Risky + Safe Asset Dyna Prog Two-Step-Interpolated Solution (Optimized-Vectorized)
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Contents
- FF_IWKZ_VF_VECSV solve infinite horizon exo shock + endo asset problem
- Default
- Parse Parameters 1
- Parse Parameters 2
- Initialize Output Matrixes
- Initialize Convergence Conditions
- Pre-calculate u(c)
- Iterate Value Function
- Interpolate (1) reacahble v(coh(k(w,z),b(w,z),z),z) given v(coh, z)
- Solve Second Stage Problem k*(w,z)
- Find which k choice differ across iterations?
- Solve First Stage Problem w*(z) given k*(w,z)
- Check Tolerance and Continuation
- Process Optimal Choices
- Display Various Containers
- Display 1 support_map
- Display 2 armt_map
- Display 3 param_map
- Display 4 func_map
- Display 5 result_map
function result_map = ff_iwkz_vf_vecsv(varargin)
FF_IWKZ_VF_VECSV solve infinite horizon exo shock + endo asset problem
This program solves the infinite horizon dynamic savings and risky capital asset problem with some ar1 shock. This is the efficient vectorized version of ff_iwkz_vf. See that file for more descriptions.
@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
@param func_map container container with function handles for consumption cash-on-hand etc.
@return result_map container contains policy function matrix, value function matrix, iteration results, and policy function, value function and iteration results tables.
keys included in result_map:
- mt_val matrix states_n by shock_n matrix of converged value function grid
- mt_pol_a matrix states_n by shock_n matrix of converged policy function grid
- ar_val_diff_norm array if bl_post = true it_iter_last by 1 val function difference between iteration
- ar_pol_diff_norm array if bl_post = true it_iter_last by 1 policy function difference between iterations
- mt_pol_perc_change matrix if bl_post = true it_iter_last by shock_n the proportion of grid points at which policy function changed between current and last iteration for each element of shock
@example
@include
@seealso
- concurrent (safe + risky) loop: ff_akz_vf
- concurrent (safe + risky) vectorized: ff_akz_vf_vec
- concurrent (safe + risky) optimized-vectorized: ff_akz_vf_vecsv
- two-stage (safe + risky) loop: ff_wkz_vf
- two-stage (safe + risky) vectorized: ff_wkz_vf_vec
- two-stage (safe + risky) optimized-vectorized: ff_wkz_vf_vecsv
- two-stage + interpolate (safe + risky) loop: ff_iwkz_vf
- two-stage + interpolate (safe + risky) vectorized: ff_iwkz_vf_vec
- two-stage + interpolate (safe + risky) optimized-vectorized: ff_iwkz_vf_vecsv
Default
- it_param_set = 1: quick test
- it_param_set = 2: benchmark run
- it_param_set = 3: benchmark profile
- it_param_set = 4: press publish button
it_param_set = 4; bl_input_override = true; [param_map, support_map] = ffs_akz_set_default_param(it_param_set); % Note: param_map and support_map can be adjusted here or outside to override defaults % param_map('it_w_n') = 50; % param_map('it_ak_n') = param_map('it_w_n'); % param_map('it_z_n') = 15; % param_map('fl_coh_interp_grid_gap') = 0.1; % param_map('it_c_interp_grid_gap') = 10^-4; % get armt and func map [armt_map, func_map] = ffs_akz_get_funcgrid(param_map, support_map); % 1 for override default_params = {param_map support_map armt_map func_map};
Parse Parameters 1
% if varargin only has param_map and support_map, params_len = length(varargin); [default_params{1:params_len}] = varargin{:}; param_map = [param_map; default_params{1}]; support_map = [support_map; default_params{2}]; if params_len >= 1 && params_len <= 2 % If override param_map, re-generate armt and func if they are not % provided [armt_map, func_map] = ffs_akz_get_funcgrid(param_map, support_map); else % Override all armt_map = [armt_map; default_params{3}]; func_map = [func_map; default_params{4}]; end % append function name st_func_name = 'ff_iwkz_vf_vecsv'; support_map('st_profile_name_main') = [st_func_name support_map('st_profile_name_main')]; support_map('st_mat_name_main') = [st_func_name support_map('st_mat_name_main')]; support_map('st_img_name_main') = [st_func_name support_map('st_img_name_main')];
Parse Parameters 2
% armt_map params_group = values(armt_map, {'ar_w', 'ar_z'}); [ar_w, ar_z] = params_group{:}; params_group = values(armt_map, {'ar_interp_c_grid', 'ar_interp_coh_grid', ... 'mt_interp_coh_grid_mesh_z', 'mt_z_mesh_coh_interp_grid'}); [ar_interp_c_grid, ar_interp_coh_grid, ... mt_interp_coh_grid_mesh_z, mt_z_mesh_coh_interp_grid] = params_group{:}; params_group = values(armt_map, {'mt_coh_wkb', 'mt_z_mesh_coh_wkb'}); [mt_coh_wkb, mt_z_mesh_coh_wkb] = params_group{:}; % func_map params_group = values(func_map, {'f_util_log', 'f_util_crra', 'f_cons', 'f_coh'}); [f_util_log, f_util_crra, f_cons, f_coh] = params_group{:}; % param_map params_group = values(param_map, {'fl_r_save', 'fl_r_borr', 'fl_w',... 'it_z_n', 'fl_crra', 'fl_beta', 'fl_c_min'}); [fl_r_save, fl_r_borr, fl_wage, it_z_n, fl_crra, fl_beta, fl_c_min] = params_group{:}; params_group = values(param_map, {'it_maxiter_val', 'fl_tol_val', 'fl_tol_pol', 'it_tol_pol_nochange'}); [it_maxiter_val, fl_tol_val, fl_tol_pol, it_tol_pol_nochange] = params_group{:}; % support_map params_group = values(support_map, {'bl_profile', 'st_profile_path', ... 'st_profile_prefix', 'st_profile_name_main', 'st_profile_suffix',... 'bl_time', 'bl_display_defparam', 'bl_graph_evf', 'bl_display', 'it_display_every', 'bl_post'}); [bl_profile, st_profile_path, ... st_profile_prefix, st_profile_name_main, st_profile_suffix, ... bl_time, bl_display_defparam, bl_graph_evf, bl_display, it_display_every, bl_post] = 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{:};
Initialize Output Matrixes
mt_val_cur = zeros(length(ar_interp_coh_grid),length(ar_z)); mt_val = mt_val_cur - 1; mt_pol_a = zeros(length(ar_interp_coh_grid),length(ar_z)); mt_pol_a_cur = mt_pol_a - 1; mt_pol_k = zeros(length(ar_interp_coh_grid),length(ar_z)); mt_pol_k_cur = mt_pol_k - 1; mt_pol_idx = zeros(length(ar_interp_coh_grid),length(ar_z)); mt_ev_condi_z_max_kp = zeros(length(ar_w),length(ar_z)); mt_ev_condi_z_max_kp_cur = mt_ev_condi_z_max_kp - 1; % We did not need these in ff_oz_vf or ff_oz_vf_vec % see % <https://fanwangecon.github.io/M4Econ/support/speed/partupdate/fs_u_c_partrepeat_main.html % fs_u_c_partrepeat_main> for why store using cells. cl_u_c_store = cell([it_z_n, 1]); cl_c_valid_idx = cell([it_z_n, 1]);
Initialize Convergence Conditions
bl_vfi_continue = true; it_iter = 0; ar_val_diff_norm = zeros([it_maxiter_val, 1]); ar_pol_diff_norm = zeros([it_maxiter_val, 1]); mt_pol_perc_change = zeros([it_maxiter_val, it_z_n]);
Pre-calculate u(c)
Interpolation, see fs_u_c_partrepeat_main for why interpolate over u(c)
% Evaluate if (fl_crra == 1) ar_interp_u_of_c_grid = f_util_log(ar_interp_c_grid); fl_u_neg_c = f_util_log(fl_c_min); else ar_interp_u_of_c_grid = f_util_crra(ar_interp_c_grid); fl_u_neg_c = f_util_crra(fl_c_min); end ar_interp_u_of_c_grid(ar_interp_c_grid <= fl_c_min) = fl_u_neg_c; % Get Interpolant f_grid_interpolant_spln = griddedInterpolant(ar_interp_c_grid, ar_interp_u_of_c_grid, 'spline');
Iterate Value Function
Loop solution with 4 nested loops
- loop 1: over exogenous states
- loop 2: over endogenous states
- loop 3: over choices
- loop 4: add future utility, integration--loop over future shocks
% Start Profile if (bl_profile) close all; profile off; profile on; end % Start Timer if (bl_time) tic; end % Value Function Iteration while bl_vfi_continue
it_iter = it_iter + 1;
Interpolate (1) reacahble v(coh(k(w,z),b(w,z),z),z) given v(coh, z)
v(coh,z) solved on ar_interp_coh_grid, ar_z grids, see ffs_iwkz_get_funcgrid.m. Generate interpolant based on that, Then interpolate for the coh reachable levels given the k(w,z) percentage choice grids in the second stage of the problem
% Generate Interpolant for v(coh,z) f_grid_interpolant_value = griddedInterpolant(... mt_z_mesh_coh_interp_grid', mt_interp_coh_grid_mesh_z', mt_val_cur', 'linear'); % Interpoalte for v(coh(k(w,z),b(w,z),z),z) mt_val_wkb_interpolated = f_grid_interpolant_value(mt_z_mesh_coh_wkb, mt_coh_wkb);
Solve Second Stage Problem k*(w,z)
This is the key difference between this function and ffs_akz_set_functions which solves the two stages jointly Interpolation first, because solution coh grid is not the same as all points reachable by k and b choices given w.
support_map('bl_graph_evf') = false; if (it_iter == (it_maxiter_val + 1)) support_map('bl_graph_evf') = bl_graph_evf; end [mt_ev_condi_z_max, ~, mt_ev_condi_z_max_kp, mt_ev_condi_z_max_bp] = ... ff_wkz_evf(mt_val_wkb_interpolated, param_map, support_map, armt_map);
Find which k choice differ across iterations?
