From cfc6957625f9a306b15b689af8ad0683fd86f956 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20Adjemian=20=28Charybdis=29?=
<stephane.adjemian@univ-lemans.fr>
Date: Tue, 3 May 2016 15:50:02 +0200
Subject: [PATCH] Cosmetic changes.
---
matlab/ep/extended_path_core.m | 22 +++++++++++-----------
1 file changed, 11 insertions(+), 11 deletions(-)
diff --git a/matlab/ep/extended_path_core.m b/matlab/ep/extended_path_core.m
index f2bc8392d6..bc39e81fc0 100644
--- a/matlab/ep/extended_path_core.m
+++ b/matlab/ep/extended_path_core.m
@@ -22,6 +22,7 @@ function [y, info_convergence, endogenousvariablespaths] = extended_path_core(pe
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
ep = options.ep;
+
if init% Compute first order solution (Perturbation)...
endo_simul = simult_(initial_conditions,oo.dr,exo_simul(2:end,:),1);
else
@@ -40,9 +41,9 @@ if debug
end
if bytecode_flag && ~ep.stochastic.order
- [flag,tmp] = bytecode('dynamic',endo_simul,exo_simul, M_.params, endo_simul, periods);
+ [flag, tmp] = bytecode('dynamic', endo_simul, exo_simul, M_.params, endo_simul, periods);
else
- flag = 1;
+ flag = true;
end
if flag
@@ -67,11 +68,9 @@ if flag
endo_simul = repmat(steady_state,1,periods+1);
for i = 1:10
weight = i/10;
- oo.endo_simul = [weight*initial_conditions + (1-weight)*steady_state ...
- endo_simul];
- oo.exo_simul = repmat((1-weight)*oo.exo_steady_state', ...
- size(oo.exo_simul,1),1) + weight*exo_orig;
- [tmp,flag] = perfect_foresight_solver_core(M,options,oo);
+ oo.endo_simul = [weight*initial_conditions + (1-weight)*steady_state endo_simul];
+ oo.exo_simul = repmat((1-weight)*oo.exo_steady_state', size(oo.exo_simul,1),1) + weight*exo_orig;
+ [tmp, flag] = perfect_foresight_solver_core(M, options, oo);
disp([i,flag])
if ~flag
break
@@ -83,16 +82,17 @@ if flag
else
switch(algo)
case 0
- [flag,endo_simul] = ...
- solve_stochastic_perfect_foresight_model(endo_simul,exo_simul,pfm,ep.stochastic.quadrature.nodes,ep.stochastic.order);
+ [flag, endo_simul] = ...
+ solve_stochastic_perfect_foresight_model(endo_simul, exo_simul, pfm, ep.stochastic.quadrature.nodes, ep.stochastic.order);
case 1
- [flag,endo_simul] = ...
- solve_stochastic_perfect_foresight_model_1(endo_simul,exo_simul,options,pfm,ep.stochastic.order);
+ [flag, endo_simul] = ...
+ solve_stochastic_perfect_foresight_model_1(endo_simul, exo_simul, options, pfm, ep.stochastic.order);
end
tmp.endo_simul = endo_simul;
info_convergence = ~flag;
end
end
+
if info_convergence
y = tmp.endo_simul(:,2);
else
--
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