devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Clang-format tests, examples, libraries, benchmarks, etc.

Browse Source
This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
Download Patch File Download Diff File Expand all files Collapse all files

39
unsupported/test/matrix_functions.h
View File

@@ -11,24 +11,20 @@
#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&)
{ }
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)
{
template <typename MatrixType>
struct processTriangularMatrix<MatrixType, 0> {
static void run(MatrixType& m, MatrixType& T, const MatrixType& U) {
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));
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;
}
@@ -40,10 +36,8 @@ template <typename MatrixType, int IsComplex = NumTraits<typename internal::trai
struct generateTestMatrix;
template <typename MatrixType>
struct generateTestMatrix<MatrixType,0>
{
static void run(MatrixType& result, typename MatrixType::Index size)
{
struct generateTestMatrix<MatrixType, 0> {
static void run(MatrixType& result, typename MatrixType::Index size) {
result = MatrixType::Random(size, size);
RealSchur<MatrixType> schur(result);
MatrixType T = schur.matrixT();
@@ -52,16 +46,11 @@ struct generateTestMatrix<MatrixType,0>
};
template <typename MatrixType>
struct generateTestMatrix<MatrixType,1>
{
static void run(MatrixType& result, typename MatrixType::Index size)
{
result = MatrixType::Random(size, size);
}
struct generateTestMatrix<MatrixType, 1> {
static void run(MatrixType& result, typename MatrixType::Index size) { result = MatrixType::Random(size, size); }
};
template <typename Derived, typename OtherDerived>
typename Derived::RealScalar relerr(const MatrixBase<Derived>& A, const MatrixBase<OtherDerived>& B)
{
typename Derived::RealScalar relerr(const MatrixBase<Derived>& A, const MatrixBase<OtherDerived>& B) {
return std::sqrt((A - B).cwiseAbs2().sum() / (std::min)(A.cwiseAbs2().sum(), B.cwiseAbs2().sum()));
}