mt_w_kstar_diff_idx = (mt_ev_condi_z_max_kp_cur ~= mt_ev_condi_z_max_kp);
Solve First Stage Problem w*(z) given k*(w,z)
% loop 1: over exogenous states for it_z_i = 1:length(ar_z) % State Array fixed ar_coh_z = mt_interp_coh_grid_mesh_z(:,it_z_i); % Get 2nd Stage Choice Arrays % Update rows where opti k given w=k'+b' is changing ar_w_kstar_diff_idx = mt_w_kstar_diff_idx(:, it_z_i); ar_w_kstar_z = mt_ev_condi_z_max_kp(ar_w_kstar_diff_idx, it_z_i); ar_w_astar_z = mt_ev_condi_z_max_bp(ar_w_kstar_diff_idx, it_z_i); % Consumption Update % Note that compared to % <https://fanwangecon.github.io/CodeDynaAsset/m_akz/paramfunc/html/ffs_akz_set_functions.html % ffs_akz_set_functions> the mt_c here is much smaller the same % number of columns (states) as in the ffs_akz_set_functions file, % but the number of rows equal to ar_w length. mt_c = f_cons(ar_coh_z', ar_w_astar_z, ar_w_kstar_z); % Interpolate (2) EVAL current utility: N by N, f_util defined earlier mt_utility_update = f_grid_interpolant_spln(mt_c); % Eliminate Complex Numbers mt_it_c_valid_idx = (mt_c <= fl_c_min); % Update Storage if (it_iter == 1) cl_u_c_store{it_z_i} = mt_utility_update; cl_c_valid_idx{it_z_i} = mt_it_c_valid_idx; else cl_u_c_store{it_z_i}(ar_w_kstar_diff_idx,:) = mt_utility_update; cl_c_valid_idx{it_z_i}(ar_w_kstar_diff_idx,:) = mt_it_c_valid_idx; end % EVAL add on future utility, N by N + N by 1 ar_evzp_ak_condi_z = mt_ev_condi_z_max(:, it_z_i); mt_utility = cl_u_c_store{it_z_i} + fl_beta*ar_evzp_ak_condi_z; % Index update % using the method below is much faster than index replace % see <https://fanwangecon.github.io/M4Econ/support/speed/index/fs_subscript.html fs_subscript> mt_it_c_valid_idx = cl_c_valid_idx{it_z_i}; mt_utility = mt_utility.*(~mt_it_c_valid_idx) + fl_u_neg_c*(mt_it_c_valid_idx); % Optimization: remember matlab is column major, rows must be % choices, columns must be states % <https://en.wikipedia.org/wiki/Row-_and_column-major_order COLUMN-MAJOR> [ar_opti_val1_z, ar_opti_idx_z] = max(mt_utility); mt_val(:,it_z_i) = ar_opti_val1_z; mt_pol_a(:,it_z_i) = mt_ev_condi_z_max_bp(ar_opti_idx_z, it_z_i); mt_pol_k(:,it_z_i) = mt_ev_condi_z_max_kp(ar_opti_idx_z, it_z_i); if (it_iter == (it_maxiter_val + 1)) mt_pol_idx(:,it_z_i) = ar_opti_idx_z; end end
Check Tolerance and Continuation
% Difference across iterations ar_val_diff_norm(it_iter) = norm(mt_val - mt_val_cur); ar_pol_diff_norm(it_iter) = norm(mt_pol_a - mt_pol_a_cur) + norm(mt_pol_k - mt_pol_k_cur); ar_pol_a_perc_change = sum((mt_pol_a ~= mt_pol_a_cur))/(length(ar_interp_coh_grid)); ar_pol_k_perc_change = sum((mt_pol_k ~= mt_pol_k_cur))/(length(ar_interp_coh_grid)); mt_pol_perc_change(it_iter, :) = mean([ar_pol_a_perc_change;ar_pol_k_perc_change]); % Update mt_val_cur = mt_val; mt_pol_a_cur = mt_pol_a; mt_pol_k_cur = mt_pol_k; mt_ev_condi_z_max_kp_cur = mt_ev_condi_z_max_kp; % Print Iteration Results if (bl_display && (rem(it_iter, it_display_every)==0)) fprintf('VAL it_iter:%d, fl_diff:%d, fl_diff_pol:%d\n', ... it_iter, ar_val_diff_norm(it_iter), ar_pol_diff_norm(it_iter)); tb_valpol_iter = array2table([mean(mt_val_cur,1);... mean(mt_pol_a_cur,1); ... mean(mt_pol_k_cur,1); ... mt_val_cur(length(ar_interp_coh_grid),:); ... mt_pol_a_cur(length(ar_interp_coh_grid),:); ... mt_pol_k_cur(length(ar_interp_coh_grid),:)]); tb_valpol_iter.Properties.VariableNames = strcat('z', string((1:size(mt_val_cur,2)))); tb_valpol_iter.Properties.RowNames = {'mval', 'map', 'mak', 'Hval', 'Hap', 'Hak'}; disp('mval = mean(mt_val_cur,1), average value over a') disp('map = mean(mt_pol_a_cur,1), average choice over a') disp('mkp = mean(mt_pol_k_cur,1), average choice over k') disp('Hval = mt_val_cur(it_ameshk_n,:), highest a state val') disp('Hap = mt_pol_a_cur(it_ameshk_n,:), highest a state choice') disp('mak = mt_pol_k_cur(it_ameshk_n,:), highest k state choice') disp(tb_valpol_iter); end % Continuation Conditions: % 1. if value function convergence criteria reached % 2. if policy function variation over iterations is less than % threshold if (it_iter == (it_maxiter_val + 1)) bl_vfi_continue = false; elseif ((it_iter == it_maxiter_val) || ... (ar_val_diff_norm(it_iter) < fl_tol_val) || ... (sum(ar_pol_diff_norm(max(1, it_iter-it_tol_pol_nochange):it_iter)) < fl_tol_pol)) % Fix to max, run again to save results if needed it_iter_last = it_iter; it_iter = it_maxiter_val; end
end % End Timer if (bl_time) toc; end % End Profile if (bl_profile) profile off profile viewer st_file_name = [st_profile_prefix st_profile_name_main st_profile_suffix]; profsave(profile('info'), strcat(st_profile_path, st_file_name)); end
Process Optimal Choices
result_map = containers.Map('KeyType','char', 'ValueType','any'); result_map('mt_val') = mt_val; result_map('mt_pol_idx') = mt_pol_idx; result_map('cl_mt_coh') = {mt_interp_coh_grid_mesh_z, zeros(1)}; result_map('cl_mt_pol_a') = {mt_pol_a, zeros(1)}; result_map('cl_mt_pol_k') = {mt_pol_k, zeros(1)}; result_map('cl_mt_pol_c') = {f_cons(mt_interp_coh_grid_mesh_z, mt_pol_a, mt_pol_k), zeros(1)}; result_map('ar_st_pol_names') = ["cl_mt_coh", "cl_mt_pol_a", "cl_mt_pol_k", "cl_mt_pol_c"]; if (bl_post) bl_input_override = true; result_map('ar_val_diff_norm') = ar_val_diff_norm(1:it_iter_last); result_map('ar_pol_diff_norm') = ar_pol_diff_norm(1:it_iter_last); result_map('mt_pol_perc_change') = mt_pol_perc_change(1:it_iter_last, :); % graphing based on coh_wkb, but that does not match optimal choice % matrixes for graphs. armt_map('mt_coh_wkb') = mt_interp_coh_grid_mesh_z; armt_map('it_ameshk_n') = length(ar_interp_coh_grid); armt_map('ar_a_meshk') = mt_interp_coh_grid_mesh_z(:,1); armt_map('ar_k_mesha') = zeros(size(mt_interp_coh_grid_mesh_z(:,1)) + 0); result_map = ff_akz_vf_post(param_map, support_map, armt_map, func_map, result_map, bl_input_override); end
valgap = norm(mt_val - mt_val_cur): value function difference across iterations
polgap = norm(mt_pol_a - mt_pol_a_cur): policy function difference across iterations
z1 = z1 perc change: (sum((mt_pol_a ~= mt_pol_a_cur))+sum((mt_pol_k ~= mt_pol_k_cur)))/(2*it_ameshk_n):percentage of state space points conditional on shock where the policy function is changing across iterations
valgap polgap z1 z2 z3 z4 z5 z6 z7 z8 z9 z10 z11 z12 z13 z14 z15
________ ______ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________
iter=1 142.95 184.61 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
iter=2 111 1643.2 0.9419 0.94102 0.92165 0.92077 0.90141 0.90053 0.88028 0.86092 0.83979 0.80106 0.76144 0.72095 0.67958 0.6206 0.55986
iter=3 92.611 546.99 0.64789 0.64789 0.51408 0.5132 0.58099 0.59067 0.62764 0.57746 0.75088 0.4912 0.61444 0.5088 0.5713 0.53169 0.54577
iter=4 79.394 268.49 0.53081 0.52993 0.45951 0.45599 0.55018 0.56162 0.51849 0.47535 0.65669 0.43662 0.53609 0.44982 0.49472 0.45246 0.45775
iter=5 69.125 160.51 0.44366 0.44366 0.41285 0.41461 0.46655 0.50352 0.47447 0.42342 0.60915 0.40053 0.45335 0.41109 0.42254 0.40141 0.40493
iter=6 60.852 109.05 0.37236 0.37236 0.35035 0.34859 0.38116 0.41901 0.42958 0.36092 0.60827 0.35035 0.41549 0.38732 0.36708 0.35211 0.35387
iter=7 53.985 81.824 0.30722 0.31074 0.28697 0.28961 0.31866 0.35387 0.35387 0.29754 0.54754 0.29489 0.37324 0.33451 0.31162 0.3037 0.30546
iter=8 48.182 68.124 0.22535 0.22623 0.22711 0.22623 0.2368 0.3125 0.26496 0.23415 0.56074 0.22711 0.33451 0.30458 0.24824 0.23944 0.25
iter=9 43.211 58.243 0.1787 0.17518 0.16549 0.17077 0.18134 0.25 0.20951 0.17958 0.58099 0.1787 0.29137 0.26496 0.1919 0.1919 0.19454
iter=10 38.915 51.077 0.13116 0.13908 0.13468 0.13204 0.14085 0.22623 0.15669 0.13996 0.57394 0.13644 0.2632 0.21743 0.15405 0.15581 0.15317
iter=11 35.131 43.68 0.11004 0.10211 0.10299 0.10211 0.11092 0.18486 0.125 0.10827 0.48151 0.11884 0.17342 0.20951 0.12324 0.12148 0.12588
iter=12 31.821 37.193 0.089789 0.091549 0.083627 0.086268 0.089789 0.14085 0.10387 0.088028 0.38468 0.089789 0.23944 0.13996 0.10299 0.10123 0.10739
iter=13 28.888 34.388 0.066901 0.069542 0.070423 0.071303 0.078345 0.17254 0.088028 0.080106 0.3662 0.080106 0.14789 0.16901 0.088908 0.088028 0.091549
iter=14 26.295 28.888 0.057218 0.060739 0.057218 0.058979 0.065141 0.098592 0.071303 0.06338 0.28873 0.06338 0.18046 0.10035 0.070423 0.078345 0.074824
iter=15 23.985 27.153 0.051937 0.048415 0.049296 0.048415 0.057218 0.1294 0.0625 0.055458 0.28609 0.056338 0.15845 0.12324 0.060739 0.060739 0.0625
iter=16 21.911 25.382 0.040493 0.044014 0.037852 0.044014 0.042254 0.10211 0.050176 0.046655 0.24384 0.045775 0.15229 0.11444 0.055458 0.055458 0.058099
iter=17 20.057 22.86 0.034331 0.034331 0.03257 0.03081 0.036092 0.18662 0.039613 0.039613 0.14877 0.041373 0.084507 0.070423 0.046655 0.045775 0.048415
iter=18 18.39 24.561 0.023768 0.02993 0.034331 0.02993 0.026408 0.1963 0.035211 0.02993 0.19806 0.03169 0.055458 0.06338 0.044894 0.036972 0.043134
iter=19 16.881 20.709 0.028169 0.027289 0.019366 0.026408 0.03257 0.125 0.03257 0.02993 0.18134 0.03169 0.09507 0.080106 0.029049 0.034331 0.037852
iter=20 15.511 17.739 0.020246 0.017606 0.027289 0.019366 0.025528 0.13204 0.025528 0.022007 0.11532 0.020246 0.021127 0.044894 0.035211 0.033451 0.02993
iter=21 14.266 18.981 0.022887 0.022007 0.015845 0.020246 0.014965 0.040493 0.03081 0.024648 0.15669 0.02993 0.072183 0.068662 0.024648 0.028169 0.03081
iter=22 13.136 15.744 0.018486 0.0079225 0.019366 0.013204 0.025528 0.049296 0.019366 0.019366 0.10475 0.013204 0.033451 0.022007 0.023768 0.024648 0.021127
iter=23 12.111 14.682 0.010563 0.015845 0.012324 0.013204 0.013204 0.090669 0.010563 0.014965 0.084507 0.026408 0.086268 0.029049 0.021127 0.014085 0.042254
iter=24 11.179 11.435 0.014085 0.018486 0.0088028 0.019366 0.0096831 0.049296 0.026408 0.014085 0.006162 0.0044014 0.027289 0.012324 0.011444 0.022887 0.041373
iter=25 10.329 15.902 0.010563 0.010563 0.010563 0.011444 0.011444 0.10651 0.0088028 0.006162 0.09507 0.017606 0.022007 0.018486 0.018486 0.021127 0.03257
iter=26 9.5518 11.088 0.0044014 0.011444 0.0096831 0.0079225 0.010563 0.012324 0.0052817 0.015845 0.052817 0.011444 0.051937 0.015845 0.014085 0.006162 0.035211
iter=27 8.8393 11.008 0.006162 0.006162 0.012324 0.0035211 0.013204 0.040493 0.019366 0.0079225 0.050176 0.011444 0.010563 0.0096831 0.010563 0.021127 0.048415
