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Remove useless semicolons 

Detected and automatically fixed by MATLAB Code Analyzer app.
covariance-quadratic-approximation
Sébastien Villemot 2023-12-15 15:44:34 +01:00
parent 162ca815bc
commit 458926b17b
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GPG Key ID: 2CECE9350ECEBE4A
5 changed files with 9 additions and 9 deletions
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2
license.txt
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@ -151,7 +151,7 @@ Comment: The original author gave authorization to change
Files: matlab/+pruned_SS/prodmom.m matlab/+pruned_SS/bivmom.m
Copyright: 2008-2015 Raymond Kan <kan@chass.utoronto.ca>
2019-2020 Dynare Team
2019-2023 Dynare Team
License: GPL-3+
Comment: The author gave authorization to redistribute
these functions under GPL-3+ with Dynare and would

6
matlab/+pruned_SS/prodmom.m
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@ -21,7 +21,7 @@
% Multivariate Analysis, 2008, vol. 99, issue 3, pages 542-554.
% =========================================================================
% Copyright © 2008-2015 Raymond Kan <kan@chass.utoronto.ca>
% Copyright © 2019-2020 Dynare Team
% Copyright © 2019-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -38,7 +38,7 @@
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
% =========================================================================
function y = prodmom(V,ii,nu);
function y = prodmom(V,ii,nu)
if nargin<3
nu = ones(size(ii));
end
@ -104,4 +104,4 @@ for i=1:fix(prod(nu+1)/2)
end
end
end
y = y/prod([1:s2]);
y = y/prod([1:s2]);

4
matlab/discretionary_policy/discretionary_policy_engine.m
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@ -48,7 +48,7 @@ function [H,G,retcode]=discretionary_policy_engine(AAlag,AA0,AAlead,BB,bigw,inst
% Dennis, Richard (2007): Optimal policy in rational expectations models: new solution algorithms,
% Macroeconomic Dynamics, 11, 31–55.
% Copyright © 2007-2018 Dynare Team
% Copyright © 2007-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -189,7 +189,7 @@ function [rcode,NQ]=CheckConvergence(Q,iter,MaxIter,crit)
NQ=max(max(abs(Q)));% norm(Q); seems too costly
if isnan(NQ)
rcode=3;
elseif iter>MaxIter;
elseif iter>MaxIter
rcode=2;
elseif NQ<crit
rcode=1;

2
matlab/perfect-foresight-models/det_cond_forecast.m
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@ -888,7 +888,7 @@ else
% in case of mixed surprise and perfect foresight on the
% endogenous path, at each date all the exogenous paths have to be
% stored. The paths are stacked in exo.
for time = time_index_constraint;
for time = time_index_constraint
exo(past_val + time,j_pos) = oo_.exo_simul(time,j_pos);
end
else

4
matlab/print_expectations.m
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@ -24,7 +24,7 @@ function print_expectations(eqname, expectationmodelname, expectationmodelkind,
%
% The variable expectationmodelkind can take two values 'var' or 'pac'.
% Copyright © 2018-2021 Dynare Team
% Copyright © 2018-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -347,7 +347,7 @@ for i=1:maxlag
for k=1:length(expectationmodel.components)
parameter = M_.params(expectationmodel.components(k).h_param_indices(id));
if parameter>=0
expressions{k} = sprintf('%s+%1.16f*%s', expressions{k}, parameter, variable);;
expressions{k} = sprintf('%s+%1.16f*%s', expressions{k}, parameter, variable);
else
expressions{k} = sprintf('%s-%1.16f*%s', expressions{k}, -parameter, variable);
end