277
zi_49_r49 -20 -19.9 18.538 57.177 57.277
zi_50_r50 -20 -19.9 18.538 57.177 57.277
pos = 29 ; key = mt_interp_coh_grid_mesh_z ;rown= 772 ,coln= 75
mt_interp_coh_grid_mesh_z :mu= 18.6145 ,sd= 22.3328 ,min= -20 ,max= 57.2773
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_R1 -20 -20 -20 -20 -20
zi_2_R2 -19.9 -19.9 -19.9 -19.9 -19.9
zi_386_r386 18.538 18.538 18.538 18.538 18.538
zi_771_r771 57.177 57.177 57.177 57.177 57.177
zi_772_r772 57.277 57.277 57.277 57.277 57.277
pos = 30 ; key = mt_interp_coh_grid_mesh_z_wage ;rown= 772 ,coln= 15
mt_interp_coh_grid_mesh_z_wage :mu= 18.6145 ,sd= 22.3335 ,min= -20 ,max= 57.2773
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_______ _______ _______ _________ _________
zi_1_R1 -20 -20 -20 -20 -20
zi_2_R2 -19.9 -19.9 -19.9 -19.9 -19.9
zi_386_r386 18.538 18.538 18.538 18.538 18.538
zi_771_r771 57.177 57.177 57.177 57.177 57.177
zi_772_r772 57.277 57.277 57.277 57.277 57.277
pos = 31 ; key = mt_k ;rown= 250 ,coln= 3728
mt_k :mu= 5.7951 ,sd= 6.6272 ,min= 0 ,max= 69.93
zi_1_C1 zi_2_C2 zi_1864_c1864 zi_3727_c3727 zi_3728_c3728
_______ _________ _____________ _____________ _____________
zi_1_R1 0 0.0002834 0.0048178 0.069717 0.07
zi_2_R2 0 0.0014193 0.024128 0.34914 0.35056
zi_125_r125 0 0.14113 2.3993 34.719 34.86
zi_249_r249 0 0.28198 4.7937 69.367 69.649
zi_250_r250 0 0.28312 4.813 69.647 69.93
pos = 32 ; key = mt_w_level_neg_mesh_coh_bridge_perc ;rown= 71 ,coln= 50
mt_w_level_neg_mesh_coh_bridge_perc :mu= -10.081 ,sd= 5.8088 ,min= -20 ,max= -0.16194
zi_1_C1 zi_2_C2 zi_25_c25 zi_49_c49 zi_50_c50
________ ________ _________ _________ _________
zi_1_R1 -20 -20 -20 -20 -20
zi_2_R2 -19.717 -19.717 -19.717 -19.717 -19.717
zi_36_r36 -10.081 -10.081 -10.081 -10.081 -10.081
zi_70_r70 -0.44534 -0.44534 -0.44534 -0.44534 -0.44534
zi_71_r71 -0.16194 -0.16194 -0.16194 -0.16194 -0.16194
pos = 33 ; key = mt_w_perc_mesh_interp_coh_grid ;rown= 50 ,coln= 772
mt_w_perc_mesh_interp_coh_grid :mu= -0.69276 ,sd= 17.2218 ,min= -20 ,max= 57.2
zi_1_C1 zi_2_C2 zi_386_c386 zi_771_c771 zi_772_c772
_______ _______ ___________ ___________ ___________
zi_1_R1 -20 -20 -19.961 -19.923 -19.923
zi_2_R2 -20 -19.998 -19.177 -18.351 -18.349
zi_25_r25 -20 -19.951 -1.1233 17.803 17.852
zi_49_r49 -20 -19.902 17.715 55.528 55.626
zi_50_r50 -20 -19.9 18.5 57.1 57.2
pos = 34 ; key = mt_w_perc_mesh_interp_coh_grid_wneg ;rown= 23527 ,coln= 1
mt_w_perc_mesh_interp_coh_grid_wneg :mu= -12.2397 ,sd= 5.8332 ,min= -20 ,max= -0.0009157
zi_1_c1
_______
zi_1_R1 -20
zi_2_R2 -20
zi_11764_r11764 -4.474
zi_23526_r23526 -2.6095
zi_23527_r23527 -1.0355
pos = 35 ; key = mt_w_perc_mesh_interp_coh_grid_wpos ;rown= 15073 ,coln= 1
mt_w_perc_mesh_interp_coh_grid_wpos :mu= 17.3305 ,sd= 13.1706 ,min= 0.0036271 ,max= 57.2
zi_1_c1
________
zi_1_R1 0.051943
zi_2_R2 0.1522
zi_7537_R7537 13.967