iter=28 8.1848 14.714 0.015845 0.0052817 0.0052817 0.014085 0.0017606 0.052817 0.006162 0.013204 0.081866 0.0079225 0.029049 0.03257 0.0088028 0.0079225 0.034331
iter=29 7.5831 10.375 0.0044014 0.010563 0.0035211 0.0052817 0.0088028 0.039613 0.0079225 0.0052817 0.0088028 0.0088028 0.014085 0.012324 0.0079225 0.0079225 0.045775
iter=30 7.0305 12.27 0.0035211 0.0052817 0.0079225 0.0035211 0.010563 0.023768 0.0088028 0.0052817 0.066021 0.0096831 0.012324 0.014085 0.014085 0.0096831 0.006162
iter=31 6.5222 10.397 0.006162 0.0044014 0.0044014 0.0044014 0.0035211 0.044894 0.0070423 0.006162 0.0070423 0.0079225 0.028169 0.0079225 0.0079225 0.0079225 0.029049
iter=32 6.055 12.198 0.0026408 0.0035211 0.0044014 0.006162 0.006162 0.060739 0.0044014 0.0052817 0.027289 0.0079225 0.0035211 0.0052817 0.0088028 0.0070423 0.027289
iter=33 5.6257 12.33 0.0052817 0.0026408 0.0035211 0.0017606 0.0035211 0.0052817 0.0096831 0.0044014 0.064261 0.0052817 0.006162 0.026408 0.0052817 0.006162 0.006162
iter=34 5.2314 11.84 0.0026408 0.0026408 0.0026408 0.0035211 0.0044014 0.058979 0.0044014 0.0035211 0.044894 0.0044014 0.0052817 0.0052817 0.0052817 0.0088028 0.024648
iter=35 4.8685 7.3464 0.0017606 0.0026408 0.0026408 0.0035211 0.00088028 0.023768 0.0017606 0.0026408 0.006162 0.0035211 0.0035211 0.0044014 0.0026408 0.0026408 0.006162
iter=36 4.5344 10.117 0.0017606 0.0017606 0.0035211 0.0026408 0.0052817 0.021127 0.0026408 0.0044014 0.044014 0.00088028 0.0035211 0.0026408 0.0035211 0.0035211 0.0035211
iter=37 4.226 10.514 0.0026408 0.0035211 0.0017606 0.00088028 0.0017606 0.046655 0.0026408 0.00088028 0.022887 0.0044014 0.0035211 0.006162 0.0052817 0.006162 0.021127
iter=38 3.9414 7.4757 0 0.0017606 0.0026408 0.0017606 0.00088028 0.0017606 0.00088028 0.0026408 0.006162 0.0017606 0.0035211 0.0035211 0.0017606 0.0044014 0.023768
iter=39 3.6783 7.0696 0.0026408 0.00088028 0.0017606 0.00088028 0.00088028 0.0017606 0.0017606 0.00088028 0.0035211 0.0026408 0.00088028 0.020246 0.0026408 0.00088028 0.021127
iter=40 3.4348 6.9059 0.0017606 0 0 0 0.0017606 0.021127 0.0017606 0.00088028 0.0026408 0.00088028 0.0017606 0.00088028 0.00088028 0.0026408 0.0017606
iter=41 3.2092 2.0408 0 0.00088028 0.0017606 0.0026408 0 0.00088028 0.00088028 0.0035211 0.00088028 0.00088028 0.0017606 0.0035211 0.0026408 0.00088028 0.00088028
iter=42 2.9998 1.7674 0.00088028 0.0017606 0.00088028 0.00088028 0.0026408 0.00088028 0.00088028 0 0.00088028 0.00088028 0.00088028 0.0026408 0.0017606 0.00088028 0.0017606
iter=43 2.8053 7.3746 0.0017606 0 0 0.00088028 0.00088028 0.021127 0.0026408 0 0.0026408 0 0.00088028 0.0017606 0.0017606 0.0017606 0.020246
iter=44 2.6246 3.9426 0 0.00088028 0.00088028 0.00088028 0 0 0.00088028 0.0026408 0 0.0017606 0.0017606 0 0.0026408 0.0017606 0.0044014
iter=45 2.4565 6.9191 0.00088028 0 0 0.00088028 0.00088028 0.00088028 0 0.00088028 0.00088028 0.00088028 0.0017606 0.0026408 0 0.00088028 0.020246
iter=46 2.2999 6.7686 0 0 0.00088028 0.00088028 0 0 0 0 0.019366 0.00088028 0 0.00088028 0 0.00088028 0.00088028
iter=47 2.1541 1.7674 0 0.00088028 0.00088028 0 0 0.00088028 0 0.00088028 0 0.0017606 0 0 0.0026408 0.0017606 0.0017606
iter=48 2.0181 1.4431 0.0017606 0.00088028 0 0 0.00088028 0 0 0 0.00088028 0 0 0 0 0 0
iter=49 1.8912 1.4431 0 0.00088028 0 0 0 0 0.0017606 0.00088028 0.00088028 0 0.00088028 0 0 0 0
iter=50 1.7728 1.0204 0.00088028 0 0 0.00088028 0 0.00088028 0.00088028 0 0.00088028 0 0 0.0017606 0 0.00088028 0.00088028
iter=61 0.88062 1.0204 0 0 0 0 0 0 0 0 0 0.00088028 0 0 0 0 0.00088028
iter=62 0.82695 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=63 0.77662 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=64 0.7294 1.0204 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00088028
iter=65 0.6851 1.0204 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00088028 0
iter=66 0.64354 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=67 0.60452 1.0204 0 0 0 0 0 0 0 0 0 0 0.0017606 0 0 0 0
iter=68 0.5679 1.0204 0 0 0 0 0.00088028 0 0 0 0 0 0.00088028 0 0 0 0
iter=69 0.53353 1.0204 0 0 0 0 0 0 0.00088028 0 0 0 0 0 0 0 0
iter=70 0.50126 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=71 0.47096 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=72 0.4425 1.0204 0 0 0 0 0 0 0 0 0 0 0.00088028 0 0 0 0
iter=73 0.41578 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=74 0.39069 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=75 0.36712 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=76 0.34498 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=77 0.32418 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=78 0.30465 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=79 0.2863 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=80 0.26905 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=81 0.25286 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=82 0.23764 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=83 0.22334 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=84 0.2099 1.0204 0 0 0 0.00088028 0 0 0 0 0 0 0 0 0 0 0
iter=85 0.19727 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=86 0.18541 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=87 0.17426 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=88 0.16378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=89 0.15394 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=90 0.14469 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=91 0.13599 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=92 0.12782 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=93 0.12014 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=94 0.11292 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=95 0.10614 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=96 0.099764 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=97 0.093772 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=98 0.088141 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=99 0.082848 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=100 0.077873 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=101 0.073197 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=102 0.068802 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=103 0.064671 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=104 0.060788 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=105 0.057139 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=106 0.053709 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=107 0.050485 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=108 0.047454 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=109 0.044606 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=110 0.041929 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
tb_val: V(a,z) value at each state space point
z1_0_34741 z2_0_40076 z3_0_4623 z4_0_5333 z5_0_61519 z6_0_70966 z10_1_2567 z11_1_4496 z12_1_6723 z13_1_9291 z14_2_2253 z15_2_567
__________ __________ _________ _________ __________ __________ __________ __________ __________ __________ __________ _________
coh1:k=0.443648,b=0 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694
coh2:k=0.543883,b=0 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403
coh3:k=0.644119,b=0 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183
coh4:k=0.744354,b=0 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01 -16.01
coh5:k=0.84459,b=0 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868 -15.868
coh6:k=0.944825,b=0 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749 -15.749
coh7:k=1.04506,b=0 -8.132 -7.8785 -7.5987 -7.3037 -6.9978 -6.6804 -5.1835 -4.729 -4.2584 -3.792 -3.3506 -2.9567
coh8:k=1.1453,b=0 -1.0535 -0.80001 -0.52015 -0.22515 0.080782 0.3981 1.895 2.3495 2.8201 3.2865 3.7279 4.1219
coh9:k=1.24553,b=0 0.39069 0.64416 0.92402 1.219 1.525 1.8423 3.3392 3.7937 4.2643 4.7307 5.1721 5.566
coh10:k=1.34577,b=0 1.0996 1.3531 1.6329 1.9279 2.2339 2.5512 4.0481 4.5026 4.9732 5.4396 5.881 6.2749
coh11:k=1.446,b=0 1.5402 1.7937 2.0735 2.3685 2.6745 2.9918 4.4887 4.9432 5.4138 5.8802 6.3216 6.7155
coh12:k=1.54624,b=0 1.8478 2.1013 2.3812 2.6762 2.9821 3.2994 4.7963 5.2508 5.7214 6.1878 6.6292 7.0232
coh13:k=1.64647,b=0 2.0782 2.3317 2.6116 2.9066 3.2125 3.5298 5.0267 5.4812 5.9518 6.4182 6.8596 7.2536
coh14:k=1.74671,b=0 2.2591 2.5126 2.7925 3.0875 3.3934 3.7107 5.2076 5.6621 6.1327 6.5991 7.0405 7.4345
coh15:k=1.84694,b=0 2.406 2.6595 2.9394 3.2344 3.5403 3.8576 5.3545 5.809 6.2796 6.746 7.1874 7.5814
coh16:k=1.94718,b=0 2.5284 2.7819 3.0617 3.3567 3.6627 3.98 5.4769 5.9314 6.402 6.8684 7.3098 7.7037
coh17:k=2.04742,b=0 2.6324 2.8858 3.1657 3.4607 3.7666 4.084 5.5809 6.0353 6.506 6.9723 7.4138 7.8077
coh18:k=2.14765,b=0 2.7222 2.9756 3.2555 3.5505 3.8564 4.1737 5.6707 6.1251 6.5958 7.0621 7.5036 7.8975
coh19:k=2.24789,b=0 2.8007 3.0542 3.334 3.629 3.935 4.2523 5.7492 6.2037 6.6743 7.1407 7.5821 7.9761
coh20:k=2.34812,b=0 2.8702 3.1237 3.4035 3.6985 4.0045 4.3218 5.8187 6.2732 6.7438 7.2102 7.6516 8.0455
coh21:k=2.44836,b=0 2.9322 3.1857 3.4656 3.7605 4.0665 4.3838 5.8807 6.3352 6.8058 7.2722 7.7136 8.1076
coh22:k=2.54859,b=0 3.0218 3.2936 3.5894 3.8956 4.2058 4.5183 5.9365 6.391 6.8616 7.328 7.7694 8.1634
coh23:k=2.64883,b=0 3.2636 3.5354 3.8312 4.1373 4.4476 4.7601 6.0819 6.4545 6.9122 7.3786 7.82 8.214
coh24:k=2.74906,b=0 3.452 3.7238 4.0196 4.3258 4.636 4.9485 6.2704 6.6429 7.0323 7.4265 7.8661 8.2601
coh25:k=2.8493,b=0 3.6042 3.876 4.1718 4.478 4.7882 5.1007 6.4225 6.7951 7.1845 7.5787 7.9616 8.3122
coh26:k=2.94953,b=0 3.7305 4.0022 4.2981 4.6042 4.9144 5.227 6.5488 6.9214 7.3107 7.705 8.0879 8.4384
coh27:k=3.04977,b=0 3.8374 4.1092 4.405 4.7112 5.0214 5.3339 6.6557 7.0283 7.4177 7.8119 8.1948 8.5454
coh28:k=3.15001,b=0 3.9295 4.2013 4.4971 4.8033 5.1135 5.426 6.7478 7.1204 7.5098 7.904 8.2869 8.6374
coh29:k=3.25024,b=0 4.0099 4.2817 4.5775 4.8836 5.1939 5.5064 6.8282 7.2008 7.5902 7.9844 8.3673 8.7178
coh30:k=3.35048,b=0 4.0809 4.3527 4.6485 4.9546 5.2648 5.5774 6.8992 7.2718 7.6611 8.0554 8.4383 8.7888
coh31:k=3.45071,b=0 4.1442 4.4159 4.7118 5.0179 5.3281 5.6406 6.9625 7.3351 7.7244 8.1187 8.5016 8.8521
coh32:k=3.55095,b=0 4.201 4.4728 4.7686 5.0748 5.385 5.6975 7.0193 7.3919 7.7813 8.1755 8.5584 8.909
coh33:k=3.65118,b=0 4.2525 4.5243 4.8201 5.1262 5.4364 5.749 7.0708 7.4434 7.8327 8.227 8.6099 8.9604
coh34:k=3.75142,b=0 4.2994 4.5711 4.867 5.1731 5.4833 5.7958 7.1177 7.4903 7.8796 8.2739 8.6568 9.0073
