Risky + Safe Asset Dyna Prog Two-Step Solution (Optimized-Vectorized)
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Contents
- FF_WKZ_VF_VECSV solve infinite horizon exo shock + endo asset problem
- Default
- Parse Parameters 1
- Parse Parameters 2
- Initialize Output Matrixes
- Initialize Convergence Conditions
- Iterate Value Function
- Solve Second Stage Problem k*(w,z)
- Find which k choice differ across iterations?
- Solve First Stage Problem w*(z) given k*(w,z)
- Obtain Choice Index for Vectorized/Analytical Distribution Programs
- Check Tolerance and Continuation
- Process Optimal Choices
function result_map = ff_wkz_vf_vecsv(varargin)
FF_WKZ_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_wkz_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
@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_z_n') = 15; % get armt and func map [armt_map, func_map] = ffs_akz_get_funcgrid(param_map, support_map, bl_input_override); % 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 bl_input_override = true; [armt_map, func_map] = ffs_akz_get_funcgrid(param_map, support_map, bl_input_override); 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_wkz_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_a_meshk', 'ar_k_mesha', 'mt_coh_wkb', 'it_ameshk_n'}); [ar_a_meshk, ar_k_mesha, mt_coh_wkb, it_ameshk_n] = 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', 'it_display_every', 'bl_post'}); [bl_profile, st_profile_path, ... st_profile_prefix, st_profile_name_main, st_profile_suffix, ... bl_time, bl_display, it_display_every, bl_post] = params_group{:};
Initialize Output Matrixes
mt_val_cur = zeros(length(ar_a_meshk),length(ar_z)); mt_val = mt_val_cur - 1; mt_pol_a = zeros(length(ar_a_meshk),length(ar_z)); mt_pol_a_cur = mt_pol_a - 1; mt_pol_k = zeros(length(ar_a_meshk),length(ar_z)); mt_pol_k_cur = mt_pol_k - 1; mt_pol_idx = zeros(length(ar_a_meshk),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]);
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;
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 Across iterations, only some k*(w,z) is changing, we only update consumption matrix when k*(w,z) is changing note in ff_wkz_evf a = b
bl_input_override = true;
[mt_ev_condi_z_max, ~, mt_ev_condi_z_max_kp, mt_ev_condi_z_max_bp] = ...
ff_wkz_evf(mt_val_cur, param_map, support_map, armt_map, bl_input_override);
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_coh_wkb(:,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); % EVAL current utility: N by N, f_util defined earlier if (fl_crra == 1) mt_utility_update = f_util_log(mt_c); fl_u_neg_c = f_util_log(fl_c_min); else mt_utility_update = f_util_crra(mt_c); fl_u_neg_c = f_util_crra(fl_c_min); end % Eliminate Complex Numbers mt_it_c_valid_idx = (mt_c <= fl_c_min); mt_utility_update(mt_it_c_valid_idx) = fl_u_neg_c; % 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);
Obtain Choice Index for Vectorized/Analytical Distribution Programs
For deriving distributions using vectorized and semi-analytical methods, at convergence, what index do optimal choices correspond to in terms of the rows of mt_val and mt_pol_a, and mt_pol_k. For the LHS matrixes here, each column a different optimal choice, each row a different element of the a_meshk and k_mesha vectors. For each column (one optimal choice), which row has that optimal choice's k' and b' values. Note the code is shorter than code in ff_wkz_vf_vec.
if (it_iter == (it_maxiter_val + 1)) [~, ar_opti_fullakvec_idx_z] = max((ar_a_meshk == mt_pol_a(:,it_z_i)').*(ar_k_mesha == mt_pol_k(:,it_z_i)')); mt_pol_idx(:,it_z_i) = ar_opti_fullakvec_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))/(it_ameshk_n); ar_pol_k_perc_change = sum((mt_pol_k ~= mt_pol_k_cur))/(it_ameshk_n); 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(it_ameshk_n,:); ... mt_pol_a_cur(it_ameshk_n,:); ... mt_pol_k_cur(it_ameshk_n,:)]); 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_pol_coh') = {mt_coh_wkb, 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_coh_wkb, mt_pol_a, mt_pol_k), zeros(1)}; result_map('ar_st_pol_names') = ["cl_mt_pol_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, :); 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=1 227.04 276.59 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
iter=2 179.64 2790.4 0.99137 0.99137 0.98549 0.98549 0.97804 0.97804 0.96902 0.95804 0.94588 0.92039 0.88745 0.84824 0.80157 0.72 0.63529
iter=3 151.16 920.98 0.65176 0.65098 0.52314 0.52275 0.61882 0.62196 0.71686 0.62275 0.89216 0.51608 0.69725 0.54235 0.63294 0.5949 0.62627
iter=4 130.1 448.85 0.57725 0.57922 0.49608 0.49608 0.55608 0.57137 0.6251 0.52157 0.78431 0.48863 0.63765 0.50039 0.59569 0.50784 0.51647
iter=5 113.5 266.36 0.53608 0.53569 0.4749 0.47529 0.55882 0.59333 0.58627 0.49137 0.71569 0.47176 0.56196 0.48588 0.51529 0.47686 0.48863
iter=6 99.938 188.1 0.46471 0.46471 0.42588 0.42549 0.46627 0.5 0.54431 0.44627 0.73922 0.43647 0.54745 0.46471 0.47412 0.44902 0.45412
iter=7 88.609 140.12 0.37294 0.37569 0.35176 0.35412 0.39608 0.43098 0.46471 0.37333 0.62392 0.37647 0.50431 0.40941 0.41451 0.40314 0.40824
iter=8 79 120.94 0.27137 0.27412 0.26275 0.2651 0.28627 0.33098 0.32745 0.28588 0.73373 0.29059 0.42902 0.34549 0.33255 0.3298 0.33569
iter=9 70.745 98.728 0.2051 0.20667 0.20078 0.2051 0.22235 0.26471 0.26 0.21529 0.72157 0.21961 0.36275 0.3102 0.25176 0.25294 0.27059
iter=10 63.581 88.163 0.16118 0.16431 0.15412 0.15686 0.1698 0.21098 0.20275 0.17725 0.69804 0.17804 0.27686 0.32588 0.20471 0.21725 0.21922
iter=11 57.334 71.859 0.13059 0.12863 0.12431 0.12431 0.13255 0.16235 0.15529 0.13137 0.61412 0.14353 0.25412 0.26549 0.16431 0.16392 0.17216
iter=12 51.832 69.137 0.098431 0.10039 0.096863 0.096078 0.10902 0.12314 0.13569 0.12431 0.57569 0.11725 0.20902 0.21451 0.13451 0.14941 0.15333
iter=13 46.97 54.289 0.086275 0.086275 0.083529 0.086275 0.093725 0.12431 0.11059 0.092157 0.43373 0.094902 0.16745 0.18824 0.11882 0.10941 0.12196
iter=14 42.649 50.95 0.074118 0.074902 0.071765 0.072941 0.080784 0.13922 0.087059 0.07451 0.42902 0.082353 0.12784 0.11647 0.097255 0.099216 0.10039
iter=15 38.799 44.356 0.056471 0.055686 0.05451 0.055294 0.064314 0.20196 0.073725 0.071373 0.29569 0.073725 0.15098 0.083137 0.072549 0.090588 0.094118
iter=16 35.368 47.104 0.047451 0.049412 0.045882 0.047843 0.051765 0.23922 0.067451 0.065882 0.32314 0.060784 0.15451 0.094902 0.069804 0.072549 0.086275
iter=17 32.283 40.36 0.042353 0.043529 0.043137 0.042353 0.047059 0.25137 0.058039 0.052941 0.22431 0.049804 0.12667 0.088627 0.060784 0.061176 0.061569
iter=18 29.497 32.552 0.040784 0.040392 0.035686 0.041176 0.041569 0.13647 0.04902 0.042353 0.19529 0.042745 0.1302 0.088235 0.058039 0.051765 0.053333
