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

Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), innerStride(), outerStride(), and size()

Browse Source
This commit is contained in:
Steve Bronder
2021-03-04 18:58:08 +00:00
committed by Rasmus Munk Larsen
parent 5bfc67f9e7
commit 6cbb3038ac
60 changed files with 856 additions and 846 deletions
Download Patch File Download Diff File Expand all files Collapse all files

30
Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h
View File

@@ -10,7 +10,7 @@
#ifndef EIGEN_BASIC_PRECONDITIONERS_H
#define EIGEN_BASIC_PRECONDITIONERS_H
namespace Eigen {
namespace Eigen {
/** \ingroup IterativeLinearSolvers_Module
* \brief A preconditioner based on the digonal entries
@@ -52,15 +52,15 @@ class DiagonalPreconditioner
compute(mat);
}
Index rows() const { return m_invdiag.size(); }
Index cols() const { return m_invdiag.size(); }
EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_invdiag.size(); }
EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_invdiag.size(); }
template<typename MatType>
DiagonalPreconditioner& analyzePattern(const MatType& )
{
return *this;
}
template<typename MatType>
DiagonalPreconditioner& factorize(const MatType& mat)
{
@@ -77,7 +77,7 @@ class DiagonalPreconditioner
m_isInitialized = true;
return *this;
}
template<typename MatType>
DiagonalPreconditioner& compute(const MatType& mat)
{
@@ -99,7 +99,7 @@ class DiagonalPreconditioner
&& "DiagonalPreconditioner::solve(): invalid number of rows of the right hand side matrix b");
return Solve<DiagonalPreconditioner, Rhs>(*this, b.derived());
}
ComputationInfo info() { return Success; }
protected:
@@ -121,7 +121,7 @@ class DiagonalPreconditioner
* \implsparsesolverconcept
*
* The diagonal entries are pre-inverted and stored into a dense vector.
*
*
* \sa class LeastSquaresConjugateGradient, class DiagonalPreconditioner
*/
template <typename _Scalar>
@@ -146,7 +146,7 @@ class LeastSquareDiagonalPreconditioner : public DiagonalPreconditioner<_Scalar>
{
return *this;
}
template<typename MatType>
LeastSquareDiagonalPreconditioner& factorize(const MatType& mat)
{
@@ -178,13 +178,13 @@ class LeastSquareDiagonalPreconditioner : public DiagonalPreconditioner<_Scalar>
Base::m_isInitialized = true;
return *this;
}
template<typename MatType>
LeastSquareDiagonalPreconditioner& compute(const MatType& mat)
{
return factorize(mat);
}
ComputationInfo info() { return Success; }
protected:
@@ -205,19 +205,19 @@ class IdentityPreconditioner
template<typename MatrixType>
explicit IdentityPreconditioner(const MatrixType& ) {}
template<typename MatrixType>
IdentityPreconditioner& analyzePattern(const MatrixType& ) { return *this; }
template<typename MatrixType>
IdentityPreconditioner& factorize(const MatrixType& ) { return *this; }
template<typename MatrixType>
IdentityPreconditioner& compute(const MatrixType& ) { return *this; }
template<typename Rhs>
inline const Rhs& solve(const Rhs& b) const { return b; }
ComputationInfo info() { return Success; }
};