coh35:k=3.85165,b=0 4.3423 4.614 4.9099 5.216 5.5262 5.8388 7.1606 7.5332 7.9225 8.3168 8.6997 9.0502
coh36:k=3.95189,b=0 4.4271 4.6767 4.9602 5.2675 5.5831 5.9011 7.2001 7.5727 7.962 8.3563 8.7392 9.0897
coh37:k=4.05212,b=0 4.5372 4.7868 5.0703 5.3776 5.6932 6.0111 7.298 7.6386 7.9985 8.3928 8.7757 9.1262
coh38:k=4.15236,b=0 4.6317 4.8813 5.1648 5.4721 5.7877 6.1056 7.3925 7.7331 8.086 8.4459 8.8096 9.1601
coh39:k=4.2526,b=0 4.714 4.9636 5.2471 5.5544 5.87 6.1879 7.4748 7.8154 8.1683 8.5282 8.8833 9.2141
coh40:k=4.35283,b=0 4.7865 5.0361 5.3196 5.6269 5.9425 6.2605 7.5473 7.8879 8.2409 8.6008 8.9558 9.2866
coh41:k=4.45307,b=0 4.8511 5.1007 5.3842 5.6915 6.0071 6.325 7.6119 7.9525 8.3054 8.6653 9.0204 9.3511
coh42:k=4.5533,b=0 4.909 5.1586 5.4421 5.7494 6.065 6.383 7.6698 8.0104 8.3633 8.7233 9.0783 9.4091
coh43:k=4.65354,b=0 4.9614 5.211 5.4945 5.8018 6.1174 6.4353 7.7222 8.0628 8.4157 8.7756 9.1307 9.4614
coh44:k=4.75377,b=0 5.009 5.2586 5.5422 5.8494 6.165 6.483 7.7698 8.1104 8.4634 8.8233 9.1783 9.5091
coh45:k=4.85401,b=0 5.0526 5.3022 5.5857 5.893 6.2086 6.5266 7.8134 8.154 8.507 8.8669 9.2219 9.5527
coh46:k=4.95424,b=0 5.0927 5.3423 5.6258 5.9331 6.2487 6.5667 7.8535 8.1941 8.547 8.907 9.262 9.5928
coh47:k=5.05448,b=0 5.1537 5.3793 5.6629 5.9701 6.2857 6.6037 7.8905 8.2311 8.5841 8.944 9.299 9.6298
coh48:k=5.15471,b=0 5.2507 5.4719 5.7249 6.0045 6.3201 6.638 7.9248 8.2655 8.6184 8.9783 9.3334 9.6641
coh49:k=5.25495,b=0 5.335 5.5562 5.8092 6.0845 6.3772 6.6821 7.9568 8.2974 8.6503 9.0103 9.3653 9.6961
coh50:k=5.35519,b=0 5.4091 5.6303 5.8833 6.1586 6.4514 6.7563 8.0133 8.339 8.6802 9.0401 9.3952 9.7259
coh519:k=52.3656,b=0 15.021 15.066 15.118 15.176 15.241 15.311 15.659 15.766 15.882 16.006 16.136 16.265
coh520:k=52.4659,b=0 15.031 15.076 15.129 15.187 15.251 15.32 15.667 15.774 15.889 16.014 16.144 16.273
coh521:k=52.5661,b=0 15.042 15.087 15.139 15.197 15.261 15.33 15.674 15.781 15.897 16.022 16.152 16.28
coh522:k=52.6663,b=0 15.051 15.097 15.149 15.207 15.271 15.34 15.682 15.789 15.904 16.029 16.159 16.288
coh523:k=52.7666,b=0 15.061 15.106 15.158 15.217 15.281 15.35 15.692 15.797 15.912 16.036 16.167 16.295
coh524:k=52.8668,b=0 15.071 15.116 15.168 15.226 15.29 15.359 15.701 15.806 15.92 16.043 16.174 16.302
coh525:k=52.967,b=0 15.08 15.125 15.177 15.235 15.299 15.368 15.71 15.815 15.929 16.052 16.18 16.309
coh526:k=53.0673,b=0 15.088 15.134 15.186 15.244 15.308 15.377 15.719 15.824 15.938 16.061 16.189 16.315
coh527:k=53.1675,b=0 15.097 15.142 15.194 15.253 15.316 15.386 15.728 15.833 15.947 16.069 16.197 16.323
coh528:k=53.2677,b=0 15.105 15.15 15.203 15.261 15.325 15.394 15.736 15.841 15.955 16.077 16.205 16.332
coh529:k=53.368,b=0 15.115 15.159 15.211 15.269 15.333 15.402 15.744 15.849 15.963 16.086 16.214 16.34
coh530:k=53.4682,b=0 15.125 15.17 15.221 15.278 15.341 15.41 15.752 15.857 15.971 16.093 16.221 16.348
coh531:k=53.5684,b=0 15.136 15.18 15.231 15.288 15.351 15.419 15.76 15.864 15.978 16.101 16.229 16.355
coh532:k=53.6687,b=0 15.146 15.19 15.241 15.298 15.361 15.429 15.767 15.872 15.986 16.108 16.237 16.363
coh533:k=53.7689,b=0 15.155 15.2 15.251 15.308 15.37 15.438 15.775 15.879 15.993 16.116 16.244 16.37
coh534:k=53.8691,b=0 15.165 15.209 15.26 15.317 15.38 15.448 15.784 15.888 16 16.123 16.251 16.377
coh535:k=53.9694,b=0 15.174 15.218 15.269 15.326 15.389 15.457 15.794 15.897 16.009 16.13 16.258 16.384
coh536:k=54.0696,b=0 15.183 15.227 15.278 15.335 15.398 15.466 15.802 15.906 16.018 16.138 16.264 16.391
coh537:k=54.1699,b=0 15.191 15.236 15.287 15.344 15.406 15.474 15.811 15.914 16.026 16.147 16.272 16.397
coh538:k=54.2701,b=0 15.2 15.244 15.295 15.352 15.415 15.483 15.819 15.923 16.035 16.155 16.281 16.404
coh539:k=54.3703,b=0 15.208 15.252 15.303 15.36 15.423 15.491 15.828 15.931 16.043 16.163 16.289 16.413
coh540:k=54.4706,b=0 15.218 15.261 15.311 15.368 15.431 15.499 15.835 15.939 16.051 16.171 16.297 16.42
coh541:k=54.5708,b=0 15.228 15.271 15.321 15.378 15.439 15.507 15.843 15.946 16.058 16.179 16.305 16.428
coh542:k=54.671,b=0 15.238 15.281 15.332 15.388 15.449 15.516 15.851 15.954 16.066 16.186 16.312 16.436
coh543:k=54.7713,b=0 15.248 15.291 15.341 15.397 15.459 15.526 15.858 15.961 16.073 16.194 16.319 16.443
coh544:k=54.8715,b=0 15.257 15.301 15.351 15.407 15.468 15.535 15.866 15.968 16.08 16.201 16.326 16.45
coh545:k=54.9717,b=0 15.266 15.31 15.36 15.416 15.477 15.544 15.875 15.977 16.087 16.208 16.333 16.457
coh546:k=55.072,b=0 15.275 15.319 15.369 15.425 15.486 15.553 15.884 15.986 16.096 16.214 16.34 16.464
coh547:k=55.1722,b=0 15.284 15.327 15.378 15.434 15.495 15.562 15.893 15.994 16.104 16.223 16.347 16.47
coh548:k=55.2724,b=0 15.292 15.336 15.386 15.442 15.503 15.57 15.901 16.003 16.113 16.231 16.354 16.477
coh549:k=55.3727,b=0 15.301 15.344 15.394 15.45 15.511 15.578 15.91 16.011 16.121 16.239 16.362 16.483
coh550:k=55.4729,b=0 15.309 15.352 15.402 15.458 15.519 15.586 15.917 16.019 16.129 16.247 16.37 16.489
coh551:k=55.5732,b=0 15.316 15.36 15.41 15.466 15.527 15.594 15.925 16.027 16.137 16.255 16.377 16.497
coh552:k=55.6734,b=0 15.324 15.367 15.417 15.473 15.535 15.601 15.933 16.034 16.144 16.262 16.385 16.505
coh553:k=55.7736,b=0 15.331 15.374 15.425 15.481 15.542 15.609 15.94 16.041 16.152 16.27 16.392 16.512
coh554:k=55.8739,b=0 15.338 15.382 15.432 15.488 15.549 15.616 15.947 16.049 16.159 16.277 16.399 16.519
coh555:k=55.9741,b=0 15.345 15.389 15.439 15.495 15.556 15.623 15.954 16.056 16.166 16.284 16.406 16.526
coh556:k=56.0743,b=0 15.352 15.395 15.445 15.501 15.563 15.63 15.961 16.062 16.172 16.29 16.413 16.533
coh557:k=56.1746,b=0 15.359 15.402 15.452 15.508 15.569 15.636 15.967 16.069 16.179 16.297 16.42 16.539
coh558:k=56.2748,b=0 15.365 15.408 15.459 15.515 15.576 15.643 15.974 16.075 16.185 16.304 16.426 16.546
coh559:k=56.375,b=0 15.371 15.415 15.465 15.521 15.582 15.649 15.98 16.082 16.192 16.31 16.432 16.552
coh560:k=56.4753,b=0 15.377 15.421 15.471 15.527 15.588 15.655 15.986 16.088 16.198 16.316 16.439 16.558
coh561:k=56.5755,b=0 15.383 15.427 15.477 15.533 15.594 15.661 15.992 16.094 16.204 16.322 16.445 16.564
coh562:k=56.6757,b=0 15.389 15.433 15.483 15.539 15.6 15.667 15.998 16.1 16.21 16.328 16.451 16.57
coh563:k=56.776,b=0 15.395 15.438 15.489 15.545 15.606 15.673 16.004 16.105 16.216 16.334 16.456 16.576
coh564:k=56.8762,b=0 15.401 15.444 15.494 15.55 15.612 15.678 16.01 16.111 16.221 16.339 16.462 16.582
coh565:k=56.9764,b=0 15.406 15.45 15.5 15.556 15.617 15.684 16.015 16.117 16.227 16.345 16.467 16.587
coh566:k=57.0767,b=0 15.412 15.455 15.505 15.561 15.622 15.689 16.021 16.122 16.232 16.35 16.473 16.592
coh567:k=57.1769,b=0 15.417 15.46 15.51 15.566 15.628 15.695 16.026 16.127 16.237 16.355 16.478 16.598
coh568:k=57.2772,b=0 15.422 15.465 15.516 15.572 15.633 15.7 16.031 16.132 16.243 16.361 16.483 16.603
tb_pol_a: optimal safe savings choice for each state space point
z1_0_34741 z2_0_40076 z3_0_4623 z4_0_5333 z5_0_61519 z6_0_70966 z10_1_2567 z11_1_4496 z12_1_6723 z13_1_9291 z14_2_2253 z15_2_567
__________ __________ _________ _________ __________ __________ __________ __________ __________ __________ __________ _________
coh1:k=0.443648,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=0.543883,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh3:k=0.644119,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh4:k=0.744354,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh5:k=0.84459,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh6:k=0.944825,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh7:k=1.04506,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh8:k=1.1453,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh9:k=1.24553,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh10:k=1.34577,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh11:k=1.446,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh12:k=1.54624,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh13:k=1.64647,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh14:k=1.74671,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh15:k=1.84694,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh16:k=1.94718,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh17:k=2.04742,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh18:k=2.14765,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh19:k=2.24789,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh20:k=2.34812,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh21:k=2.44836,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh22:k=2.54859,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh23:k=2.64883,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh24:k=2.74906,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh25:k=2.8493,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh26:k=2.94953,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh27:k=3.04977,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh28:k=3.15001,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh29:k=3.25024,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh30:k=3.35048,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh31:k=3.45071,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh32:k=3.55095,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh33:k=3.65118,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh34:k=3.75142,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh35:k=3.85165,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh36:k=3.95189,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh37:k=4.05212,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh38:k=4.15236,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh39:k=4.2526,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh40:k=4.35283,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh41:k=4.45307,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh42:k=4.5533,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh43:k=4.65354,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh44:k=4.75377,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh45:k=4.85401,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh46:k=4.95424,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh47:k=5.05448,b=0 2.0408 1.0204 0 0 0 0 0 0 0 0 0 0