iter=19 26.977 34.912 0.034118 0.033725 0.038431 0.035686 0.039216 0.11608 0.041961 0.035686 0.21686 0.039608 0.11961 0.057647 0.056471 0.045098 0.04902
iter=20 24.704 35.339 0.026275 0.031373 0.027451 0.030588 0.03098 0.19216 0.033333 0.027843 0.21529 0.034902 0.074902 0.040392 0.04 0.045098 0.063529
iter=21 22.656 25.724 0.026275 0.024706 0.024706 0.024706 0.023529 0.1102 0.026275 0.027059 0.12745 0.034902 0.049804 0.04902 0.032157 0.043529 0.081961
iter=22 20.807 24.188 0.019216 0.018431 0.020392 0.016863 0.021176 0.06902 0.025098 0.023922 0.1098 0.028627 0.083922 0.031765 0.027059 0.038431 0.08
iter=23 19.13 28.633 0.018824 0.017647 0.016863 0.019608 0.018824 0.10941 0.021569 0.021176 0.15098 0.021569 0.089804 0.038824 0.025098 0.02902 0.073333
iter=24 17.602 21.949 0.013725 0.016863 0.014902 0.014118 0.016863 0.087843 0.021961 0.018824 0.092549 0.02 0.087451 0.03451 0.021176 0.021961 0.065098
iter=25 16.207 24.666 0.014902 0.013333 0.013725 0.014118 0.013725 0.10863 0.01451 0.017255 0.11686 0.019216 0.043529 0.031373 0.022745 0.021569 0.043137
iter=26 14.932 25.232 0.011373 0.010588 0.012941 0.012549 0.016471 0.070588 0.016863 0.016078 0.12353 0.012941 0.036078 0.039216 0.016863 0.018431 0.061961
iter=27 13.764 21.592 0.01098 0.013333 0.0090196 0.011373 0.012157 0.089412 0.015294 0.014902 0.055686 0.012549 0.04 0.019216 0.016863 0.015294 0.061961
iter=28 12.694 21.639 0.0090196 0.010588 0.010196 0.010588 0.012941 0.087451 0.012941 0.01451 0.089412 0.011765 0.041176 0.014118 0.015686 0.01451 0.038039
iter=29 11.714 23.752 0.0086275 0.0082353 0.0082353 0.0070588 0.0098039 0.072157 0.012941 0.011765 0.10549 0.012549 0.033333 0.01451 0.016078 0.011765 0.062745
iter=30 10.819 19.707 0.0070588 0.0062745 0.0078431 0.007451 0.0070588 0.072941 0.010588 0.012549 0.013333 0.0098039 0.014118 0.011373 0.01451 0.01098 0.038431
iter=31 10.001 20.629 0.0078431 0.005098 0.0047059 0.0082353 0.0058824 0.065098 0.0078431 0.0094118 0.081569 0.0082353 0.011765 0.011373 0.01098 0.012549 0.037255
iter=32 9.2538 18.997 0.0039216 0.0058824 0.0058824 0.0035294 0.010196 0.027451 0.010588 0.0082353 0.070196 0.0094118 0.0094118 0.021569 0.013333 0.010196 0.037647
iter=33 8.5706 18.069 0.0043137 0.0047059 0.0023529 0.0054902 0.0043137 0.044314 0.0062745 0.0054902 0.033725 0.0078431 0.010196 0.0070588 0.011765 0.0090196 0.061569
iter=34 7.9453 10.089 0.0031373 0.0047059 0.007451 0.0062745 0.0035294 0.0070588 0.0062745 0.0047059 0.019608 0.0035294 0.0086275 0.0066667 0.010196 0.0098039 0.0094118
iter=35 7.3729 16.84 0.0027451 0.0031373 0.0023529 0.0027451 0.0058824 0.032157 0.0070588 0.0054902 0.05451 0.0066667 0.0062745 0.007451 0.0070588 0.0090196 0.037647
iter=36 6.8481 13.579 0.0039216 0.0027451 0.0019608 0.0015686 0.0043137 0.027451 0.0043137 0.0039216 0.0031373 0.005098 0.0094118 0.0039216 0.0090196 0.005098 0.034902
iter=37 6.3662 14.429 0.0015686 0.0027451 0.0035294 0.0039216 0.0019608 0.020392 0.0062745 0.0023529 0.039216 0.0031373 0.0043137 0.020392 0.0047059 0.007451 0.034118
iter=38 5.923 4.8384 0.0023529 0.0015686 0 0.0019608 0.0019608 0.0031373 0.0031373 0.0035294 0.0023529 0.0035294 0.0043137 0.0023529 0.0054902 0.0043137 0.0035294
iter=39 5.515 13.871 0.00078431 0.00078431 0.0031373 0.00039216 0.0035294 0.0031373 0.0023529 0.0019608 0.0027451 0.0019608 0.0047059 0.0039216 0.0070588 0.0043137 0.036471
iter=40 5.1387 4.6995 0.0015686 0.0011765 0.0023529 0.0019608 0.0031373 0.0015686 0.0011765 0.0019608 0.00039216 0.0031373 0.0027451 0.0039216 0.0027451 0.005098 0.0043137
iter=41 4.7913 14.522 0.00078431 0.0023529 0.0019608 0.0023529 0.0019608 0.0031373 0.0015686 0.00078431 0.04 0.0031373 0.0031373 0.0015686 0.0035294 0.0039216 0.035294
iter=42 4.4701 11.807 0.0023529 0.0011765 0.00078431 0.00078431 0.00078431 0.0011765 0.0031373 0.0023529 0.026667 0.0015686 0.0011765 0.0011765 0.0023529 0.0027451 0.0047059
iter=43 4.1728 5.4465 0.00039216 0.00039216 0.00078431 0.0011765 0.0011765 0.0023529 0.00078431 0.0015686 0.0023529 0.00078431 0.0031373 0.0043137 0.0035294 0.0043137 0.0054902
iter=44 3.8974 12.575 0.00039216 0.00078431 0.0011765 0.0015686 0.00078431 0.00078431 0.0015686 0.00039216 0.0019608 0.0019608 0.0011765 0.0031373 0.0015686 0.0023529 0.029804
iter=45 3.6419 13.302 0 0 0.00078431 0.00039216 0.00039216 0 0.00039216 0.0015686 0.00039216 0.0011765 0.00039216 0.00078431 0.00078431 0.0031373 0.033333
iter=46 3.4048 2.4995 0 0.0011765 0 0.0011765 0 0.0023529 0.00039216 0 0.0027451 0.00039216 0.00078431 0.0015686 0.0015686 0.0015686 0.0011765
iter=47 3.1844 3.2577 0.00039216 0.00039216 0 0 0.00078431 0.0019608 0.0011765 0.00039216 0 0.00039216 0.0015686 0.00078431 0.0011765 0.0019608 0.0039216
iter=48 2.9795 2.7878 0.0011765 0.00039216 0 0.00039216 0.00078431 0.00078431 0.0011765 0 0.00039216 0.0011765 0.00039216 0.00039216 0.00039216 0.0015686 0.0011765
iter=49 2.7887 2.2817 0.00039216 0 0.00039216 0.00078431 0.0015686 0.00039216 0.0019608 0.0011765 0 0.00078431 0.0011765 0.00078431 0.0019608 0.0011765 0.0019608
iter=50 2.611 14.289 0 0.00078431 0.00039216 0.00039216 0.00039216 0 0.00039216 0.00078431 0.038431 0.00078431 0.00039216 0.0011765 0.00078431 0.00078431 0.00078431
iter=51 2.4454 3.7202 0.00039216 0 0 0 0.00078431 0.00039216 0.00039216 0.00039216 0.00039216 0.00039216 0.00039216 0 0.0015686 0.0011765 0.0019608
iter=52 2.291 3.3021 0 0 0.00039216 0.00039216 0.00078431 0.0011765 0 0.00078431 0.00039216 0 0 0.00078431 0 0.0019608 0.0011765
iter=53 2.1469 4.5043 0.00039216 0 0.00039216 0.00039216 0 0.00078431 0 0 0.0019608 0.0015686 0.00078431 0.00039216 0.0011765 0.00039216 0
iter=54 2.0123 2.2817 0 0 0 0.00078431 0.00039216 0 0 0 0 0.00039216 0.00078431 0.0011765 0.00078431 0.00078431 0.0019608
iter=55 1.8866 13.458 0 0.00039216 0.00078431 0 0.0011765 0 0.00039216 0.00039216 0 0.00039216 0.00078431 0 0 0.00078431 0.034118
iter=56 1.7691 18.926 0.00039216 0 0 0 0 0 0 0 0.00078431 0.00078431 0.00039216 0 0 0.00078431 0.067451
iter=57 1.6593 1.0204 0 0.00039216 0 0 0 0.00039216 0 0 0.00039216 0 0 0.00039216 0 0 0
iter=58 1.5565 1.0204 0.00039216 0 0 0.00039216 0 0 0 0 0 0 0 0.00078431 0 0 0
iter=59 1.4603 1.4431 0 0 0 0 0 0.00039216 0.00039216 0 0.00078431 0 0 0.00039216 0.00039216 0 0
iter=60 1.3703 1.7674 0.00039216 0.00039216 0 0 0 0.00078431 0 0 0 0 0.0011765 0 0 0 0
iter=61 1.2861 1.4431 0 0 0 0 0 0.00039216 0.00039216 0 0 0.00039216 0.00078431 0 0 0 0
iter=62 1.2071 1.4431 0 0 0.00039216 0 0 0 0 0 0 0 0 0 0 0.00078431 0
iter=63 1.1332 1.0204 0 0 0 0 0 0.00039216 0 0 0 0 0 0 0 0 0
iter=64 1.0639 1.0204 0.00039216 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=65 0.99889 1.0204 0 0 0 0 0 0 0 0 0 0.00039216 0.00039216 0 0 0 0