zi_15072_r15072 55.626
zi_15073_r15073 57.2
pos = 36 ; key = mt_z_mesh_coh_wkb ;rown= 4660000 ,coln= 75
mt_z_mesh_coh_wkb :mu= 38 ,sd= 21.6487 ,min= 1 ,max= 75
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_R1 1 2 38 74 75
zi_2_R2 1 2 38 74 75
zi_2330000_r2330000 1 2 38 74 75
zi_4659999_r4659999 1 2 38 74 75
zi_4660000_r4660000 1 2 38 74 75
pos = 37 ; key = mt_z_mesh_coh_wkb_seg ;rown= 62250 ,coln= 75
mt_z_mesh_coh_wkb_seg :mu= 38 ,sd= 21.6487 ,min= 1 ,max= 75
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_R1 1 2 38 74 75
zi_2_R2 1 2 38 74 75
zi_31125_r31125 1 2 38 74 75
zi_62249_r62249 1 2 38 74 75
zi_62250_r62250 1 2 38 74 75
pos = 38 ; key = mt_z_mesh_interp_coh_grid ;rown= 772 ,coln= 75
mt_z_mesh_interp_coh_grid :mu= 38 ,sd= 21.6489 ,min= 1 ,max= 75
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
_______ _______ _________ _________ _________
zi_1_R1 1 2 38 74 75
zi_2_R2 1 2 38 74 75
zi_386_r386 1 2 38 74 75
zi_771_r771 1 2 38 74 75
zi_772_r772 1 2 38 74 75
pos = 39 ; key = mt_z_trans ;rown= 75 ,coln= 75
mt_z_trans :mu= 0.013333 ,sd= 0.040863 ,min= 0 ,max= 0.22626
zi_1_C1 zi_2_C2 zi_38_c38 zi_74_c74 zi_75_c75
__________ __________ __________ __________ __________
zi_1_R1 3.1646e-05 3.2638e-05 3.1195e-06 9.0031e-16 0
zi_2_R2 1.3662e-05 2.3868e-05 2.4049e-05 7.5897e-14 2.7009e-16
zi_38_r38 2.0899e-10 4.9882e-09 0.0067879 3.3255e-05 1.3933e-06
zi_74_r74 4.2258e-20 1.1385e-17 2.4049e-05 0.15912 0.091083
zi_75_r75 3.3344e-22 1.3449e-19 3.1195e-06 0.21758 0.21097
pos = 40 ; key = mt_z_wage_mesh_coh_wkb ;rown= 4660000 ,coln= 15
mt_z_wage_mesh_coh_wkb :mu= 1.1347 ,sd= 0.67508 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_______ _______ _______ _________ _________
zi_1_R1 0.34741 0.40076 0.94436 2.2253 2.567
zi_2_R2 0.34741 0.40076 0.94436 2.2253 2.567
zi_2330000_r2330000 0.34741 0.40076 0.94436 2.2253 2.567
zi_4659999_r4659999 0.34741 0.40076 0.94436 2.2253 2.567
zi_4660000_r4660000 0.34741 0.40076 0.94436 2.2253 2.567
pos = 41 ; key = mt_z_wage_mesh_interp_coh_grid ;rown= 772 ,coln= 15
mt_z_wage_mesh_interp_coh_grid :mu= 1.1347 ,sd= 0.67511 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_8_C8 zi_14_c14 zi_15_c15
_______ _______ _______ _________ _________
zi_1_R1 0.34741 0.40076 0.94436 2.2253 2.567
zi_2_R2 0.34741 0.40076 0.94436 2.2253 2.567
zi_386_r386 0.34741 0.40076 0.94436 2.2253 2.567
zi_771_r771 0.34741 0.40076 0.94436 2.2253 2.567
zi_772_r772 0.34741 0.40076 0.94436 2.2253 2.567
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Matrix in Container and Sizes and Basic Statistics
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i idx rowN colN mean std min max
__ ___ ________ __________ ________ ________ __________ __________
ar_a_meshk 1 1 9.32e+05 1 -14.205 6.6272 -20 49.93
ar_ak_perc 2 2 1 250 0.5 0.28983 0.001 0.999