coh48:k=5.15471,b=0 2.0408 2.0408 1.0204 0 0 0 0 0 0 0 0 0
coh49:k=5.25495,b=0 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh50:k=5.35519,b=0 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh519:k=52.3656,b=0 45.918 45.918 44.898 44.898 42.857 42.857 37.755 35.714 33.673 31.633 28.571 25.51
coh520:k=52.4659,b=0 45.918 45.918 44.898 44.898 43.878 43.878 37.755 35.714 33.673 31.633 28.571 25.51
coh521:k=52.5661,b=0 45.918 45.918 44.898 44.898 43.878 43.878 37.755 35.714 33.673 31.633 28.571 25.51
coh522:k=52.6663,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 35.714 33.673 31.633 28.571 25.51
coh523:k=52.7666,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 33.673 31.633 28.571 25.51
coh524:k=52.8668,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 34.694 31.633 28.571 25.51
coh525:k=52.967,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 34.694 32.653 28.571 25.51
coh526:k=53.0673,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 34.694 32.653 29.592 25.51
coh527:k=53.1675,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 34.694 32.653 29.592 26.531
coh528:k=53.2677,b=0 45.918 45.918 44.898 44.898 43.878 43.878 38.776 36.735 34.694 32.653 29.592 26.531
coh529:k=53.368,b=0 46.939 46.939 44.898 44.898 43.878 43.878 38.776 36.735 34.694 32.653 29.592 26.531
coh530:k=53.4682,b=0 46.939 46.939 45.918 45.918 43.878 43.878 38.776 36.735 34.694 32.653 29.592 26.531
coh531:k=53.5684,b=0 46.939 46.939 45.918 45.918 44.898 44.898 38.776 36.735 34.694 32.653 29.592 26.531
coh532:k=53.6687,b=0 46.939 46.939 45.918 45.918 44.898 44.898 38.776 36.735 34.694 32.653 29.592 26.531
coh533:k=53.7689,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 36.735 34.694 32.653 29.592 26.531
coh534:k=53.8691,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 34.694 32.653 29.592 26.531
coh535:k=53.9694,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 35.714 32.653 29.592 26.531
coh536:k=54.0696,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 35.714 33.673 29.592 26.531
coh537:k=54.1699,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 35.714 33.673 30.612 26.531
coh538:k=54.2701,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh539:k=54.3703,b=0 46.939 46.939 45.918 45.918 44.898 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh540:k=54.4706,b=0 47.959 47.959 45.918 45.918 44.898 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh541:k=54.5708,b=0 47.959 47.959 46.939 46.939 45.918 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh542:k=54.671,b=0 47.959 47.959 46.939 46.939 45.918 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh543:k=54.7713,b=0 47.959 47.959 46.939 46.939 45.918 44.898 39.796 37.755 35.714 33.673 30.612 27.551
coh544:k=54.8715,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 37.755 35.714 33.673 30.612 27.551
coh545:k=54.9717,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 35.714 33.673 30.612 27.551
coh546:k=55.072,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 33.673 30.612 27.551
coh547:k=55.1722,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 30.612 27.551
coh548:k=55.2724,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 27.551
coh549:k=55.3727,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 27.551
coh550:k=55.4729,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh551:k=55.5732,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh552:k=55.6734,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh553:k=55.7736,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh554:k=55.8739,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh555:k=55.9741,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh556:k=56.0743,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh557:k=56.1746,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh558:k=56.2748,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh559:k=56.375,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh560:k=56.4753,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh561:k=56.5755,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh562:k=56.6757,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh563:k=56.776,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh564:k=56.8762,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh565:k=56.9764,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh566:k=57.0767,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh567:k=57.1769,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
coh568:k=57.2772,b=0 47.959 47.959 46.939 46.939 45.918 44.898 40.816 38.776 36.735 34.694 31.633 28.571
tb_pol_k: optimal risky investment choice for each state space point
z1_0_34741 z2_0_40076 z3_0_4623 z4_0_5333 z5_0_61519 z6_0_70966 z10_1_2567 z11_1_4496 z12_1_6723 z13_1_9291 z14_2_2253 z15_2_567
__________ __________ _________ _________ __________ __________ __________ __________ __________ __________ __________ _________
coh1:k=0.443648,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=0.543883,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh3:k=0.644119,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh4:k=0.744354,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh5:k=0.84459,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh6:k=0.944825,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh7:k=1.04506,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh8:k=1.1453,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh9:k=1.24553,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh10:k=1.34577,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh11:k=1.446,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh12:k=1.54624,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh13:k=1.64647,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh14:k=1.74671,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh15:k=1.84694,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh16:k=1.94718,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh17:k=2.04742,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh18:k=2.14765,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh19:k=2.24789,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh20:k=2.34812,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh21:k=2.44836,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh22:k=2.54859,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh23:k=2.64883,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204 1.0204 1.0204
coh24:k=2.74906,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204
coh25:k=2.8493,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh26:k=2.94953,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh27:k=3.04977,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh28:k=3.15001,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh29:k=3.25024,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh30:k=3.35048,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh31:k=3.45071,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh32:k=3.55095,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh33:k=3.65118,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh34:k=3.75142,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh35:k=3.85165,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh36:k=3.95189,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh37:k=4.05212,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408 2.0408 2.0408
coh38:k=4.15236,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408
coh39:k=4.2526,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh40:k=4.35283,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh41:k=4.45307,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh42:k=4.5533,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh43:k=4.65354,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh44:k=4.75377,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh45:k=4.85401,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh46:k=4.95424,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh47:k=5.05448,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh48:k=5.15471,b=0 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh49:k=5.25495,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh50:k=5.35519,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 3.0612 3.0612 3.0612 3.0612
coh519:k=52.3656,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh520:k=52.4659,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh521:k=52.5661,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh522:k=52.6663,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh523:k=52.7666,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh524:k=52.8668,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh525:k=52.967,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh526:k=53.0673,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh527:k=53.1675,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh528:k=53.2677,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh529:k=53.368,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh530:k=53.4682,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh531:k=53.5684,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh532:k=53.6687,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh533:k=53.7689,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh534:k=53.8691,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh535:k=53.9694,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh536:k=54.0696,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh537:k=54.1699,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh538:k=54.2701,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh539:k=54.3703,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh540:k=54.4706,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh541:k=54.5708,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh542:k=54.671,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh543:k=54.7713,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh544:k=54.8715,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh545:k=54.9717,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh546:k=55.072,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh547:k=55.1722,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh548:k=55.2724,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh549:k=55.3727,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh550:k=55.4729,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh551:k=55.5732,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh552:k=55.6734,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh553:k=55.7736,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh554:k=55.8739,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh555:k=55.9741,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh556:k=56.0743,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh557:k=56.1746,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh558:k=56.2748,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh559:k=56.375,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh560:k=56.4753,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh561:k=56.5755,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh562:k=56.6757,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh563:k=56.776,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh564:k=56.8762,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh565:k=56.9764,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh566:k=57.0767,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh567:k=57.1769,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