iter=66 0.93798 1.0204 0 0 0 0.00039216 0 0 0 0 0 0.00039216 0 0 0 0.00039216 0
iter=67 0.88086 1.0204 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00039216 0.00039216
iter=68 0.82728 1.0204 0 0 0 0 0 0 0 0 0 0 0 0.00039216 0 0 0.00039216
iter=69 0.77702 1.0204 0.00039216 0 0 0 0 0.00039216 0 0 0 0 0 0 0 0 0
iter=70 0.72986 1.0204 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00039216 0.00039216
iter=71 0.6856 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=72 0.64407 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=73 0.60508 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=74 0.56848 1.0204 0 0 0 0 0 0 0 0 0 0.00039216 0 0 0 0 0
iter=75 0.53411 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=76 0.50184 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=77 0.47154 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=78 0.44308 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=79 0.41636 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=80 0.39125 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=81 0.36767 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=82 0.34552 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=83 0.32471 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=84 0.30516 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=85 0.28679 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=86 0.26953 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=87 0.25331 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=88 0.23808 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=89 0.22376 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=90 0.2103 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=91 0.19766 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=92 0.18578 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=93 0.17461 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=94 0.16412 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=95 0.15426 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=96 0.14499 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=97 0.13628 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=98 0.12809 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=99 0.1204 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
iter=100 0.11317 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,b=0 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679 -16.679
coh2:k=1.02041,b=0 1.6951 1.9479 2.2271 2.5214 2.8265 3.1427 4.6343 5.0876 5.5573 6.0229 6.4636 6.8568
coh3:k=0,b=1.02041 2.2448 2.5822 2.9487 3.3322 3.7278 4.1353 6.0791 6.7832 7.4306 8.0338 8.5908 9.0897
coh4:k=2.04082,b=0 2.9914 3.2625 3.5574 3.8626 4.1718 4.4834 5.9294 6.3827 6.8524 7.3179 7.7586 8.1519
coh5:k=1.02041,b=1.02041 3.5061 3.8576 4.2358 4.6264 5.0226 5.4221 7.0898 7.5454 8.0444 8.6067 9.1318 9.6083
coh6:k=0,b=2.04082 3.4934 3.8679 4.2667 4.6754 5.0871 5.4996 7.1962 7.7648 8.3175 8.8438 9.3405 9.8339
coh7:k=3.06122,b=0 4.2237 4.4947 4.7897 5.0949 5.4041 5.7157 7.0339 7.4054 7.7937 8.1869 8.569 8.919
coh8:k=2.04082,b=1.02041 4.3374 4.6305 4.9498 5.3357 5.7345 6.1368 7.7599 8.1816 8.6138 9.051 9.5545 10.014
coh9:k=1.02041,b=2.04082 4.334 4.6334 4.9765 5.3827 5.7967 6.2118 7.864 8.2883 8.7762 9.281 9.7589 10.197
coh10:k=0,b=3.06122 4.3183 4.623 4.9609 5.3839 5.8119 6.2385 7.9162 8.3803 8.8955 9.3883 9.856 10.354
coh11:k=4.08163,b=0 4.9498 5.1987 5.4824 5.7892 6.1044 6.4219 7.7053 8.0447 8.3966 8.7558 9.1106 9.4413
coh12:k=3.06122,b=1.02041 5.0609 5.3315 5.6389 5.9718 6.3154 6.6635 8.246 8.6521 9.0659 9.4844 9.9108 10.356
coh13:k=2.04082,b=2.04082 5.0576 5.3343 5.6481 5.9875 6.3377 6.7307 8.348 8.7568 9.172 9.6484 10.111 10.536
coh14:k=1.02041,b=3.06122 5.0423 5.3242 5.6432 5.9879 6.3465 6.7567 8.3992 8.8106 9.2765 9.7536 10.207 10.653
coh15:k=0,b=4.08163 5.0203 5.3072 5.6313 5.981 6.3412 6.7626 8.4302 8.8525 9.346 9.8176 10.266 10.75
coh16:k=5.10204,b=0 5.5962 5.816 6.0667 6.3398 6.6306 6.9351 8.1927 8.5182 8.8533 9.1951 9.5337 9.8508
coh17:k=4.08163,b=1.02041 5.7049 5.9458 6.2199 6.5185 6.8372 7.1718 8.6475 9.0427 9.4435 9.848 10.247 10.655
coh18:k=3.06122,b=2.04082 5.7016 5.9486 6.2289 6.5339 6.8591 7.2002 8.7473 9.1454 9.5478 9.9687 10.418 10.832
coh19:k=2.04082,b=3.06122 5.6866 5.9387 6.2241 6.5343 6.8646 7.2107 8.7977 9.1984 9.6082 10.072 10.512 10.92
coh20:k=1.02041,b=4.08163 5.6651 5.9221 6.2124 6.5275 6.8625 7.2131 8.8281 9.2315 9.6762 10.135 10.571 11.016
coh21:k=0,b=5.10204 5.6387 5.9008 6.1961 6.5161 6.8557 7.2107 8.8479 9.254 9.7218 10.178 10.613 11.079
coh22:k=6.12245,b=0 6.1694 6.367 6.5911 6.8365 7.0995 7.3793 8.5954 8.9117 9.2353 9.5644 9.8905 10.205
coh23:k=5.10204,b=1.02041 6.2756 6.494 6.7409 7.0114 7.3017 7.6112 8.9965 9.3819 9.7719 10.165 10.552 10.922
coh24:k=4.08163,b=2.04082 6.2725 6.4967 6.7498 7.0266 7.3233 7.6391 9.0943 9.4828 9.8745 10.268 10.692 11.096
coh25:k=3.06122,b=3.06122 6.2577 6.487 6.7451 7.027 7.3287 7.6494 9.1437 9.5348 9.9281 10.355 10.785 11.181
coh26:k=2.04082,b=4.08163 6.2367 6.4707 6.7336 7.0203 7.3267 7.6518 9.1737 9.5674 9.9705 10.417 10.842 11.258
coh27:k=1.02041,b=5.10204 6.2109 6.4499 6.7176 7.009 7.32 7.6494 9.1931 9.5896 10.015 10.46 10.882 11.321
coh28:k=0,b=6.12245 6.181 6.4252 6.6981 6.9944 7.3099 7.6437 9.206 9.6053 10.047 10.491 10.918 11.366
coh29:k=7.14286,b=0 6.6824 6.8619 7.0655 7.289 7.5286 7.7849 8.9456 9.2589 9.5824 9.9115 10.238 10.543
coh30:k=6.12245,b=1.02041 6.7864 6.9862 7.2122 7.4603 7.7268 8.0122 9.3111 9.6849 10.064 10.447 10.824 11.182
coh31:k=5.10204,b=2.04082 6.7833 6.9889 7.2209 7.4752 7.7479 8.0396 9.4061 9.784 10.165 10.548 10.942 11.337
coh32:k=4.08163,b=3.06122 6.7689 6.9793 7.2162 7.4756 7.7533 8.0498 9.4546 9.8352 10.218 10.613 11.033 11.42
coh33:k=3.06122,b=4.08163 6.7482 6.9634 7.205 7.469 7.7512 8.0521 9.484 9.8673 10.252 10.674 11.09 11.482
coh34:k=2.04082,b=5.10204 6.723 6.943 7.1894 7.458 7.7447 8.0498 9.5031 9.8892 10.281 10.716 11.129 11.544
coh35:k=1.02041,b=6.12245 6.6938 6.9188 7.1702 7.4436 7.7348 8.0442 9.5158 9.9047 10.313 10.746 11.159 11.589
coh36:k=0,b=7.14286 6.6606 6.8912 7.1479 7.4263 7.7223 8.036 9.524 9.9158 10.336 10.77 11.19 11.623
coh37:k=8.16327,b=0 7.1458 7.3107 7.4979 7.7039 7.9242 8.1603 9.2863 9.5944 9.9086 10.227 10.543 10.839
coh38:k=7.14286,b=1.02041 7.2476 7.4324 7.6415 7.8717 8.1183 8.3831 9.6194 9.9597 10.33 10.703 11.072 11.422
coh39:k=6.12245,b=2.04082 7.2445 7.435 7.65 7.8863 8.1391 8.4101 9.6892 10.057 10.429 10.803 11.173 11.56
coh40:k=5.10204,b=3.06122 7.2304 7.4256 7.6455 7.8867 8.1443 8.4201 9.7368 10.107 10.481 10.856 11.263 11.642
coh41:k=4.08163,b=4.08163 7.2102 7.41 7.6345 7.8802 8.1424 8.4224 9.7657 10.139 10.515 10.912 11.319 11.694