ar_ameshk_tnext_with_r 3 3 9.32e+05 5 -14.995 6.9383 -21.9 51.178
ar_aplusk_mesh 4 4 9.32e+05 1 -8.4098 9.8967 -20 50
ar_coh_bridge_perc 5 5 1 50 0.5 0.2975 0 1
ar_forbrblk 6 6 1 9 -7.0556 6.3809 -19 0
ar_forbrblk_r 7 7 1 9 0.065 0 0.065 0.065
ar_interp_c_grid 8 8 1 7.7257e+05 38.649 22.302 0.02 77.277
ar_interp_coh_grid 9 9 1 772 18.614 22.347 -20 57.277
ar_k_mesha 10 10 9.32e+05 1 5.7951 6.6272 0 69.93
ar_w_level 11 11 1 249 14.94 20.311 -20 50
ar_w_level_full 12 12 1 3728 -8.4098 9.898 -20 50
ar_w_perc 13 13 1 50 0.5 0.2969 0.001 0.999
ar_z_r_infbr 14 14 1 5 0.06 0.02767 0.025 0.095
ar_z_r_infbr_mesh_wage_r1w2 15 15 1 75 0.06 0.024915 0.025 0.095
ar_z_r_infbr_mesh_wage_w1r2 16 16 1 75 0.06 0.024915 0.025 0.095
ar_z_r_infbr_prob 17 17 1 5 0.2 0.34803 0.00012164 0.81093
ar_z_wage 18 18 1 15 1.1347 0.69878 0.34741 2.567
ar_z_wage_mesh_r_infbr_r1w2 19 19 1 75 1.1347 0.67963 0.34741 2.567
ar_z_wage_mesh_r_infbr_w1r2 20 20 1 75 1.1347 0.67963 0.34741 2.567
ar_z_wage_prob 21 21 1 15 0.066667 0.060897 0.0027089 0.16757
cl_mt_coh_wkb_mesh_z_r_infbr 22 22 62250 75 -9.3782 6.2069 -20.056 5.7194
mt_bl_w_perc_mesh_interp_coh_grid_wneg 23 24 50 772 0.60951 0.48787 0 1
mt_coh_bridge_perc_mesh_w_level_neg 24 25 71 50 0.5 0.29455 0 1
mt_coh_w_perc_ratio_wneg 25 26 23527 1 0.72495 0.37217 0 1
mt_coh_wkb 26 27 4.66e+06 15 -7.3633 10.355 -21.456 57.277
mt_interp_coh_grid_mesh_w_perc 27 28 50 772 18.614 22.333 -20 57.277
mt_interp_coh_grid_mesh_z 28 29 772 75 18.614 22.333 -20 57.277
mt_interp_coh_grid_mesh_z_wage 29 30 772 15 18.614 22.334 -20 57.277
mt_k 30 31 250 3728 5.7951 6.6272 0 69.93
mt_w_level_neg_mesh_coh_bridge_perc 31 32 71 50 -10.081 5.8088 -20 -0.16194
mt_w_perc_mesh_interp_coh_grid 32 33 50 772 -0.69276 17.222 -20 57.2
mt_w_perc_mesh_interp_coh_grid_wneg 33 34 23527 1 -12.24 5.8332 -20 -0.0009157
mt_w_perc_mesh_interp_coh_grid_wpos 34 35 15073 1 17.33 13.171 0.0036271 57.2
mt_z_mesh_coh_wkb 35 36 4.66e+06 75 38 21.649 1 75
mt_z_mesh_coh_wkb_seg 36 37 62250 75 38 21.649 1 75
mt_z_mesh_interp_coh_grid 37 38 772 75 38 21.649 1 75
mt_z_trans 38 39 75 75 0.013333 0.040863 0 0.22626
mt_z_wage_mesh_coh_wkb 39 40 4.66e+06 15 1.1347 0.67508 0.34741 2.567
mt_z_wage_mesh_interp_coh_grid 40 41 772 15 1.1347 0.67511 0.34741 2.567
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Scalars in Container and Sizes and Basic Statistics
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i idx value
_ ___ ________
it_ameshk_n 1 23 9.32e+05
Display 3 param_map
fft_container_map_display(param_map, it_display_summmat_rowmax, it_display_summmat_colmax);
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Begin: Show all key and value pairs from container
CONTAINER NAME: PARAM_MAP
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Map with properties:
Count: 50
KeyType: char
