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

Replace Eigen type metaprogramming with corresponding std types and make use of alias templates

Browse Source
This commit is contained in:
Erik Schultheis
2022-03-16 16:43:40 +00:00
committed by Antonio Sánchez
parent 514f90c9ff
commit 421cbf0866
191 changed files with 1147 additions and 1221 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
unsupported/Eigen/src/IterativeSolvers/DGMRES.h
View File

@@ -421,7 +421,7 @@ template< typename MatrixType_, typename Preconditioner_>
Index DGMRES<MatrixType_, Preconditioner_>::dgmresComputeDeflationData(const MatrixType& mat, const Preconditioner& precond, const Index& it, StorageIndex& neig) const
{
// First, find the Schur form of the Hessenberg matrix H
typename internal::conditional<NumTraits<Scalar>::IsComplex, ComplexSchur<DenseMatrix>, RealSchur<DenseMatrix> >::type schurofH;
std::conditional_t<NumTraits<Scalar>::IsComplex, ComplexSchur<DenseMatrix>, RealSchur<DenseMatrix> > schurofH;
bool computeU = true;
DenseMatrix matrixQ(it,it);
matrixQ.setIdentity();

6
unsupported/Eigen/src/IterativeSolvers/MINRES.h
View File

@@ -245,12 +245,12 @@ namespace Eigen {
&& (!MatrixType::IsRowMajor)
&& (!NumTraits<Scalar>::IsComplex)
};
typedef typename internal::conditional<TransposeInput,Transpose<const ActualMatrixType>, ActualMatrixType const&>::type RowMajorWrapper;
typedef std::conditional_t<TransposeInput,Transpose<const ActualMatrixType>, ActualMatrixType const&> RowMajorWrapper;
EIGEN_STATIC_ASSERT(internal::check_implication(MatrixWrapper::MatrixFree, UpLo==(Lower|Upper)),MATRIX_FREE_CONJUGATE_GRADIENT_IS_COMPATIBLE_WITH_UPPER_UNION_LOWER_MODE_ONLY);
typedef typename internal::conditional<UpLo==(Lower|Upper),
typedef std::conditional_t<UpLo==(Lower|Upper),
RowMajorWrapper,
typename MatrixWrapper::template ConstSelfAdjointViewReturnType<UpLo>::Type
>::type SelfAdjointWrapper;
> SelfAdjointWrapper;
m_iterations = Base::maxIterations();
m_error = Base::m_tolerance;