coh42:k=3.06122,b=5.10204 7.1855 7.39 7.6191 7.8694 8.1359 8.4201 9.7846 10.161 10.538 10.953 11.358 11.753
coh43:k=2.04082,b=6.12245 7.1569 7.3663 7.6003 7.8553 8.1262 8.4146 9.797 10.176 10.56 10.983 11.387 11.797
coh44:k=1.02041,b=7.14286 7.1246 7.3393 7.5785 7.8384 8.1139 8.4065 9.8051 10.187 10.583 11.006 11.409 11.831
coh45:k=0,b=8.16327 7.0883 7.309 7.5538 7.8189 8.0994 8.3964 9.8098 10.195 10.6 11.024 11.436 11.858
coh46:k=9.18367,b=0 7.5679 7.7208 7.8945 8.086 8.2903 8.5093 9.5949 9.8939 10.199 10.508 10.815 11.103
coh47:k=8.16327,b=1.02041 7.6674 7.8399 8.0352 8.2504 8.4806 8.7277 9.8991 10.228 10.577 10.941 11.301 11.643
coh48:k=7.14286,b=2.04082 7.6645 7.8425 8.0436 8.2648 8.501 8.7542 9.9554 10.312 10.674 11.039 11.4 11.769
coh49:k=6.12245,b=3.06122 7.6506 7.8333 8.0392 8.2652 8.5062 8.7641 10.002 10.362 10.726 11.092 11.478 11.85
coh50:k=5.10204,b=4.08163 7.6309 7.818 8.0283 8.2588 8.5042 8.7664 10.031 10.393 10.759 11.134 11.533 11.901
coh1226:k=50,b=0 14.953 14.999 15.052 15.111 15.177 15.247 15.595 15.701 15.818 15.945 16.077 16.208
coh1227:k=48.9796,b=1.02041 14.975 15.026 15.085 15.15 15.222 15.301 15.694 15.817 15.95 16.092 16.242 16.392
coh1228:k=47.9592,b=2.04082 14.975 15.027 15.087 15.154 15.228 15.308 15.717 15.842 15.978 16.124 16.282 16.439
coh1229:k=46.9388,b=3.06122 14.971 15.024 15.086 15.154 15.229 15.311 15.729 15.857 15.995 16.149 16.309 16.467
coh1230:k=45.9184,b=4.08163 14.967 15.021 15.083 15.153 15.229 15.312 15.737 15.866 16.01 16.165 16.327 16.488
coh1231:k=44.898,b=5.10204 14.961 15.016 15.079 15.15 15.227 15.311 15.742 15.873 16.02 16.177 16.34 16.506
coh1232:k=43.8776,b=6.12245 14.955 15.011 15.075 15.146 15.224 15.31 15.746 15.879 16.028 16.187 16.352 16.521
coh1233:k=42.8571,b=7.14286 14.948 15.005 15.07 15.142 15.221 15.307 15.748 15.884 16.035 16.194 16.363 16.532
coh1234:k=41.8367,b=8.16327 14.941 14.998 15.064 15.137 15.217 15.304 15.75 15.887 16.039 16.2 16.372 16.542
coh1235:k=40.8163,b=9.18367 14.934 14.992 15.058 15.132 15.213 15.301 15.75 15.889 16.043 16.205 16.379 16.55
coh1236:k=39.7959,b=10.2041 14.926 14.984 15.052 15.126 15.208 15.297 15.75 15.891 16.046 16.209 16.386 16.557
coh1237:k=38.7755,b=11.2245 14.917 14.977 15.045 15.12 15.203 15.293 15.75 15.892 16.048 16.213 16.391 16.563
coh1238:k=37.7551,b=12.2449 14.908 14.969 15.037 15.114 15.198 15.289 15.749 15.892 16.05 16.216 16.395 16.568
coh1239:k=36.7347,b=13.2653 14.899 14.96 15.03 15.108 15.192 15.284 15.748 15.892 16.051 16.219 16.399 16.572
coh1240:k=35.7143,b=14.2857 14.892 14.951 15.022 15.101 15.186 15.279 15.746 15.891 16.051 16.221 16.402 16.576
coh1241:k=34.6939,b=15.3061 14.884 14.943 15.014 15.093 15.18 15.274 15.744 15.89 16.051 16.222 16.404 16.58
coh1242:k=33.6735,b=16.3265 14.877 14.937 15.005 15.086 15.173 15.268 15.742 15.889 16.051 16.224 16.407 16.582
coh1243:k=32.6531,b=17.3469 14.869 14.929 14.998 15.078 15.166 15.262 15.74 15.887 16.051 16.224 16.408 16.585
coh1244:k=31.6327,b=18.3673 14.861 14.922 14.992 15.069 15.159 15.256 15.737 15.885 16.05 16.225 16.41 16.587
coh1245:k=30.6122,b=19.3878 14.853 14.914 14.985 15.063 15.152 15.25 15.734 15.882 16.049 16.225 16.411 16.589
coh1246:k=29.5918,b=20.4082 14.844 14.906 14.977 15.056 15.144 15.243 15.731 15.88 16.048 16.225 16.412 16.591
coh1247:k=28.5714,b=21.4286 14.835 14.898 14.97 15.05 15.136 15.236 15.727 15.877 16.046 16.224 16.413 16.592
coh1248:k=27.551,b=22.449 14.826 14.889 14.962 15.043 15.13 15.229 15.724 15.874 16.044 16.223 16.413 16.594
coh1249:k=26.5306,b=23.4694 14.816 14.881 14.954 15.036 15.124 15.222 15.72 15.872 16.043 16.222 16.413 16.595
coh1250:k=25.5102,b=24.4898 14.806 14.871 14.946 15.028 15.117 15.214 15.716 15.869 16.04 16.221 16.413 16.595
coh1251:k=24.4898,b=25.5102 14.796 14.862 14.937 15.02 15.111 15.208 15.712 15.866 16.038 16.22 16.413 16.596
coh1252:k=23.4694,b=26.5306 14.787 14.852 14.928 15.012 15.104 15.202 15.707 15.863 16.036 16.218 16.413 16.597
coh1253:k=22.449,b=27.551 14.779 14.842 14.919 15.004 15.096 15.196 15.703 15.86 16.033 16.216 16.412 16.597
coh1254:k=21.4286,b=28.5714 14.771 14.834 14.91 14.996 15.089 15.189 15.698 15.857 16.03 16.214 16.411 16.597
coh1255:k=20.4082,b=29.5918 14.762 14.826 14.9 14.987 15.081 15.183 15.693 15.853 16.027 16.212 16.411 16.597
coh1256:k=19.3878,b=30.6122 14.753 14.818 14.892 14.978 15.073 15.176 15.688 15.85 16.024 16.21 16.41 16.597
coh1257:k=18.3673,b=31.6327 14.744 14.81 14.885 14.968 15.065 15.169 15.683 15.846 16.021 16.208 16.409 16.597
coh1258:k=17.3469,b=32.6531 14.735 14.801 14.877 14.961 15.056 15.161 15.677 15.842 16.017 16.206 16.407 16.597
coh1259:k=16.3265,b=33.6735 14.725 14.792 14.869 14.953 15.048 15.154 15.672 15.838 16.014 16.204 16.406 16.597
coh1260:k=15.3061,b=34.6939 14.715 14.783 14.86 14.946 15.038 15.146 15.668 15.834 16.01 16.202 16.404 16.596
coh1261:k=14.2857,b=35.7143 14.705 14.774 14.852 14.938 15.031 15.138 15.664 15.829 16.006 16.199 16.403 16.596
coh1262:k=13.2653,b=36.7347 14.694 14.764 14.843 14.93 15.024 15.13 15.659 15.825 16.002 16.197 16.401 16.595
coh1263:k=12.2449,b=37.7551 14.683 14.754 14.834 14.922 15.017 15.121 15.654 15.82 15.998 16.194 16.399 16.594
coh1264:k=11.2245,b=38.7755 14.675 14.743 14.824 14.913 15.009 15.112 15.649 15.815 15.994 16.191 16.397 16.593
coh1265:k=10.2041,b=39.7959 14.666 14.733 14.814 14.905 15.002 15.106 15.644 15.81 15.991 16.189 16.395 16.592
coh1266:k=9.18367,b=40.8163 14.657 14.725 14.804 14.895 14.994 15.099 15.639 15.805 15.987 16.186 16.393 16.591
coh1267:k=8.16327,b=41.8367 14.648 14.716 14.794 14.886 14.986 15.092 15.633 15.8 15.984 16.183 16.391 16.59
coh1268:k=7.14286,b=42.8571 14.639 14.708 14.786 14.876 14.977 15.084 15.628 15.794 15.98 16.18 16.389 16.589
coh1269:k=6.12245,b=43.8776 14.629 14.699 14.778 14.866 14.968 15.077 15.622 15.789 15.976 16.176 16.386 16.588
coh1270:k=5.10204,b=44.898 14.619 14.69 14.77 14.857 14.959 15.069 15.616 15.784 15.972 16.173 16.384 16.587
coh1271:k=4.08163,b=45.9184 14.609 14.68 14.761 14.85 14.95 15.061 15.61 15.78 15.968 16.17 16.381 16.586
coh1272:k=3.06122,b=46.9388 14.598 14.67 14.752 14.842 14.94 15.053 15.604 15.775 15.964 16.166 16.378 16.584
coh1273:k=2.04082,b=47.9592 14.587 14.66 14.743 14.834 14.931 15.045 15.597 15.77 15.959 16.162 16.376 16.583
coh1274:k=1.02041,b=48.9796 14.576 14.65 14.734 14.825 14.924 15.036 15.591 15.765 15.955 16.158 16.373 16.581
coh1275:k=0,b=50 14.566 14.639 14.724 14.817 14.916 15.027 15.584 15.761 15.95 16.155 16.37 16.579
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,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=1.02041,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh3:k=0,b=1.02041 0 0 0 0 0 0 0 0 0 0 0 0