ValueType: any
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pos = 1 ; key = bl_b_is_principle ; val = true
pos = 2 ; key = bl_bridge ; val = true
pos = 3 ; key = bl_default ; val = true
pos = 4 ; key = bl_rollover ; val = true
pos = 5 ; key = fl_Amean ; val = 1
pos = 6 ; key = fl_alpha ; val = 0.36
pos = 7 ; key = fl_b_bd ; val = -20
pos = 8 ; key = fl_beta ; val = 0.94
pos = 9 ; key = fl_c_min ; val = 0.02
pos = 10 ; key = fl_coh_interp_grid_gap ; val = 0.1
pos = 11 ; key = fl_crra ; val = 1.5
pos = 12 ; key = fl_default_wprime ; val = 0
pos = 13 ; key = fl_delta ; val = 0.08
pos = 14 ; key = fl_forbrblk_brleast ; val = -1
pos = 15 ; key = fl_forbrblk_brmost ; val = -19
pos = 16 ; key = fl_forbrblk_gap ; val = -1.5
pos = 17 ; key = fl_k_max ; val = 70
pos = 18 ; key = fl_k_min ; val = 0
pos = 19 ; key = fl_nan_replace ; val = -9999
pos = 20 ; key = fl_r_fbr ; val = 0.065
pos = 21 ; key = fl_r_fsv ; val = 0.025
pos = 22 ; key = fl_tol_dist ; val = 1e-05
pos = 23 ; key = fl_tol_pol ; val = 1e-05
pos = 24 ; key = fl_tol_val ; val = 1e-05
pos = 25 ; key = fl_w ; val = 0.44365
pos = 26 ; key = fl_w_interp_grid_gap ; val = 0.28
pos = 27 ; key = fl_w_max ; val = 50
pos = 28 ; key = fl_w_min ; val = -20
pos = 29 ; key = fl_z_r_infbr_max ; val = 0.095
pos = 30 ; key = fl_z_r_infbr_min ; val = 0.025
pos = 31 ; key = fl_z_r_infbr_n ; val = 5
pos = 32 ; key = fl_z_r_infbr_poiss_mean ; val = 20
pos = 33 ; key = fl_z_wage_mu ; val = 0
pos = 34 ; key = fl_z_wage_rho ; val = 0.8
pos = 35 ; key = fl_z_wage_sig ; val = 0.2
pos = 36 ; key = it_ak_perc_n ; val = 250
pos = 37 ; key = it_c_interp_grid_gap ; val = 0.0001
pos = 38 ; key = it_coh_bridge_perc_n ; val = 50
pos = 39 ; key = it_maxiter_dist ; val = 1000
pos = 40 ; key = it_maxiter_val ; val = 250
pos = 41 ; key = it_tol_pol_nochange ; val = 25
pos = 42 ; key = it_w_perc_n ; val = 50
pos = 43 ; key = it_z_n ; val = 75
pos = 44 ; key = it_z_wage_n ; val = 15
pos = 45 ; key = st_analytical_stationary_type ; val = eigenvector
pos = 46 ; key = st_forbrblk_type ; val = seg3
pos = 47 ; key = st_model ; val = ipwkbzr_fibs
pos = 48 ; key = st_v_coh_z_interp_method ; val = method_cell
pos = 49 ; key = st_z_r_infbr_drv_ele_type ; val = unif
pos = 50 ; key = st_z_r_infbr_drv_prb_type ; val = poiss
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _______
bl_b_is_principle 1 1 1
bl_bridge 2 2 1
bl_default 3 3 1
bl_rollover 4 4 1
fl_Amean 5 5 1
fl_alpha 6 6 0.36
fl_b_bd 7 7 -20
fl_beta 8 8 0.94
fl_c_min 9 9 0.02
fl_coh_interp_grid_gap 10 10 0.1
fl_crra 11 11 1.5
fl_default_wprime 12 12 0
fl_delta 13 13 0.08
fl_forbrblk_brleast 14 14 -1
fl_forbrblk_brmost 15 15 -19
fl_forbrblk_gap 16 16 -1.5
fl_k_max 17 17 70
fl_k_min 18 18 0
fl_nan_replace 19 19 -9999
fl_r_fbr 20 20 0.065
fl_r_fsv 21 21 0.025
fl_tol_dist 22 22 1e-05
