2020-06-19 18:34:48 +02:00
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function r = lnsrch1_wrapper_one_boundary(ya, ll_index, fname, blk, y, x, params, steady_state, T, it_)
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2009-12-21 11:29:21 +01:00
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% wrapper for solve_one_boundary m-file when it is used with a dynamic
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% model
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%
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% INPUTS
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% ya [vector] The endogenous of the current block
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2020-06-17 16:48:40 +02:00
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% ll_index [vector] M_.lead_lag_incidence(M_.maximum_endo_lag+1, :)
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2020-06-19 18:34:48 +02:00
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% fname [string] name of the static/dynamic file
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% blk [int] block number
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2020-06-17 16:48:40 +02:00
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% y [vector] Dynamic endogenous variables of the model
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2009-12-21 11:29:21 +01:00
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% x [matrix] All the exogenous variables of the model
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% params [vector] All the parameters of the model
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2020-05-26 16:23:46 +02:00
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% steady_state [vector] steady state of the model
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2020-06-17 16:48:40 +02:00
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% T [vector] Temporary terms
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2009-12-21 11:29:21 +01:00
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% OUTPUTS
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2017-05-16 15:10:20 +02:00
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% r [vector] The residuals of the current block
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%
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2009-12-21 11:29:21 +01:00
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% ALGORITHM
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% none.
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2017-05-16 15:10:20 +02:00
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%
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2009-12-21 11:29:21 +01:00
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% SPECIAL REQUIREMENTS
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% none.
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2017-05-16 15:10:20 +02:00
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%
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2009-12-21 11:29:21 +01:00
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2020-05-26 16:23:46 +02:00
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% Copyright (C) 2009-2020 Dynare Team
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2009-12-21 11:29:21 +01:00
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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 <http://www.gnu.org/licen
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2020-06-17 16:48:40 +02:00
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y2(nonzeros(ll_index)) = ya(find(ll_index));
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2020-06-19 18:34:48 +02:00
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[r, ~, ~, g1]=feval(fname, blk, y, x, params, steady_state, T, it_, false);
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