coh4:k=2.04082,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh5:k=1.02041,b=1.02041 0 0 0 0 0 0 0 0 0 0 0 0
coh6:k=0,b=2.04082 0 0 0 0 0 0 0 0 0 0 0 0
coh7:k=3.06122,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh8:k=2.04082,b=1.02041 0 0 0 0 0 0 0 0 0 0 0 0
coh9:k=1.02041,b=2.04082 0 0 0 0 0 0 0 0 0 0 0 0
coh10:k=0,b=3.06122 0 0 0 0 0 0 0 0 0 0 0 0
coh11:k=4.08163,b=0 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh12:k=3.06122,b=1.02041 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh13:k=2.04082,b=2.04082 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh14:k=1.02041,b=3.06122 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh15:k=0,b=4.08163 1.0204 1.0204 0 0 0 0 0 0 0 0 0 0
coh16:k=5.10204,b=0 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh17:k=4.08163,b=1.02041 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh18:k=3.06122,b=2.04082 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh19:k=2.04082,b=3.06122 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh20:k=1.02041,b=4.08163 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh21:k=0,b=5.10204 2.0408 2.0408 1.0204 1.0204 0 0 0 0 0 0 0 0
coh22:k=6.12245,b=0 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh23:k=5.10204,b=1.02041 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh24:k=4.08163,b=2.04082 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh25:k=3.06122,b=3.06122 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh26:k=2.04082,b=4.08163 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh27:k=1.02041,b=5.10204 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh28:k=0,b=6.12245 3.0612 3.0612 2.0408 2.0408 1.0204 0 0 0 0 0 0 0
coh29:k=7.14286,b=0 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh30:k=6.12245,b=1.02041 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh31:k=5.10204,b=2.04082 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh32:k=4.08163,b=3.06122 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh33:k=3.06122,b=4.08163 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh34:k=2.04082,b=5.10204 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh35:k=1.02041,b=6.12245 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh36:k=0,b=7.14286 4.0816 4.0816 3.0612 3.0612 2.0408 1.0204 0 0 0 0 0 0
coh37:k=8.16327,b=0 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh38:k=7.14286,b=1.02041 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh39:k=6.12245,b=2.04082 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh40:k=5.10204,b=3.06122 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh41:k=4.08163,b=4.08163 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh42:k=3.06122,b=5.10204 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh43:k=2.04082,b=6.12245 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh44:k=1.02041,b=7.14286 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh45:k=0,b=8.16327 5.102 5.102 4.0816 4.0816 3.0612 2.0408 0 0 0 0 0 0
coh46:k=9.18367,b=0 6.1224 6.1224 5.102 5.102 4.0816 4.0816 0 0 0 0 0 0
coh47:k=8.16327,b=1.02041 6.1224 6.1224 5.102 5.102 4.0816 4.0816 0 0 0 0 0 0
coh48:k=7.14286,b=2.04082 6.1224 6.1224 5.102 5.102 4.0816 4.0816 0 0 0 0 0 0
coh49:k=6.12245,b=3.06122 6.1224 6.1224 5.102 5.102 4.0816 4.0816 0 0 0 0 0 0
coh50:k=5.10204,b=4.08163 6.1224 6.1224 5.102 5.102 4.0816 4.0816 0 0 0 0 0 0
coh1226:k=50,b=0 44.898 44.898 43.878 43.878 42.857 42.857 37.755 35.714 32.653 30.612 27.551 24.49
coh1227:k=48.9796,b=1.02041 44.898 44.898 43.878 43.878 42.857 42.857 38.776 36.735 34.694 32.653 29.592 26.531
coh1228:k=47.9592,b=2.04082 44.898 44.898 43.878 43.878 42.857 42.857 38.776 36.735 34.694 32.653 30.612 27.551
coh1229:k=46.9388,b=3.06122 44.898 44.898 43.878 43.878 42.857 42.857 38.776 36.735 34.694 33.673 30.612 27.551
coh1230:k=45.9184,b=4.08163 44.898 44.898 43.878 43.878 42.857 42.857 38.776 36.735 35.714 33.673 30.612 29.592
coh1231:k=44.898,b=5.10204 44.898 44.898 43.878 43.878 42.857 42.857 38.776 36.735 35.714 33.673 30.612 29.592
coh1232:k=43.8776,b=6.12245 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 33.673 31.633 29.592
coh1233:k=42.8571,b=7.14286 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 33.673 31.633 29.592
coh1234:k=41.8367,b=8.16327 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 33.673 31.633 29.592
coh1235:k=40.8163,b=9.18367 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 33.673 31.633 29.592
coh1236:k=39.7959,b=10.2041 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 33.673 31.633 29.592
coh1237:k=38.7755,b=11.2245 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1238:k=37.7551,b=12.2449 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1239:k=36.7347,b=13.2653 44.898 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1240:k=35.7143,b=14.2857 43.878 44.898 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1241:k=34.6939,b=15.3061 43.878 43.878 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1242:k=33.6735,b=16.3265 43.878 43.878 43.878 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1243:k=32.6531,b=17.3469 43.878 43.878 42.857 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1244:k=31.6327,b=18.3673 43.878 43.878 42.857 43.878 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1245:k=30.6122,b=19.3878 43.878 43.878 42.857 42.857 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1246:k=29.5918,b=20.4082 43.878 43.878 42.857 42.857 42.857 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1247:k=28.5714,b=21.4286 43.878 43.878 42.857 42.857 41.837 42.857 38.776 37.755 35.714 34.694 31.633 29.592
coh1248:k=27.551,b=22.449 43.878 43.878 42.857 42.857 41.837 42.857 38.776 36.735 35.714 34.694 31.633 29.592
coh1249:k=26.5306,b=23.4694 43.878 43.878 42.857 42.857 41.837 42.857 38.776 36.735 35.714 34.694 31.633 29.592
coh1250:k=25.5102,b=24.4898 43.878 43.878 42.857 42.857 41.837 42.857 38.776 36.735 35.714 34.694 31.633 29.592
coh1251:k=24.4898,b=25.5102 43.878 43.878 42.857 42.857 41.837 41.837 38.776 36.735 35.714 34.694 31.633 29.592
coh1252:k=23.4694,b=26.5306 42.857 43.878 42.857 42.857 41.837 41.837 38.776 36.735 35.714 34.694 31.633 29.592
coh1253:k=22.449,b=27.551 42.857 43.878 42.857 42.857 41.837 41.837 38.776 36.735 35.714 34.694 31.633 29.592
coh1254:k=21.4286,b=28.5714 42.857 42.857 42.857 42.857 41.837 41.837 38.776 36.735 35.714 34.694 31.633 29.592
coh1255:k=20.4082,b=29.5918 42.857 42.857 41.837 42.857 41.837 41.837 38.776 36.735 35.714 34.694 31.633 29.592
coh1256:k=19.3878,b=30.6122 42.857 42.857 41.837 42.857 41.837 41.837 38.776 36.735 35.714 33.673 31.633 29.592
coh1257:k=18.3673,b=31.6327 42.857 42.857 41.837 42.857 41.837 41.837 38.776 36.735 35.714 33.673 31.633 29.592