coh568:k=57.2772,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 9.1837 11.224 13.265 15.306 18.367 21.429
tb_pol_w: risky + safe investment choices (first stage choice, choose within risky vs safe)
z1_0_34741 z2_0_40076 z3_0_4623 z4_0_5333 z5_0_61519 z6_0_70966 z10_1_2567 z11_1_4496 z12_1_6723 z13_1_9291 z14_2_2253 z15_2_567
__________ __________ _________ _________ __________ __________ __________ __________ __________ __________ __________ _________
coh1:k=0.443648,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=0.543883,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh3:k=0.644119,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh4:k=0.744354,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh5:k=0.84459,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh6:k=0.944825,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh7:k=1.04506,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh8:k=1.1453,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh9:k=1.24553,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh10:k=1.34577,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh11:k=1.446,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh12:k=1.54624,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh13:k=1.64647,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh14:k=1.74671,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh15:k=1.84694,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh16:k=1.94718,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh17:k=2.04742,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh18:k=2.14765,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh19:k=2.24789,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh20:k=2.34812,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh21:k=2.44836,b=0 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh22:k=2.54859,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
coh23:k=2.64883,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204 1.0204 1.0204
coh24:k=2.74906,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 1.0204 1.0204
coh25:k=2.8493,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh26:k=2.94953,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh27:k=3.04977,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh28:k=3.15001,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh29:k=3.25024,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh30:k=3.35048,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh31:k=3.45071,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh32:k=3.55095,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh33:k=3.65118,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh34:k=3.75142,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh35:k=3.85165,b=0 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh36:k=3.95189,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh37:k=4.05212,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408 2.0408 2.0408
coh38:k=4.15236,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 2.0408 2.0408
coh39:k=4.2526,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh40:k=4.35283,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh41:k=4.45307,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh42:k=4.5533,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh43:k=4.65354,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh44:k=4.75377,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh45:k=4.85401,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh46:k=4.95424,b=0 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh47:k=5.05448,b=0 4.0816 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh48:k=5.15471,b=0 4.0816 4.0816 4.0816 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh49:k=5.25495,b=0 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612
coh50:k=5.35519,b=0 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 3.0612 3.0612 3.0612 3.0612
coh519:k=52.3656,b=0 47.959 47.959 47.959 47.959 46.939 46.939 46.939 46.939 46.939 46.939 46.939 46.939
coh520:k=52.4659,b=0 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939 46.939 46.939 46.939 46.939
coh521:k=52.5661,b=0 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939 46.939 46.939 46.939 46.939
coh522:k=52.6663,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939 46.939 46.939 46.939
coh523:k=52.7666,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939 46.939 46.939
coh524:k=52.8668,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939 46.939
coh525:k=52.967,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 46.939 46.939
coh526:k=53.0673,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 46.939
coh527:k=53.1675,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959
coh528:k=53.2677,b=0 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959
coh529:k=53.368,b=0 48.98 48.98 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959
coh530:k=53.4682,b=0 48.98 48.98 48.98 48.98 47.959 47.959 47.959 47.959 47.959 47.959 47.959 47.959
coh531:k=53.5684,b=0 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959 47.959 47.959 47.959 47.959
coh532:k=53.6687,b=0 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959 47.959 47.959 47.959 47.959
coh533:k=53.7689,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959 47.959 47.959 47.959
coh534:k=53.8691,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959 47.959 47.959
coh535:k=53.9694,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959 47.959
coh536:k=54.0696,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 47.959 47.959
coh537:k=54.1699,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 47.959
coh538:k=54.2701,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98
coh539:k=54.3703,b=0 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98
coh540:k=54.4706,b=0 50 50 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98 48.98
coh541:k=54.5708,b=0 50 50 50 50 50 48.98 48.98 48.98 48.98 48.98 48.98 48.98
coh542:k=54.671,b=0 50 50 50 50 50 50 48.98 48.98 48.98 48.98 48.98 48.98
coh543:k=54.7713,b=0 50 50 50 50 50 50 48.98 48.98 48.98 48.98 48.98 48.98
coh544:k=54.8715,b=0 50 50 50 50 50 50 50 48.98 48.98 48.98 48.98 48.98
coh545:k=54.9717,b=0 50 50 50 50 50 50 50 50 48.98 48.98 48.98 48.98
coh546:k=55.072,b=0 50 50 50 50 50 50 50 50 50 48.98 48.98 48.98
coh547:k=55.1722,b=0 50 50 50 50 50 50 50 50 50 50 48.98 48.98
coh548:k=55.2724,b=0 50 50 50 50 50 50 50 50 50 50 50 48.98
coh549:k=55.3727,b=0 50 50 50 50 50 50 50 50 50 50 50 48.98
coh550:k=55.4729,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh551:k=55.5732,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh552:k=55.6734,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh553:k=55.7736,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh554:k=55.8739,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh555:k=55.9741,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh556:k=56.0743,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh557:k=56.1746,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh558:k=56.2748,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh559:k=56.375,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh560:k=56.4753,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh561:k=56.5755,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh562:k=56.6757,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh563:k=56.776,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh564:k=56.8762,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh565:k=56.9764,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh566:k=57.0767,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh567:k=57.1769,b=0 50 50 50 50 50 50 50 50 50 50 50 50
coh568:k=57.2772,b=0 50 50 50 50 50 50 50 50 50 50 50 50
Display Various Containers
if (bl_display_defparam)
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: 41
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 = false
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_graph ; val = true
pos = 10 ; key = bl_graph_coh_t_coh ; val = true
pos = 11 ; key = bl_graph_evf ; val = false
pos = 12 ; key = bl_graph_funcgrids ; val = false
pos = 13 ; key = bl_graph_onebyones ; val = true
pos = 14 ; key = bl_graph_pol_lvl ; val = true
pos = 15 ; key = bl_graph_pol_pct ; val = true
pos = 16 ; key = bl_graph_val ; val = true
pos = 17 ; key = bl_img_save ; val = false
pos = 18 ; key = bl_mat ; val = false
pos = 19 ; key = bl_post ; val = true
pos = 20 ; key = bl_profile ; val = false
pos = 21 ; key = bl_profile_dist ; val = false
pos = 22 ; key = bl_time ; val = false
pos = 23 ; key = it_display_every ; val = 5
pos = 24 ; key = it_display_final_colmax ; val = 12
pos = 25 ; key = it_display_final_rowmax ; val = 100
pos = 26 ; key = it_display_summmat_colmax ; val = 7
pos = 27 ; key = it_display_summmat_rowmax ; val = 7
pos = 28 ; key = st_img_name_main ; val = ff_iwkz_vf_vecsv_default
