mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-02-23 18:20:47 +08:00
Code Issues Packages Projects Releases Wiki Activity

generateTestMatrix can use processTriangularMatrix

Browse Source
This commit is contained in:
Chen-Pang He 2013-07-15 00:43:14 +08:00
parent b8f0364a1c
commit 9be658f701
2 changed files with 31 additions and 37 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

41
unsupported/test/matrix_functions.h
View File

@ -10,27 +10,48 @@
#include "main.h"
#include <unsupported/Eigen/MatrixFunctions>
// For complex matrices, any matrix is fine.
template<typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
struct processTriangularMatrix
{
static void run(MatrixType&, MatrixType&, const MatrixType&)
{ }
};
// For real matrices, make sure none of the eigenvalues are negative.
template<typename MatrixType>
struct processTriangularMatrix<MatrixType,0>
{
static void run(MatrixType& m, MatrixType& T, const MatrixType& U)
{
typedef typename MatrixType::Index Index;
const Index size = m.cols();
for (Index i=0; i < size; ++i) {
if (i == size - 1 || T.coeff(i+1,i) == 0)
T.coeffRef(i,i) = std::abs(T.coeff(i,i));
else
++i;
}
m = U * T * U.transpose();
}
};
template <typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
struct generateTestMatrix;
// for real matrices, make sure none of the eigenvalues are negative
template <typename MatrixType>
struct generateTestMatrix<MatrixType,0>
{
static void run(MatrixType& result, typename MatrixType::Index size)
{
MatrixType mat = MatrixType::Random(size, size);
EigenSolver<MatrixType> es(mat);
typename EigenSolver<MatrixType>::EigenvalueType eivals = es.eigenvalues();
for (typename MatrixType::Index i = 0; i < size; ++i) {
if (eivals(i).imag() == 0 && eivals(i).real() < 0)
eivals(i) = -eivals(i);
}
result = (es.eigenvectors() * eivals.asDiagonal() * es.eigenvectors().inverse()).real();
result = MatrixType::Random(size, size);
RealSchur<MatrixType> schur(result);
MatrixType T = schur.matrixT();
processTriangularMatrix<MatrixType>::run(result, T, schur.matrixU());
}
};
// for complex matrices, any matrix is fine
template <typename MatrixType>
struct generateTestMatrix<MatrixType,1>
{

27
unsupported/test/matrix_power.cpp
View File

@ -96,33 +96,6 @@ void testGeneral(const MatrixType& m, double tol)
}
}
// For complex matrices, any matrix is fine.
template<typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
struct processTriangularMatrix
{
static void run(MatrixType&, MatrixType&, const MatrixType&)
{ }
};
// For real matrices, make sure none of the eigenvalues are negative.
template<typename MatrixType>
struct processTriangularMatrix<MatrixType,0>
{
static void run(MatrixType& m, MatrixType& T, const MatrixType& U)
{
typedef typename MatrixType::Index Index;
const Index size = m.cols();
for (Index i=0; i < size; ++i) {
if (i == size - 1 || T.coeff(i+1,i) == 0)
T.coeffRef(i,i) = std::abs(T.coeff(i,i));
else
++i;
}
m = U * T * U.adjoint();
}
};
template<typename MatrixType>
void testSingular(MatrixType m, double tol)
{