fl_tol_pol 23 23 1e-05
fl_tol_val 24 24 1e-05
fl_w 25 25 0.44365
fl_w_interp_grid_gap 26 26 0.28
fl_w_max 27 27 50
fl_w_min 28 28 -20
fl_z_r_infbr_max 29 29 0.095
fl_z_r_infbr_min 30 30 0.025
fl_z_r_infbr_n 31 31 5
fl_z_r_infbr_poiss_mean 32 32 20
fl_z_wage_mu 33 33 0
fl_z_wage_rho 34 34 0.8
fl_z_wage_sig 35 35 0.2
it_ak_perc_n 36 36 250
it_c_interp_grid_gap 37 37 0.0001
it_coh_bridge_perc_n 38 38 50
it_maxiter_dist 39 39 1000
it_maxiter_val 40 40 250
it_tol_pol_nochange 41 41 25
it_w_perc_n 42 42 50
it_z_n 43 43 75
it_z_wage_n 44 44 15
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Strings in Container and Sizes and Basic Statistics
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i idx
_ ___
st_analytical_stationary_type 1 45
st_forbrblk_type 2 46
st_model 3 47
st_v_coh_z_interp_method 4 48
st_z_r_infbr_drv_ele_type 5 49
st_z_r_infbr_drv_prb_type 6 50
Display 4 func_map
fft_container_map_display(func_map, it_display_summmat_rowmax, it_display_summmat_colmax);
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Begin: Show all key and value pairs from container
CONTAINER NAME: FUNC_MAP
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Map with properties:
Count: 10
KeyType: char
ValueType: any
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pos = 1 ; key = f_coh ; val = @(z,b_with_r,k)(f_prod(z,k)+k*(1-fl_delta)+fl_w+b_with_r)
pos = 2 ; key = f_coh_fbis ; val = @(fl_r_inf,ar_for_borr,ar_inf_borr,ar_for_save)(ar_for_borr.*(1+fl_r_fbr)+ar_inf_borr.*(1+fl_r_inf)+ar_for_save.*(1+fl_r_fsv))
pos = 3 ; key = f_coh_save ; val = @(b)(b.*(1+fl_r_fsv))
pos = 4 ; key = f_cons ; val = @(coh,bprime,kprime)(coh-kprime-bprime)
pos = 5 ; key = f_inc ; val = @(z,k,fl_r_inf,ar_for_borr,ar_inf_borr,ar_for_save)(f_prod(z,k)-(fl_delta)*k+fl_w+(ar_for_borr.*(fl_r_fbr)+ar_inf_borr.*(fl_r_inf)+ar_for_save.*(fl_r_fsv)))
pos = 6 ; key = f_prod ; val = @(z,k)((fl_Amean.*(z)).*(k.^(fl_alpha)))
pos = 7 ; key = f_util_crra ; val = @(c)(((c).^(1-fl_crra)-1)./(1-fl_crra))
pos = 8 ; key = f_util_log ; val = @(c)log(c)
pos = 9 ; key = f_util_standin ; val = @(z,b,k)f_util_log((f_coh(z,b,k)-fl_b_bd).*((f_coh(z,b,k)-fl_b_bd)>fl_c_min)+fl_c_min.*((f_coh(z,b,k)-fl_b_bd)<=fl_c_min))
pos = 10 ; key = f_util_standin_coh ; val = @(coh,fl_r_borr)f_util_log((coh-fl_b_bd).*((coh>0)&(((coh-fl_b_bd)./(1))>fl_c_min))+((coh-fl_b_bd)./(1)).*((coh<=0)&(((coh-fl_b_bd)./(1))>fl_c_min))+(fl_c_min./(1+fl_r_borr)).*((((coh-fl_b_bd)./(1))<=fl_c_min)))
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Scalars in Container and Sizes and Basic Statistics
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i idx xFunction
__ ___ _________
f_coh 1 1 1
f_coh_fbis 2 2 2
f_coh_save 3 3 3
f_cons 4 4 4
f_inc 5 5 5
f_prod 6 6 6
f_util_crra 7 7 7
f_util_log 8 8 8
f_util_standin 9 9 9
f_util_standin_coh 10 10 10
end
end