function [M,oo,info,ip,ix,ixd]=homotopy3(values, step_nbr, M, options, oo) % function homotopy3(values, step_nbr) % % Implements homotopy (mode 3) for steady-state computation. % Tries first the most extreme values. If it fails to compute the steady % state, the interval between initial and desired values is divided by two % for each parameter. Every time that it is impossible to find a steady % state, the previous interval is divided by two. When one succeed to find % a steady state, the previous interval is multiplied by two. % % INPUTS % values: a matrix with 4 columns, representing the content of % homotopy_setup block, with one variable per line. % Column 1 is variable type (1 for exogenous, 2 for % exogenous deterministic, 4 for parameters) % Column 2 is symbol integer identifier. % Column 3 is initial value, and column 4 is final value. % Column 3 can contain NaNs, in which case previous % initialization of variable will be used as initial value. % step_nbr: maximum number of steps to try before aborting % M struct of model parameters % options struct of options % oo struct of outputs % % OUTPUTS % M struct of model parameters % oo struct of outputs % info return status 0: OK, 1: failed % ip index of parameters % ix index of exogenous variables % ixp index of exogenous deterministic variables % % SPECIAL REQUIREMENTS % none % Copyright (C) 2008-2017 Dynare Team % % This file is part of Dynare. % % Dynare is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % % Dynare is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with Dynare. If not, see . info = []; tol = 1e-8; nv = size(values,1); ip = find(values(:,1) == 4); % Parameters ix = find(values(:,1) == 1); % Exogenous ixd = find(values(:,1) == 2); % Exogenous deterministic if length([ip; ix; ixd]) ~= nv error('HOMOTOPY mode 3: incorrect variable types specified') end % Construct vector of starting values, using previously initialized values % when initial value has not been given in homotopy_setup block last_values = values(:,3); ipn = find(values(:,1) == 4 & isnan(last_values)); last_values(ipn) = M.params(values(ipn, 2)); ixn = find(values(:,1) == 1 & isnan(last_values)); last_values(ixn) = oo.exo_steady_state(values(ixn, 2)); ixdn = find(values(:,1) == 2 & isnan(last_values)); last_values(ixdn) = oo.exo_det_steady_state(values(ixdn, 2)); targetvalues = values(:,4); %if min(abs(targetvalues - last_values)) < tol % error('HOMOTOPY mode 3: distance between initial and final values should be at least %e for all variables', tol) %end iplus = find(targetvalues > last_values); iminus = find(targetvalues < last_values); curvalues = last_values; inc = (targetvalues-last_values)/2; kplus = []; kminus = []; last_values = []; disp('HOMOTOPY mode 3: launching solver at initial point...') iter = 1; while iter <= step_nbr M.params(values(ip,2)) = curvalues(ip); oo.exo_steady_state(values(ix,2)) = curvalues(ix); oo.exo_det_steady_state(values(ixd,2)) = curvalues(ixd); old_ss = oo.steady_state; [steady_state,params,info] = steady_(M,options,oo); if info(1) == 0 oo.steady_state = steady_state; M.params = params; if length([kplus; kminus]) == nv return end if iter == 1 disp('HOMOTOPY mode 3: successful step, now jumping to final point...') else disp('HOMOTOPY mode 3: successful step, now multiplying increment by 2...') end last_values = curvalues; old_params = params; old_exo_steady_state = oo.exo_steady_state; old_exo_det_steady_state = oo.exo_det_steady_state; inc = 2*inc; elseif iter == 1 error('HOMOTOPY mode 3: can''t solve the model at 1st iteration') else disp('HOMOTOPY mode 3: failed step, now dividing increment by 2...') inc = inc/2; oo.steady_state = old_ss; end curvalues = last_values + inc; kplus = find(curvalues(iplus) >= targetvalues(iplus)); curvalues(iplus(kplus)) = targetvalues(iplus(kplus)); kminus = find(curvalues(iminus) <= targetvalues(iminus)); curvalues(iminus(kminus)) = targetvalues(iminus(kminus)); if max(abs(inc)) < tol disp('HOMOTOPY mode 3: failed, increment has become too small') M.params = old_params; oo.exo_steady_state = old_exo_steady_state; oo.exo_det_steady_state = old_exo_det_steady_state; return end iter = iter + 1; end disp('HOMOTOPY mode 3: failed, maximum iterations reached') M.params = old_params; oo.exo_steady_state = old_exo_steady_state; oo.exo_det_steady_state = old_exo_det_steady_state;