File: commutation.m

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function k = commutation(n, m, sparseflag)
% k = commutation(n, m, sparseflag)
% -------------------------------------------------------------------------
% Returns Magnus and Neudecker's commutation matrix of dimensions n by m,
% that solves k*vec(X)=vec(X')
% =========================================================================
% INPUTS
%   n:          [integer] row number of original matrix
%   m:          [integer] column number of original matrix
%   sparseflag: [integer] whether to use sparse matrices (=1) or not (else)
% -------------------------------------------------------------------------
% OUTPUTS
%   k:          [n by m] commutation matrix
% -------------------------------------------------------------------------
% This function is called by
%   * get_perturbation_params_derivs.m (previously getH.m)
%   * get_identification_jacobians.m (previously getJJ.m)
%   * pruned_state_space_system.m
% -------------------------------------------------------------------------
% This function calls
%   * vec (embedded)
% =========================================================================
% Copyright (C) 1997 Tom Minka <minka@microsoft.com>
% Copyright (C) 2019-2020 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 <http://www.gnu.org/licenses/>.
% =========================================================================
% Original author: Thomas P Minka (tpminka@media.mit.edu), April 22, 2013

if nargin < 2
    m = n(2);
    n = n(1);
end
if nargin < 3
    sparseflag = 0;
end

if sparseflag
    k = reshape(kron(vec(speye(n)), speye(m)), n*m, n*m);
else
    k = reshape(kron(vec(eye(n)), eye(m)), n*m, n*m);
end

function V = vec(A)
    V = A(:);
end

end