152 lines
8.6 KiB
Matlab
152 lines
8.6 KiB
Matlab
function []=display_problematic_vars_Jacobian(problemrow,problemcol,M_,x,type,caller_string)
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% []=display_problematic_vars_Jacobian(problemrow,problemcol,M_,x,caller_string)
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% print the equation numbers and variables associated with problematic entries
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% of the Jacobian
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%
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% INPUTS
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% problemrow [vector] rows associated with problematic entries
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% problemcol [vector] columns associated with problematic entries
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% M_ [matlab structure] Definition of the model.
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% x [vector] point at which the Jacobian was evaluated
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% type [string] 'static' or 'dynamic' depending on the type of
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% Jacobian
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% caller_string [string] contains name of calling function for printing
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%
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% OUTPUTS
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% none.
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%
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% Copyright © 2014-2023 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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skipline();
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if nargin<6
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caller_string='';
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end
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initial_aux_eq_nbr=M_.ramsey_orig_endo_nbr;
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if strcmp(type,'dynamic')
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for ii=1:length(problemrow)
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if problemcol(ii)>max(M_.lead_lag_incidence)
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var_row=2;
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var_index=problemcol(ii)-max(max(M_.lead_lag_incidence));
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else
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[var_row,var_index]=find(M_.lead_lag_incidence==problemcol(ii));
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end
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if var_row==2
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type_string='';
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elseif var_row==1
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type_string='lag of';
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elseif var_row==3
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type_string='lead of';
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end
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if problemcol(ii)<=max(max(M_.lead_lag_incidence)) && var_index<=M_.orig_endo_nbr
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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fprintf('Derivative of Auxiliary Equation %d with respect to %s Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, type_string, M_.endo_names{var_index}, M_.endo_names{var_index}, x(var_index));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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fprintf('Derivative of Equation %d with respect to %s Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, type_string, M_.endo_names{var_index}, M_.endo_names{var_index}, x(var_index));
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end
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elseif problemcol(ii)<=max(max(M_.lead_lag_incidence)) && var_index>M_.orig_endo_nbr % auxiliary vars
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if M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).type==6 %Ramsey Lagrange Multiplier
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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fprintf('Derivative of Auxiliary Equation %d with respect to %s of Langrange multiplier of equation %s (initial value: %g) \n', ...
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eq_nbr, type_string, M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).eq_nbr, x(problemcol(ii)));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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fprintf('Derivative of Equation %d with respect to %s of Langrange multiplier of equation %s (initial value: %g) \n', ...
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eq_nbr, type_string, M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).eq_nbr, x(problemcol(ii)));
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end
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else
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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orig_var_index = M_.aux_vars(1,var_index-M_.orig_endo_nbr).orig_index;
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fprintf('Derivative of Auxiliary Equation %d with respect to %s Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, type_string, M_.endo_names{orig_var_index}, M_.endo_names{orig_var_index}, x(orig_var_index));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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orig_var_index = M_.aux_vars(1,var_index-M_.orig_endo_nbr).orig_index;
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fprintf('Derivative of Equation %d with respect to %s Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, type_string, M_.endo_names{orig_var_index}, M_.endo_names{orig_var_index}, x(orig_var_index));
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end
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end
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elseif problemcol(ii)>max(max(M_.lead_lag_incidence)) && var_index<=M_.exo_nbr
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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fprintf('Derivative of Auxiliary Equation %d with respect to %s shock %s \n', ...
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eq_nbr, type_string, M_.exo_names{var_index});
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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fprintf('Derivative of Equation %d with respect to %s shock %s \n', ...
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eq_nbr, type_string, M_.exo_names{var_index});
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end
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else
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error('display_problematic_vars_Jacobian:: The error should not happen. Please contact the developers')
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end
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end
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fprintf('\n%s The problem most often occurs, because a variable with\n', caller_string)
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fprintf('%s exponent smaller than 0 has been initialized to 0. Taking the derivative\n', caller_string)
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fprintf('%s and evaluating it at the steady state then results in a division by 0.\n', caller_string)
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fprintf('%s If you are using model-local variables (# operator), check their values as well.\n', caller_string)
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elseif strcmp(type, 'static')
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for ii=1:length(problemrow)
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if problemcol(ii)<=M_.orig_endo_nbr
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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fprintf('Derivative of Auxiliary Equation %d with respect to Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, M_.endo_names{problemcol(ii)}, M_.endo_names{problemcol(ii)}, x(problemcol(ii)));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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fprintf('Derivative of Equation %d with respect to Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, M_.endo_names{problemcol(ii)}, M_.endo_names{problemcol(ii)}, x(problemcol(ii)));
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end
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else %auxiliary vars
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if M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).type ==6 %Ramsey Lagrange Multiplier
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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fprintf('Derivative of Auxiliary Equation %d with respect to Lagrange multiplier of equation %d (initial value: %g) \n', ...
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eq_nbr, M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).eq_nbr, x(problemcol(ii)));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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fprintf('Derivative of Equation %d with respect to Lagrange multiplier of equation %d (initial value: %g) \n', ...
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eq_nbr, M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).eq_nbr, x(problemcol(ii)));
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end
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else
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if problemrow(ii)<=initial_aux_eq_nbr
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eq_nbr = problemrow(ii);
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orig_var_index = M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).orig_index;
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fprintf('Derivative of Auxiliary Equation %d with respect to Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, M_.endo_names{orig_var_index}, M_.endo_names{orig_var_index}, x(problemcol(ii)));
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else
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eq_nbr = problemrow(ii)-initial_aux_eq_nbr;
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orig_var_index = M_.aux_vars(1,problemcol(ii)-M_.orig_endo_nbr).orig_index;
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fprintf('Derivative of Equation %d with respect to Variable %s (initial value of %s: %g) \n', ...
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eq_nbr, M_.endo_names{orig_var_index}, M_.endo_names{orig_var_index}, x(problemcol(ii)));
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end
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end
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end
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end
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fprintf('\n%s The problem most often occurs, because a variable with\n', caller_string)
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fprintf('%s exponent smaller than 1 has been initialized to 0. Taking the derivative\n', caller_string)
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fprintf('%s and evaluating it at the steady state then results in a division by 0.\n', caller_string)
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fprintf('%s If you are using model-local variables (# operator), check their values as well.\n', caller_string)
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else
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error('Unknown Type')
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end |