coh1258:k=17.3469,b=32.6531 42.857 42.857 41.837 41.837 41.837 41.837 38.776 36.735 35.714 33.673 31.633 29.592
coh1259:k=16.3265,b=33.6735 42.857 42.857 41.837 41.837 41.837 41.837 37.755 36.735 35.714 33.673 31.633 29.592
coh1260:k=15.3061,b=34.6939 42.857 42.857 41.837 41.837 41.837 41.837 37.755 36.735 35.714 33.673 31.633 29.592
coh1261:k=14.2857,b=35.7143 42.857 42.857 41.837 41.837 40.816 41.837 37.755 36.735 35.714 33.673 31.633 29.592
coh1262:k=13.2653,b=36.7347 42.857 42.857 41.837 41.837 40.816 41.837 37.755 36.735 35.714 33.673 31.633 29.592
coh1263:k=12.2449,b=37.7551 42.857 42.857 41.837 41.837 40.816 41.837 37.755 36.735 35.714 33.673 31.633 29.592
coh1264:k=11.2245,b=38.7755 41.837 42.857 41.837 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1265:k=10.2041,b=39.7959 41.837 41.837 41.837 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1266:k=9.18367,b=40.8163 41.837 41.837 41.837 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1267:k=8.16327,b=41.8367 41.837 41.837 40.816 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1268:k=7.14286,b=42.8571 41.837 41.837 40.816 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1269:k=6.12245,b=43.8776 41.837 41.837 40.816 41.837 40.816 40.816 37.755 36.735 34.694 33.673 31.633 29.592
coh1270:k=5.10204,b=44.898 41.837 41.837 40.816 40.816 40.816 40.816 37.755 35.714 34.694 33.673 31.633 29.592
coh1271:k=4.08163,b=45.9184 41.837 41.837 40.816 40.816 40.816 40.816 37.755 35.714 34.694 33.673 31.633 29.592
coh1272:k=3.06122,b=46.9388 41.837 41.837 40.816 40.816 40.816 40.816 37.755 35.714 34.694 33.673 31.633 29.592
coh1273:k=2.04082,b=47.9592 41.837 41.837 40.816 40.816 39.796 40.816 37.755 35.714 34.694 33.673 31.633 29.592
coh1274:k=1.02041,b=48.9796 41.837 41.837 40.816 40.816 39.796 40.816 37.755 35.714 34.694 33.673 31.633 29.592
coh1275:k=0,b=50 40.816 41.837 40.816 40.816 39.796 40.816 37.755 35.714 34.694 33.673 31.633 29.592
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,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=1.02041,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
coh3:k=0,b=1.02041 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh4:k=2.04082,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
coh5:k=1.02041,b=1.02041 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612
coh6:k=0,b=2.04082 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 4.0816
coh7:k=3.06122,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
coh8:k=2.04082,b=1.02041 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816
coh9:k=1.02041,b=2.04082 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816
coh10:k=0,b=3.06122 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102
coh11:k=4.08163,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
coh12:k=3.06122,b=1.02041 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102
coh13:k=2.04082,b=2.04082 2.0408 2.0408 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102
coh14:k=1.02041,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102 6.1224
coh15:k=0,b=4.08163 2.0408 2.0408 3.0612 3.0612 3.0612 4.0816 4.0816 5.102 5.102 5.102 5.102 6.1224
coh16:k=5.10204,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816
coh17:k=4.08163,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 5.102 5.102 5.102 5.102 5.102 6.1224
coh18:k=3.06122,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 5.102 5.102 5.102 6.1224 6.1224 6.1224
coh19:k=2.04082,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 5.102 5.102 6.1224 6.1224 6.1224 7.1429
coh20:k=1.02041,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 5.102 5.102 6.1224 6.1224 6.1224 7.1429
coh21:k=0,b=5.10204 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 5.102 5.102 6.1224 6.1224 7.1429 7.1429
coh22:k=6.12245,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 5.102 5.102 5.102 5.102 5.102 4.0816
coh23:k=5.10204,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429
coh24:k=4.08163,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429
coh25:k=3.06122,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429
coh26:k=2.04082,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633
coh27:k=1.02041,b=5.10204 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633
coh28:k=0,b=6.12245 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 7.1429 7.1429 8.1633 8.1633
coh29:k=7.14286,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 5.102 5.102 5.102 5.102 5.102
coh30:k=6.12245,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 7.1429 7.1429 7.1429 7.1429 7.1429
coh31:k=5.10204,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633
coh32:k=4.08163,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633
coh33:k=3.06122,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 7.1429 8.1633 8.1633 9.1837
coh34:k=2.04082,b=5.10204 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837
coh35:k=1.02041,b=6.12245 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837
coh36:k=0,b=7.14286 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 7.1429 8.1633 8.1633 9.1837 9.1837
coh37:k=8.16327,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224
coh38:k=7.14286,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 7.1429 8.1633 8.1633 8.1633 8.1633 8.1633
coh39:k=6.12245,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837
coh40:k=5.10204,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837
coh41:k=4.08163,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837
coh42:k=3.06122,b=5.10204 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 8.1633 9.1837 9.1837 10.204
coh43:k=2.04082,b=6.12245 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 9.1837 9.1837 9.1837 10.204
coh44:k=1.02041,b=7.14286 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 9.1837 9.1837 9.1837 10.204
coh45:k=0,b=8.16327 2.0408 2.0408 3.0612 3.0612 4.0816 5.102 8.1633 8.1633 9.1837 9.1837 10.204 10.204
coh46:k=9.18367,b=0 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429
coh47:k=8.16327,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 8.1633 8.1633 9.1837 9.1837 9.1837 9.1837
coh48:k=7.14286,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 9.1837 9.1837 9.1837 9.1837 10.204
coh49:k=6.12245,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 9.1837 9.1837 9.1837 10.204 10.204
coh50:k=5.10204,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 9.1837 9.1837 10.204 10.204 10.204
coh1226:k=50,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
coh1227:k=48.9796,b=1.02041 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh1228:k=47.9592,b=2.04082 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh1229:k=46.9388,b=3.06122 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 21.429
