41 lines
2.0 KiB
Matlab
41 lines
2.0 KiB
Matlab
function [funcs, feedback_vars_idxs] = setup_time_recursive_block_simul(M_)
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%function [funcs, feedback_vars_idxs] = setup_time_recursive_block_simul(M_)
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%
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% For solve_algo={12,14}, precompute the function handles for per-block dynamic files
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% (it is surprisingly costly to recompute them within simulation loops).
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% Also precompute indices of feedback variables (also brings some performance gains).
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% By the way, do other sanity checks on block decomposition.
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% Copyright © 2022 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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if ~isfield(M_, 'block_structure')
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error('Can''t use solve_algo=12 nor solve_algo=14, because the block decomposition of the dynamic model failed')
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end
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if ~M_.block_structure.time_recursive
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error('Can''t use solve_algo=12 nor solve_algo=14, because the model is not purely backward/static/forward or you gave the ''block'' option to the ''model'' block')
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end
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funcs = cell(length(M_.block_structure.block), 1);
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feedback_vars_idxs = cell(length(M_.block_structure.block), 1);
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for blk = 1:length(M_.block_structure.block)
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funcs{blk} = str2func(sprintf('%s.sparse.block.dynamic_%d', M_.fname, blk));
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feedback_vars_idxs{blk} = M_.endo_nbr+M_.block_structure.block(blk).variable((M_.block_structure.block(blk).endo_nbr-M_.block_structure.block(blk).mfs+1):end); % Indices of feedback variables in the dynamic y vector (of size 3n)
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end
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end
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