function [endogenousvariables, info] = sim1_purely_static(endogenousvariables, exogenousvariables, steadystate, M, options) % Performs deterministic simulation of a purely static model % Copyright © 2021-2022 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 . if nnz(M.lead_lag_incidence(1,:)) ~= M.endo_nbr error('All endogenous variables must appear at the current period!') end if ismember(options.solve_algo, [12,14]) [funcs, feedback_vars_idxs] = setup_time_recursive_block_simul(M); else dynamicmodel = str2func(sprintf('%s.%s', M.fname, 'dynamic')); dynamicmodel_s = str2func('dynamic_static_model_for_simulation'); end function [r, J] = block_wrapper(z, feedback_vars_idx, func, y_dynamic, x, sparse_rowval, sparse_colval, sparse_colptr, T) % NB: do as few computations as possible inside this function, since it is % called a very large number of times y_dynamic(feedback_vars_idx) = z; [~, ~, r, J] = feval(func, y_dynamic, x, M.params, steadystate, ... sparse_rowval, sparse_colval, sparse_colptr, T); end info.status = true; y = endogenousvariables(:,1); for it = 1:options.periods if ismember(options.solve_algo, [12,14]) x = exogenousvariables(it,:); T = NaN(M.block_structure.dyn_tmp_nbr); y_dynamic = [NaN(M.endo_nbr, 1); y; NaN(M.endo_nbr, 1)]; for blk = 1:length(M.block_structure.block) sparse_rowval = M.block_structure.block(blk).g1_sparse_rowval; sparse_colval = M.block_structure.block(blk).g1_sparse_colval; sparse_colptr = M.block_structure.block(blk).g1_sparse_colptr; if M.block_structure.block(blk).Simulation_Type ~= 1 % Not an evaluate forward block [z, check, ~, ~, errorcode] = dynare_solve(@block_wrapper, y_dynamic(feedback_vars_idxs{blk}), ... options.simul.maxit, options.dynatol.f, ... options.dynatol.x, options, ... feedback_vars_idxs{blk}, funcs{blk}, y_dynamic, x, sparse_rowval, sparse_colval, sparse_colptr, T); if check info.status = false; if options.debug dprintf('sim1_purely_static: Nonlinear solver routine failed with errorcode=%i in block %i and period %i.', errorcode, blk, it) end end y_dynamic(feedback_vars_idxs{blk}) = z; end %% Compute endogenous if the block is of type evaluate or if there are recursive variables in a solve block. %% Also update the temporary terms vector. [y_dynamic, T] = feval(funcs{blk}, y_dynamic, x, M.params, ... steadystate, sparse_rowval, sparse_colval, ... sparse_colptr, T); end endogenousvariables(:,it) = y_dynamic(M.endo_nbr+(1:M.endo_nbr)); else [tmp, check, ~, ~, errorcode] = dynare_solve(dynamicmodel_s, y, ... options.simul.maxit, options.dynatol.f, options.dynatol.x, ... options, dynamicmodel, exogenousvariables, M.params, steadystate, it); if check info.status = false; if options.debug dprintf('sim1_purely_static: Nonlinear solver routine failed with errorcode=%i in period %i.', errorcode, it) end end endogenousvariables(:,it) = tmp; end y = endogenousvariables(:,it); end end