coh1230:k=45.9184,b=4.08163 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1231:k=44.898,b=5.10204 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1232:k=43.8776,b=6.12245 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1233:k=42.8571,b=7.14286 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1234:k=41.8367,b=8.16327 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1235:k=40.8163,b=9.18367 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1236:k=39.7959,b=10.2041 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1237:k=38.7755,b=11.2245 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1238:k=37.7551,b=12.2449 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1239:k=36.7347,b=13.2653 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1240:k=35.7143,b=14.2857 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1241:k=34.6939,b=15.3061 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1242:k=33.6735,b=16.3265 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1243:k=32.6531,b=17.3469 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1244:k=31.6327,b=18.3673 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1245:k=30.6122,b=19.3878 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1246:k=29.5918,b=20.4082 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1247:k=28.5714,b=21.4286 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1248:k=27.551,b=22.449 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1249:k=26.5306,b=23.4694 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1250:k=25.5102,b=24.4898 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1251:k=24.4898,b=25.5102 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1252:k=23.4694,b=26.5306 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1253:k=22.449,b=27.551 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1254:k=21.4286,b=28.5714 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1255:k=20.4082,b=29.5918 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1256:k=19.3878,b=30.6122 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1257:k=18.3673,b=31.6327 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1258:k=17.3469,b=32.6531 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1259:k=16.3265,b=33.6735 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1260:k=15.3061,b=34.6939 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1261:k=14.2857,b=35.7143 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1262:k=13.2653,b=36.7347 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1263:k=12.2449,b=37.7551 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1264:k=11.2245,b=38.7755 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1265:k=10.2041,b=39.7959 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1266:k=9.18367,b=40.8163 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1267:k=8.16327,b=41.8367 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1268:k=7.14286,b=42.8571 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1269:k=6.12245,b=43.8776 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1270:k=5.10204,b=44.898 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1271:k=4.08163,b=45.9184 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1272:k=3.06122,b=46.9388 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1273:k=2.04082,b=47.9592 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1274:k=1.02041,b=48.9796 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
coh1275:k=0,b=50 2.0408 2.0408 3.0612 3.0612 4.0816 4.0816 9.1837 11.224 13.265 15.306 18.367 20.408
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,b=0 0 0 0 0 0 0 0 0 0 0 0 0
coh2:k=1.02041,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
coh3:k=0,b=1.02041 1.0204 1.0204 1.0204 1.0204 1.0204 1.0204 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408
coh4:k=2.04082,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
coh5:k=1.02041,b=1.02041 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612
coh6:k=0,b=2.04082 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 4.0816
coh7:k=3.06122,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
coh8:k=2.04082,b=1.02041 2.0408 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816
coh9:k=1.02041,b=2.04082 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816
coh10:k=0,b=3.06122 2.0408 2.0408 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102
coh11:k=4.08163,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
coh12:k=3.06122,b=1.02041 3.0612 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102
coh13:k=2.04082,b=2.04082 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102
coh14:k=1.02041,b=3.06122 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102 6.1224
coh15:k=0,b=4.08163 3.0612 3.0612 3.0612 3.0612 3.0612 4.0816 4.0816 5.102 5.102 5.102 5.102 6.1224
coh16:k=5.10204,b=0 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816
coh17:k=4.08163,b=1.02041 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102 5.102 5.102 6.1224
coh18:k=3.06122,b=2.04082 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 5.102 5.102 5.102 6.1224 6.1224 6.1224
coh19:k=2.04082,b=3.06122 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 5.102 5.102 6.1224 6.1224 6.1224 7.1429
coh20:k=1.02041,b=4.08163 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 5.102 5.102 6.1224 6.1224 6.1224 7.1429
coh21:k=0,b=5.10204 4.0816 4.0816 4.0816 4.0816 4.0816 4.0816 5.102 5.102 6.1224 6.1224 7.1429 7.1429
coh22:k=6.12245,b=0 5.102 5.102 5.102 5.102 5.102 5.102 5.102 5.102 5.102 5.102 5.102 4.0816
coh23:k=5.10204,b=1.02041 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429
coh24:k=4.08163,b=2.04082 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429
coh25:k=3.06122,b=3.06122 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429
coh26:k=2.04082,b=4.08163 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633
coh27:k=1.02041,b=5.10204 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633
coh28:k=0,b=6.12245 5.102 5.102 5.102 5.102 5.102 5.102 6.1224 6.1224 7.1429 7.1429 8.1633 8.1633
coh29:k=7.14286,b=0 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 5.102 5.102 5.102 5.102 5.102
coh30:k=6.12245,b=1.02041 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429 7.1429 7.1429
coh31:k=5.10204,b=2.04082 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633
coh32:k=4.08163,b=3.06122 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633
coh33:k=3.06122,b=4.08163 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 7.1429 8.1633 8.1633 9.1837
