dynare/mex/sources/libkorder/sylv/SymSchurDecomp.cc

116 lines
3.4 KiB
C++

/*
* Copyright © 2004-2011 Ondra Kamenik
* Copyright © 2019-2023 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 <https://www.gnu.org/licenses/>.
*/
#include "SymSchurDecomp.hh"
#include "SylvException.hh"
#include <dynlapack.h>
#include <algorithm>
#include <cmath>
#include <vector>
SymSchurDecomp::SymSchurDecomp(const ConstGeneralMatrix& mata) :
lambda(mata.nrows()), q(mata.nrows())
{
// check mata is square
if (mata.nrows() != mata.ncols())
throw SYLV_MES_EXCEPTION("Matrix is not square in SymSchurDecomp constructor");
// prepare for dsyevr
lapack_int n = mata.nrows();
GeneralMatrix tmpa(mata);
double* a = tmpa.base();
lapack_int lda = tmpa.getLD();
double dum;
double* vl = &dum;
double* vu = &dum;
lapack_int idum;
lapack_int* il = &idum;
lapack_int* iu = &idum;
double abstol = 0.0;
lapack_int m = n;
double* w = lambda.base();
double* z = q.base();
lapack_int ldz = q.getLD();
std::vector<lapack_int> isuppz(2 * std::max(1, static_cast<int>(m)));
double tmpwork;
lapack_int lwork = -1;
lapack_int tmpiwork;
lapack_int liwork = -1;
lapack_int info;
// query for lwork and liwork
dsyevr("V", "A", "U", &n, a, &lda, vl, vu, il, iu, &abstol, &m, w, z, &ldz, isuppz.data(),
&tmpwork, &lwork, &tmpiwork, &liwork, &info);
lwork = static_cast<lapack_int>(tmpwork);
liwork = tmpiwork;
// allocate work arrays
std::vector<double> work(lwork);
std::vector<lapack_int> iwork(liwork);
// do the calculation
dsyevr("V", "A", "U", &n, a, &lda, vl, vu, il, iu, &abstol, &m, w, z, &ldz, isuppz.data(),
work.data(), &lwork, iwork.data(), &liwork, &info);
if (info < 0)
throw SYLV_MES_EXCEPTION("Internal error in SymSchurDecomp constructor");
if (info > 0)
throw SYLV_MES_EXCEPTION("Internal LAPACK error in DSYEVR");
}
void
SymSchurDecomp::getFactor(GeneralMatrix& f) const
{
if (f.nrows() != q.nrows())
throw SYLV_MES_EXCEPTION("Wrong dimension of factor matrix in SymSchurDecomp::getFactor");
if (f.nrows() != f.ncols())
throw SYLV_MES_EXCEPTION("Factor matrix is not square in SymSchurDecomp::getFactor");
if (!isPositiveSemidefinite())
throw SYLV_MES_EXCEPTION(
"Symmetric decomposition not positive semidefinite in SymSchurDecomp::getFactor");
f = q;
for (int i = 0; i < f.ncols(); i++)
{
Vector fi {f.getCol(i)};
fi.mult(std::sqrt(lambda[i]));
}
}
/* LAPACK says that eigenvalues are ordered in ascending order, but we
do not rely on it */
bool
SymSchurDecomp::isPositiveSemidefinite() const
{
for (int i = 0; i < lambda.length(); i++)
if (lambda[i] < 0)
return false;
return true;
}
void
SymSchurDecomp::correctDefinitness(double tol)
{
for (int i = 0; i < lambda.length(); i++)
if (lambda[i] < 0 && lambda[i] > -tol)
lambda[i] = 0.0;
}