pos = 29 ; key = st_img_path ; val = C:/Users/fan/CodeDynaAsset//m_akz//solve/img/
pos = 30 ; key = st_img_prefix ; val =
pos = 31 ; key = st_img_suffix ; val = _p4.png
pos = 32 ; key = st_mat_name_main ; val = ff_iwkz_vf_vecsv_default
pos = 33 ; key = st_mat_path ; val = C:/Users/fan/CodeDynaAsset//m_akz//solve/mat/
pos = 34 ; key = st_mat_prefix ; val =
pos = 35 ; key = st_mat_suffix ; val = _p4
pos = 36 ; key = st_matimg_path_root ; val = C:/Users/fan/CodeDynaAsset//m_akz/
pos = 37 ; key = st_profile_name_main ; val = ff_iwkz_vf_vecsv_default
pos = 38 ; key = st_profile_path ; val = C:/Users/fan/CodeDynaAsset//m_akz//solve/profile/
pos = 39 ; key = st_profile_prefix ; val =
pos = 40 ; key = st_profile_suffix ; val = _p4
pos = 41 ; 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 0
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_graph 9 9 1
bl_graph_coh_t_coh 10 10 1
bl_graph_evf 11 11 0
bl_graph_funcgrids 12 12 0
bl_graph_onebyones 13 13 1
bl_graph_pol_lvl 14 14 1
bl_graph_pol_pct 15 15 1
bl_graph_val 16 16 1
bl_img_save 17 17 0
bl_mat 18 18 0
bl_post 19 19 1
bl_profile 20 20 0
bl_profile_dist 21 21 0
bl_time 22 22 0
it_display_every 23 23 5
it_display_final_colmax 24 24 12
it_display_final_rowmax 25 25 100
it_display_summmat_colmax 26 26 7
it_display_summmat_rowmax 27 27 7
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Strings in Container and Sizes and Basic Statistics
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i idx
__ ___
st_img_name_main 1 28
st_img_path 2 29
st_img_prefix 3 30
st_img_suffix 4 31
st_mat_name_main 5 32
st_mat_path 6 33
st_mat_prefix 7 34
st_mat_suffix 8 35
st_matimg_path_root 9 36
st_profile_name_main 10 37
st_profile_path 11 38
st_profile_prefix 12 39
st_profile_suffix 13 40
st_title_prefix 14 41
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
----------------------------------------
Map with properties:
Count: 17
KeyType: char
ValueType: any
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pos = 1 ; key = ar_a_meshk ;rown= 568 ,coln= 1
ar_a_meshk :mu= 28.8604 ,sd= 16.4498 ,min= 0.44365 ,max= 57.2772
zi_1_c1
_______
zi_1_R1 0.44365
zi_2_R2 0.54388
zi_3_R3 0.64412
zi_284_r284 28.81
zi_566_r566 57.077
zi_567_r567 57.177
zi_568_r568 57.277
pos = 2 ; key = ar_a_mw_wth_na ;rown= 2500 ,coln= 1
ar_a_mw_wth_na :mu= NaN ,sd= NaN ,min= 0 ,max= 50
zi_1_c1
_______
zi_1_R1 0
zi_2_R2 NaN
zi_3_R3 NaN
zi_1250_r1250 NaN
zi_2498_r2498 2.0408
zi_2499_r2499 1.0204
zi_2500_r2500 0
pos = 3 ; key = ar_interp_c_grid ;rown= 1 ,coln= 572761
ar_interp_c_grid :mu= 28.6391 ,sd= 16.5342 ,min= 0.001 ,max= 57.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_286381_c286381 zi_572759_c572759 zi_572760_c572760 zi_572761_c572761
_______ _______ _______ _________________ _________________ _________________ _________________
zi_1_r1 0.001 0.0011 0.0012 28.639 57.277 57.277 57.277
pos = 4 ; key = ar_interp_coh_grid ;rown= 1 ,coln= 568
ar_interp_coh_grid :mu= 28.8604 ,sd= 16.4498 ,min= 0.44365 ,max= 57.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_284_c284 zi_566_c566 zi_567_c567 zi_568_c568
_______ _______ _______ ___________ ___________ ___________ ___________
zi_1_r1 0.44365 0.54388 0.64412 28.81 57.077 57.177 57.277
pos = 5 ; key = ar_k ;rown= 1 ,coln= 50
ar_k :mu= 25 ,sd= 14.8749 ,min= 0 ,max= 50
zi_1_C1 zi_2_C2 zi_3_C3 zi_25_c25 zi_48_c48 zi_49_c49 zi_50_c50
_______ _______ _______ _________ _________ _________ _________
zi_1_r1 0 1.0204 2.0408 24.49 47.959 48.98 50
pos = 6 ; key = ar_k_mesha ;rown= 568 ,coln= 1
ar_k_mesha :mu= 0 ,sd= 0 ,min= 0 ,max= 0
zi_1_c1
_______
zi_1_R1 0
zi_2_R2 0
zi_3_R3 0
zi_284_r284 0
zi_566_r566 0
zi_567_r567 0
zi_568_r568 0
pos = 7 ; key = ar_k_mw_wth_na ;rown= 2500 ,coln= 1
ar_k_mw_wth_na :mu= NaN ,sd= NaN ,min= 0 ,max= 50
zi_1_c1
_______
zi_1_R1 0
zi_2_R2 NaN
zi_3_R3 NaN
zi_1250_r1250 NaN
zi_2498_r2498 47.959
zi_2499_r2499 48.98
zi_2500_r2500 50
pos = 8 ; key = ar_stationary ;rown= 1 ,coln= 15
ar_stationary :mu= 0.066667 ,sd= 0.060897 ,min= 0.0027089 ,max= 0.16757
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_________ _________ ________ _______ _________ _________ _________
zi_1_r1 0.0027089 0.0069499 0.018507 0.16757 0.018507 0.0069499 0.0027089
pos = 9 ; key = ar_w ;rown= 1 ,coln= 50
ar_w :mu= 25 ,sd= 14.8749 ,min= 0 ,max= 50
zi_1_C1 zi_2_C2 zi_3_C3 zi_25_c25 zi_48_c48 zi_49_c49 zi_50_c50
_______ _______ _______ _________ _________ _________ _________
zi_1_r1 0 1.0204 2.0408 24.49 47.959 48.98 50
pos = 10 ; key = ar_z ;rown= 1 ,coln= 15
ar_z :mu= 1.1347 ,sd= 0.69878 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_r1 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
pos = 11 ; key = it_ameshk_n ; val = 568
pos = 12 ; key = mt_coh_wkb ;rown= 568 ,coln= 15
mt_coh_wkb :mu= 28.8604 ,sd= 16.4363 ,min= 0.44365 ,max= 57.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365
zi_2_R2 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388
zi_3_R3 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412
zi_284_r284 28.81 28.81 28.81 28.81 28.81 28.81 28.81
zi_566_r566 57.077 57.077 57.077 57.077 57.077 57.077 57.077
zi_567_r567 57.177 57.177 57.177 57.177 57.177 57.177 57.177
zi_568_r568 57.277 57.277 57.277 57.277 57.277 57.277 57.277
pos = 13 ; key = mt_interp_coh_grid_mesh_z ;rown= 568 ,coln= 15
mt_interp_coh_grid_mesh_z :mu= 28.8604 ,sd= 16.4363 ,min= 0.44365 ,max= 57.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365
zi_2_R2 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388
zi_3_R3 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412
zi_284_r284 28.81 28.81 28.81 28.81 28.81 28.81 28.81
zi_566_r566 57.077 57.077 57.077 57.077 57.077 57.077 57.077
zi_567_r567 57.177 57.177 57.177 57.177 57.177 57.177 57.177
zi_568_r568 57.277 57.277 57.277 57.277 57.277 57.277 57.277
pos = 14 ; key = mt_k_wth_na ;rown= 50 ,coln= 50
mt_k_wth_na :mu= NaN ,sd= NaN ,min= 0 ,max= 50
zi_1_C1 zi_2_C2 zi_3_C3 zi_25_c25 zi_48_c48 zi_49_c49 zi_50_c50
_______ _______ _______ _________ _________ _________ _________
zi_1_R1 0 0 0 0 0 0 0
zi_2_R2 NaN 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204
zi_3_R3 NaN NaN 2.0408 2.0408 2.0408 2.0408 2.0408
zi_25_r25 NaN NaN NaN 24.49 24.49 24.49 24.49
zi_48_r48 NaN NaN NaN NaN 47.959 47.959 47.959
zi_49_r49 NaN NaN NaN NaN NaN 48.98 48.98
zi_50_r50 NaN NaN NaN NaN NaN NaN 50
pos = 15 ; key = mt_z_mesh_coh_interp_grid ;rown= 568 ,coln= 15
mt_z_mesh_coh_interp_grid :mu= 1.1347 ,sd= 0.67512 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_2_R2 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_3_R3 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_284_r284 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_566_r566 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_567_r567 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_568_r568 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
pos = 16 ; key = mt_z_mesh_coh_wkb ;rown= 1275 ,coln= 15
mt_z_mesh_coh_wkb :mu= 1.1347 ,sd= 0.6751 ,min= 0.34741 ,max= 2.567
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_2_R2 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_3_R3 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_638_R638 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_1273_r1273 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_1274_r1274 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
zi_1275_r1275 0.34741 0.40076 0.4623 0.94436 1.9291 2.2253 2.567
pos = 17 ; key = mt_z_trans ;rown= 15 ,coln= 15
mt_z_trans :mu= 0.066667 ,sd= 0.095337 ,min= 0 ,max= 0.27902
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
__________ __________ __________ __________ __________ __________ __________
zi_1_R1 0.26016 0.26831 0.25551 0.00012823 2.7001e-13 1.1102e-15 0
zi_2_R2 0.11232 0.19622 0.2763 0.00098855 1.5289e-11 9.3592e-14 3.3307e-16
zi_3_R3 0.037073 0.10492 0.2185 0.0055558 6.2811e-10 5.7438e-12 3.1863e-14
zi_8_R8 1.7181e-06 4.1008e-05 0.00061112 0.27902 0.00061112 4.1008e-05 1.7181e-06
zi_13_r13 3.1909e-14 5.7438e-12 6.2811e-10 0.0055558 0.2185 0.10492 0.037073
zi_14_r14 3.474e-16 9.3597e-14 1.5289e-11 0.00098855 0.2763 0.19622 0.11232
zi_15_r15 2.7412e-18 1.1057e-15 2.6998e-13 0.00012823 0.25551 0.26831 0.26016
----------------------------------------
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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 1 568 1 28.86 16.45 0.44365 57.277
ar_a_mw_wth_na 2 2 2500 1 NaN NaN 0 50
ar_interp_c_grid 3 3 1 5.7276e+05 28.639 16.534 0.001 57.277
ar_interp_coh_grid 4 4 1 568 28.86 16.45 0.44365 57.277
ar_k 5 5 1 50 25 14.875 0 50
ar_k_mesha 6 6 568 1 0 0 0 0
ar_k_mw_wth_na 7 7 2500 1 NaN NaN 0 50
ar_stationary 8 8 1 15 0.066667 0.060897 0.0027089 0.16757
ar_w 9 9 1 50 25 14.875 0 50
ar_z 10 10 1 15 1.1347 0.69878 0.34741 2.567
mt_coh_wkb 11 12 568 15 28.86 16.436 0.44365 57.277
mt_interp_coh_grid_mesh_z 12 13 568 15 28.86 16.436 0.44365 57.277
mt_k_wth_na 13 14 50 50 NaN NaN 0 50
mt_z_mesh_coh_interp_grid 14 15 568 15 1.1347 0.67512 0.34741 2.567
mt_z_mesh_coh_wkb 15 16 1275 15 1.1347 0.6751 0.34741 2.567
mt_z_trans 16 17 15 15 0.066667 0.095337 0 0.27902
----------------------------------------
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Scalars in Container and Sizes and Basic Statistics
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i idx value
_ ___ _____
it_ameshk_n 1 11 568
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
----------------------------------------
Map with properties:
Count: 32
KeyType: char
ValueType: any
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pos = 1 ; key = bl_default ; val = 0
pos = 2 ; key = fl_Amean ; val = 1
pos = 3 ; key = fl_alpha ; val = 0.36
pos = 4 ; key = fl_b_bd ; val = 0
pos = 5 ; key = fl_beta ; val = 0.94
pos = 6 ; key = fl_c_min ; val = 0.001
pos = 7 ; key = fl_coh_interp_grid_gap ; val = 0.1
pos = 8 ; key = fl_crra ; val = 1.5
pos = 9 ; key = fl_default_aprime ; val = 0
pos = 10 ; key = fl_delta ; val = 0.08
pos = 11 ; key = fl_k_min ; val = 0
pos = 12 ; key = fl_nan_replace ; val = -9999
pos = 13 ; key = fl_r_borr ; val = 0.025
pos = 14 ; key = fl_r_save ; val = 0.025
pos = 15 ; key = fl_tol_dist ; val = 1e-05
pos = 16 ; key = fl_tol_pol ; val = 1e-05
pos = 17 ; key = fl_tol_val ; val = 1e-05
pos = 18 ; key = fl_w ; val = 0.44365
pos = 19 ; key = fl_w_max ; val = 50
pos = 20 ; key = fl_z_mu ; val = 0
