dynare/mex/sources/kalman/matlab/minv.cpp

109 lines
3.0 KiB
C++

/*
* Copyright (C) 2008-2009 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/>.
*/
/* derived from c++kalman_filter library by O. Kamenik */
// This provides a matrix inversion
/******************************************************
% function [Tinv] = minv(T)
%
% INPUTS
% T [double] mm*mm transition matrix of the state equation.
% OUTPUTS
% Tinverse [double] mm*mm transition matrix of the state equation.
**********************************************************/
#include "kalman.h"
#include "ts_exception.h"
#include "GeneralMatrix.h"
#include "Vector.h"
#include "SylvException.h"
#include "mex.h"
extern "C" {
void mexFunction(int nlhs, mxArray* plhs[],
int nrhs, const mxArray* prhs[])
{
if (nrhs < 1 )
mexErrMsgTxt("Must have min 1 input parameters.\n");
if (nlhs < 1 )
mexErrMsgTxt("Must have min 1 output parameters.\n")
;
//int start = 1; // default start of likelihood calculation
// test for univariate case
try
{
// make input matrices
ConstGeneralMatrix T(mxGetPr(prhs[0]), mxGetM(prhs[0]), mxGetN(prhs[0]));
// create output and upload output data
plhs[0] = mxCreateDoubleMatrix(mxGetM(prhs[0]), mxGetM(prhs[0]), mxREAL);
// double * mxinv= mxGetPr(plhs[0]);
GeneralMatrix Tinv(mxGetPr(plhs[0]), mxGetM(prhs[0]), mxGetN(prhs[0]));
// Tinv.unit();
// Tinv.zeros();
// make storage for output
#ifdef TIMING_LOOP
int loops=1000;
if (nrhs >1 )
loops = (int)mxGetScalar(prhs[1]);
for (int tt=0;tt<loops;++tt)
{
#endif
Tinv.unit();
T.multInvLeft(Tinv);
//Tinv.print();
#ifdef TIMING_LOOP
}
mexPrintf("minv: finished: %d loops\n",loops);
#endif
// create output and upload output data
/* if (nlhs >= 1)
{
plhs[0] = mxCreateNumericMatrix(mxGetM(prhs[0]), mxGetM(prhs[0]), mxINT32_CLASS, mxREAL);
double * mxinv= mxGetPr(plhs[0]);
// allocate likelihood array
for (int j=0;j<nper;++j)
mxinv[j]=(*vll)[j];
}
*/
}
catch (const TSException& e)
{
mexErrMsgTxt(e.getMessage());
}
catch (SylvException& e)
{
char mes[300];
e.printMessage(mes, 299);
mexErrMsgTxt(mes);
}
} // mexFunction
}; // extern 'C'