coh34:k=2.04082,b=5.10204 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837
coh35:k=1.02041,b=6.12245 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837
coh36:k=0,b=7.14286 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224 7.1429 7.1429 8.1633 8.1633 9.1837 9.1837
coh37:k=8.16327,b=0 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 6.1224 6.1224 6.1224 6.1224 6.1224 6.1224
coh38:k=7.14286,b=1.02041 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633 8.1633 8.1633
coh39:k=6.12245,b=2.04082 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837
coh40:k=5.10204,b=3.06122 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837
coh41:k=4.08163,b=4.08163 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837
coh42:k=3.06122,b=5.10204 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 8.1633 9.1837 9.1837 10.204
coh43:k=2.04082,b=6.12245 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 9.1837 9.1837 9.1837 10.204
coh44:k=1.02041,b=7.14286 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 9.1837 9.1837 9.1837 10.204
coh45:k=0,b=8.16327 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429 8.1633 8.1633 9.1837 9.1837 10.204 10.204
coh46:k=9.18367,b=0 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 7.1429 7.1429 7.1429 7.1429 7.1429 7.1429
coh47:k=8.16327,b=1.02041 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837 9.1837
coh48:k=7.14286,b=2.04082 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837 9.1837 9.1837 10.204
coh49:k=6.12245,b=3.06122 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837 9.1837 10.204 10.204
coh50:k=5.10204,b=4.08163 8.1633 8.1633 8.1633 8.1633 8.1633 8.1633 9.1837 9.1837 9.1837 10.204 10.204 10.204
coh1226:k=50,b=0 46.939 46.939 46.939 46.939 46.939 46.939 46.939 46.939 45.918 45.918 45.918 45.918
coh1227:k=48.9796,b=1.02041 46.939 46.939 46.939 46.939 46.939 46.939 47.959 47.959 47.959 47.959 47.959 47.959
coh1228:k=47.9592,b=2.04082 46.939 46.939 46.939 46.939 46.939 46.939 47.959 47.959 47.959 47.959 48.98 48.98
coh1229:k=46.9388,b=3.06122 46.939 46.939 46.939 46.939 46.939 46.939 47.959 47.959 47.959 48.98 48.98 48.98
coh1230:k=45.9184,b=4.08163 46.939 46.939 46.939 46.939 46.939 46.939 47.959 47.959 48.98 48.98 48.98 50
coh1231:k=44.898,b=5.10204 46.939 46.939 46.939 46.939 46.939 46.939 47.959 47.959 48.98 48.98 48.98 50
coh1232:k=43.8776,b=6.12245 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 48.98 50 50
coh1233:k=42.8571,b=7.14286 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 48.98 50 50
coh1234:k=41.8367,b=8.16327 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 48.98 50 50
coh1235:k=40.8163,b=9.18367 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 48.98 50 50
coh1236:k=39.7959,b=10.2041 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 48.98 50 50
coh1237:k=38.7755,b=11.2245 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1238:k=37.7551,b=12.2449 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1239:k=36.7347,b=13.2653 46.939 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1240:k=35.7143,b=14.2857 45.918 46.939 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1241:k=34.6939,b=15.3061 45.918 45.918 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1242:k=33.6735,b=16.3265 45.918 45.918 46.939 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1243:k=32.6531,b=17.3469 45.918 45.918 45.918 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1244:k=31.6327,b=18.3673 45.918 45.918 45.918 46.939 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1245:k=30.6122,b=19.3878 45.918 45.918 45.918 45.918 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1246:k=29.5918,b=20.4082 45.918 45.918 45.918 45.918 46.939 46.939 47.959 48.98 48.98 50 50 50
coh1247:k=28.5714,b=21.4286 45.918 45.918 45.918 45.918 45.918 46.939 47.959 48.98 48.98 50 50 50
coh1248:k=27.551,b=22.449 45.918 45.918 45.918 45.918 45.918 46.939 47.959 47.959 48.98 50 50 50
coh1249:k=26.5306,b=23.4694 45.918 45.918 45.918 45.918 45.918 46.939 47.959 47.959 48.98 50 50 50
coh1250:k=25.5102,b=24.4898 45.918 45.918 45.918 45.918 45.918 46.939 47.959 47.959 48.98 50 50 50
coh1251:k=24.4898,b=25.5102 45.918 45.918 45.918 45.918 45.918 45.918 47.959 47.959 48.98 50 50 50
coh1252:k=23.4694,b=26.5306 44.898 45.918 45.918 45.918 45.918 45.918 47.959 47.959 48.98 50 50 50
coh1253:k=22.449,b=27.551 44.898 45.918 45.918 45.918 45.918 45.918 47.959 47.959 48.98 50 50 50
coh1254:k=21.4286,b=28.5714 44.898 44.898 45.918 45.918 45.918 45.918 47.959 47.959 48.98 50 50 50
coh1255:k=20.4082,b=29.5918 44.898 44.898 44.898 45.918 45.918 45.918 47.959 47.959 48.98 50 50 50
coh1256:k=19.3878,b=30.6122 44.898 44.898 44.898 45.918 45.918 45.918 47.959 47.959 48.98 48.98 50 50
coh1257:k=18.3673,b=31.6327 44.898 44.898 44.898 45.918 45.918 45.918 47.959 47.959 48.98 48.98 50 50
coh1258:k=17.3469,b=32.6531 44.898 44.898 44.898 44.898 45.918 45.918 47.959 47.959 48.98 48.98 50 50
coh1259:k=16.3265,b=33.6735 44.898 44.898 44.898 44.898 45.918 45.918 46.939 47.959 48.98 48.98 50 50
coh1260:k=15.3061,b=34.6939 44.898 44.898 44.898 44.898 45.918 45.918 46.939 47.959 48.98 48.98 50 50
coh1261:k=14.2857,b=35.7143 44.898 44.898 44.898 44.898 44.898 45.918 46.939 47.959 48.98 48.98 50 50
coh1262:k=13.2653,b=36.7347 44.898 44.898 44.898 44.898 44.898 45.918 46.939 47.959 48.98 48.98 50 50
coh1263:k=12.2449,b=37.7551 44.898 44.898 44.898 44.898 44.898 45.918 46.939 47.959 48.98 48.98 50 50
coh1264:k=11.2245,b=38.7755 43.878 44.898 44.898 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1265:k=10.2041,b=39.7959 43.878 43.878 44.898 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1266:k=9.18367,b=40.8163 43.878 43.878 44.898 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1267:k=8.16327,b=41.8367 43.878 43.878 43.878 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1268:k=7.14286,b=42.8571 43.878 43.878 43.878 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1269:k=6.12245,b=43.8776 43.878 43.878 43.878 44.898 44.898 44.898 46.939 47.959 47.959 48.98 50 50
coh1270:k=5.10204,b=44.898 43.878 43.878 43.878 43.878 44.898 44.898 46.939 46.939 47.959 48.98 50 50
coh1271:k=4.08163,b=45.9184 43.878 43.878 43.878 43.878 44.898 44.898 46.939 46.939 47.959 48.98 50 50
coh1272:k=3.06122,b=46.9388 43.878 43.878 43.878 43.878 44.898 44.898 46.939 46.939 47.959 48.98 50 50
coh1273:k=2.04082,b=47.9592 43.878 43.878 43.878 43.878 43.878 44.898 46.939 46.939 47.959 48.98 50 50
coh1274:k=1.02041,b=48.9796 43.878 43.878 43.878 43.878 43.878 44.898 46.939 46.939 47.959 48.98 50 50
coh1275:k=0,b=50 42.857 43.878 43.878 43.878 43.878 44.898 46.939 46.939 47.959 48.98 50 50
end
ans =
Map with properties:
Count: 15
KeyType: char
ValueType: any