pos = 21 ; key = fl_z_rho ; val = 0.8
pos = 22 ; key = fl_z_sig ; val = 0.2
pos = 23 ; key = it_ak_n ; val = 50
pos = 24 ; key = it_c_interp_grid_gap ; val = 0.0001
pos = 25 ; key = it_maxiter_dist ; val = 1000
pos = 26 ; key = it_maxiter_val ; val = 250
pos = 27 ; key = it_tol_pol_nochange ; val = 25
pos = 28 ; key = it_trans_power_dist ; val = 1000
pos = 29 ; key = it_w_n ; val = 50
pos = 30 ; key = it_z_n ; val = 15
pos = 31 ; key = st_analytical_stationary_type ; val = eigenvector
pos = 32 ; key = st_model ; val = akz_wkz_iwkz
----------------------------------------
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _______
bl_default 1 1 0
fl_Amean 2 2 1
fl_alpha 3 3 0.36
fl_b_bd 4 4 0
fl_beta 5 5 0.94
fl_c_min 6 6 0.001
fl_coh_interp_grid_gap 7 7 0.1
fl_crra 8 8 1.5
fl_default_aprime 9 9 0
fl_delta 10 10 0.08
fl_k_min 11 11 0
fl_nan_replace 12 12 -9999
fl_r_borr 13 13 0.025
fl_r_save 14 14 0.025
fl_tol_dist 15 15 1e-05
fl_tol_pol 16 16 1e-05
fl_tol_val 17 17 1e-05
fl_w 18 18 0.44365
fl_w_max 19 19 50
fl_z_mu 20 20 0
fl_z_rho 21 21 0.8
fl_z_sig 22 22 0.2
it_ak_n 23 23 50
it_c_interp_grid_gap 24 24 0.0001
it_maxiter_dist 25 25 1000
it_maxiter_val 26 26 250
it_tol_pol_nochange 27 27 25
it_trans_power_dist 28 28 1000
it_w_n 29 29 50
it_z_n 30 30 15
----------------------------------------
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Strings in Container and Sizes and Basic Statistics
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i idx
_ ___
st_analytical_stationary_type 1 31
st_model 2 32
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
----------------------------------------
Map with properties:
Count: 7
KeyType: char
ValueType: any
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pos = 1 ; key = f_coh ; val = @(z,b,k)(f_prod(z,k)+k*(1-fl_delta)+fl_w+b.*(1+fl_r_save).*(b>0)+b.*(1+fl_r_borr).*(b<=0))
pos = 2 ; key = f_cons ; val = @(coh,bprime,kprime)(coh-kprime-bprime)
pos = 3 ; key = f_inc ; val = @(z,b,k)(f_prod(z,k)-(fl_delta)*k+fl_w+b.*(fl_r_save).*(b>0)+b.*(fl_r_borr).*(b<=0))
pos = 4 ; key = f_prod ; val = @(z,k)((fl_Amean.*(z)).*(k.^(fl_alpha)))
pos = 5 ; key = f_util_crra ; val = @(c)(((c).^(1-fl_crra)-1)./(1-fl_crra))
pos = 6 ; key = f_util_log ; val = @(c)log(c)
pos = 7 ; key = f_util_standin ; val = @(z,b,k)f_util_log(f_coh(z,b,k).*(f_coh(z,b,k)>0)+fl_c_min.*(f_coh(z,b,k)<=0))
----------------------------------------
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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_cons 2 2 2
f_inc 3 3 3
f_prod 4 4 4
f_util_crra 5 5 5
f_util_log 6 6 6
f_util_standin 7 7 7
Display 5 result_map
fft_container_map_display(result_map, it_display_summmat_rowmax, it_display_summmat_colmax);
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Begin: Show all key and value pairs from container
CONTAINER NAME: RESULT_MAP
----------------------------------------
Map with properties:
Count: 14
KeyType: char
ValueType: any
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pos = 1 ; key = ar_pol_diff_norm ;rown= 110 ,coln= 1
ar_pol_diff_norm :mu= 34.0952 ,sd= 167.118 ,min= 0 ,max= 1643.1596
zi_1_c1
_______
zi_1_R1 184.61
zi_2_R2 1643.2
zi_3_R3 546.99
zi_55_R55 1.0204
zi_108_r108 0
zi_109_r109 0
zi_110_r110 0
pos = 2 ; key = ar_st_pol_names ; val = cl_mt_coh cl_mt_pol_a cl_mt_pol_k cl_mt_pol_c
pos = 3 ; key = ar_val_diff_norm ;rown= 110 ,coln= 1
ar_val_diff_norm :mu= 10.7296 ,sd= 23.3812 ,min= 0.041929 ,max= 142.9489
zi_1_c1
________
zi_1_R1 142.95
zi_2_R2 111
zi_3_R3 92.611
zi_55_R55 1.2869
zi_108_r108 0.047454
zi_109_r109 0.044606
zi_110_r110 0.041929
pos = 4 ; key = cl_mt_coh ;rown= 568 ,coln= 15
cl_mt_coh :mu= 28.8604 ,sd= 16.4363 ,min= 0.44365 ,max= 57.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365
zi_2_R2 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388
zi_3_R3 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412
zi_284_r284 28.81 28.81 28.81 28.81 28.81 28.81 28.81
zi_566_r566 57.077 57.077 57.077 57.077 57.077 57.077 57.077
zi_567_r567 57.177 57.177 57.177 57.177 57.177 57.177 57.177
zi_568_r568 57.277 57.277 57.277 57.277 57.277 57.277 57.277
pos = 5 ; key = cl_mt_cons ;rown= 568 ,coln= 15
cl_mt_cons :mu= 3.6107 ,sd= 1.3536 ,min= 0.024653 ,max= 7.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365
zi_2_R2 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388
zi_3_R3 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412
zi_284_r284 3.3001 3.3001 3.3001 3.3001 4.3205 4.3205 4.3205
zi_566_r566 7.0767 7.0767 7.0767 7.0767 7.0767 7.0767 7.0767
zi_567_r567 7.1769 7.1769 7.1769 7.1769 7.1769 7.1769 7.1769
zi_568_r568 7.2772 7.2772 7.2772 7.2772 7.2772 7.2772 7.2772
pos = 6 ; key = cl_mt_pol_a ;rown= 568 ,coln= 15
cl_mt_pol_a :mu= 18.0175 ,sd= 14.6604 ,min= 0 ,max= 47.9592
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0 0 0 0 0 0 0
zi_2_R2 0 0 0 0 0 0 0
zi_3_R3 0 0 0 0 0 0 0
zi_284_r284 23.469 23.469 22.449 19.388 9.1837 6.1224 3.0612
zi_566_r566 47.959 47.959 46.939 43.878 34.694 31.633 28.571
zi_567_r567 47.959 47.959 46.939 43.878 34.694 31.633 28.571
zi_568_r568 47.959 47.959 46.939 43.878 34.694 31.633 28.571
pos = 7 ; key = cl_mt_pol_c ;rown= 568 ,coln= 15
cl_mt_pol_c :mu= 3.6107 ,sd= 1.3536 ,min= 0.024653 ,max= 7.2772
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365 0.44365
zi_2_R2 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388 0.54388
zi_3_R3 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412 0.64412
zi_284_r284 3.3001 3.3001 3.3001 3.3001 4.3205 4.3205 4.3205
zi_566_r566 7.0767 7.0767 7.0767 7.0767 7.0767 7.0767 7.0767
zi_567_r567 7.1769 7.1769 7.1769 7.1769 7.1769 7.1769 7.1769
zi_568_r568 7.2772 7.2772 7.2772 7.2772 7.2772 7.2772 7.2772
pos = 8 ; key = cl_mt_pol_k ;rown= 568 ,coln= 15
cl_mt_pol_k :mu= 7.2322 ,sd= 5.5189 ,min= 0 ,max= 22.449
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0 0 0 0 0 0 0
zi_2_R2 0 0 0 0 0 0 0
zi_3_R3 0 0 0 0 0 0 0
zi_284_r284 2.0408 2.0408 3.0612 6.1224 15.306 18.367 21.429
zi_566_r566 2.0408 2.0408 3.0612 6.1224 15.306 18.367 21.429
zi_567_r567 2.0408 2.0408 3.0612 6.1224 15.306 18.367 21.429
zi_568_r568 2.0408 2.0408 3.0612 6.1224 15.306 18.367 21.429
pos = 9 ; key = mt_pol_idx ;rown= 568 ,coln= 15
mt_pol_idx :mu= 25.7447 ,sd= 14.8708 ,min= 1 ,max= 50
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 1 1 1 1 1 1 1
zi_2_R2 1 1 1 1 1 1 1
zi_3_R3 1 1 1 1 1 1 1
zi_284_r284 26 26 26 26 25 25 25
zi_566_r566 50 50 50 50 50 50 50
zi_567_r567 50 50 50 50 50 50 50
zi_568_r568 50 50 50 50 50 50 50
pos = 10 ; key = mt_pol_perc_change ;rown= 110 ,coln= 15
mt_pol_perc_change :mu= 0.054135 ,sd= 0.15854 ,min= 0 ,max= 1
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ __________ __________ __________ _________
zi_1_R1 1 1 1 1 1 1 1
zi_2_R2 0.9419 0.94102 0.92165 0.86092 0.67958 0.6206 0.55986
zi_3_R3 0.64789 0.64789 0.51408 0.57746 0.5713 0.53169 0.54577
zi_55_R55 0 0 0 0.00088028 0.00088028 0.00088028 0
zi_108_r108 0 0 0 0 0 0 0
zi_109_r109 0 0 0 0 0 0 0
zi_110_r110 0 0 0 0 0 0 0
pos = 11 ; key = mt_val ;rown= 568 ,coln= 15
mt_val :mu= 11.9863 ,sd= 4.2293 ,min= -16.6941 ,max= 16.6028
zi_1_C1 zi_2_C2 zi_3_C3 zi_8_C8 zi_13_c13 zi_14_c14 zi_15_c15
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694
zi_2_R2 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403
zi_3_R3 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183
zi_284_r284 12.123 12.198 12.284 12.85 13.689 13.889 14.084
zi_566_r566 15.412 15.455 15.505 15.841 16.35 16.473 16.592
zi_567_r567 15.417 15.46 15.51 15.847 16.355 16.478 16.598
zi_568_r568 15.422 15.465 15.516 15.852 16.361 16.483 16.603
pos = 12 ; key = tb_pol_a ;rown= 100 ,coln= 12
tb_pol_a :mu= 20.1259 ,sd= 20.6339 ,min= 0 ,max= 47.9592
zi_1_C1 zi_2_C2 zi_3_C3 zi_6_C6 zi_10_c10 zi_11_c11 zi_12_c12
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 0 0 0 0 0 0 0
zi_2_R2 0 0 0 0 0 0 0
zi_3_R3 0 0 0 0 0 0 0
zi_50_R50 2.0408 2.0408 1.0204 0 0 0 0
zi_98_R98 47.959 47.959 46.939 44.898 34.694 31.633 28.571
zi_99_R99 47.959 47.959 46.939 44.898 34.694 31.633 28.571
zi_100_r100 47.959 47.959 46.939 44.898 34.694 31.633 28.571
pos = 13 ; key = tb_val ;rown= 100 ,coln= 12
tb_val :mu= 9.3808 ,sd= 8.3155 ,min= -16.6941 ,max= 16.6028
zi_1_C1 zi_2_C2 zi_3_C3 zi_6_C6 zi_10_c10 zi_11_c11 zi_12_c12
_______ _______ _______ _______ _________ _________ _________
zi_1_R1 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694 -16.694
zi_2_R2 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403 -16.403
zi_3_R3 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183 -16.183
zi_50_R50 5.4091 5.6303 5.8833 6.7563 9.0401 9.3952 9.7259
zi_98_R98 15.412 15.455 15.505 15.689 16.35 16.473 16.592
zi_99_R99 15.417 15.46 15.51 15.695 16.355 16.478 16.598
zi_100_r100 15.422 15.465 15.516 15.7 16.361 16.483 16.603
pos = 14 ; key = tb_valpol_alliter ;rown= 100 ,coln= 17
tb_valpol_alliter :mu= 2.9332 ,sd= 43.5993 ,min= 0 ,max= 1643.1596
zi_1_C1 zi_2_C2 zi_3_C3 zi_9_C9 zi_15_c15 zi_16_c16 zi_17_c17
________ _______ __________ __________ _________ __________ __________
zi_1_R1 142.95 184.61 1 1 1 1 1
zi_2_R2 111 1643.2 0.9419 0.88028 0.67958 0.6206 0.55986
zi_3_R3 92.611 546.99 0.64789 0.62764 0.5713 0.53169 0.54577
zi_50_R50 1.7728 1.0204 0.00088028 0.00088028 0 0.00088028 0.00088028
zi_98_R98 0.047454 0 0 0 0 0 0
zi_99_R99 0.044606 0 0 0 0 0 0
zi_100_r100 0.041929 0 0 0 0 0 0
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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_pol_diff_norm 1 1 110 1 34.095 167.12 0 1643.2
ar_val_diff_norm 2 3 110 1 10.73 23.381 0.041929 142.95
cl_mt_coh 3 4 568 15 28.86 16.436 0.44365 57.277
cl_mt_cons 4 5 568 15 3.6107 1.3536 0.024653 7.2772
cl_mt_pol_a 5 6 568 15 18.018 14.66 0 47.959
cl_mt_pol_c 6 7 568 15 3.6107 1.3536 0.024653 7.2772
cl_mt_pol_k 7 8 568 15 7.2322 5.5189 0 22.449
mt_pol_idx 8 9 568 15 25.745 14.871 1 50
mt_pol_perc_change 9 10 110 15 0.054135 0.15854 0 1
mt_val 10 11 568 15 11.986 4.2293 -16.694 16.603
tb_pol_a 11 12 100 12 20.126 20.634 0 47.959
tb_val 12 13 100 12 9.3808 8.3155 -16.694 16.603
tb_valpol_alliter 13 14 100 17 2.9332 43.599 0 1643.2
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Strings in Container and Sizes and Basic Statistics
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i idx
_ ___
ar_st_pol_names 1 2
end
end
ans =
Map with properties:
Count: 14
KeyType: char
ValueType: any