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| author | Sergey Sharybin <sergey.vfx@gmail.com> | 2014-03-21 14:04:53 +0400 |
|---|---|---|
| committer | Sergey Sharybin <sergey.vfx@gmail.com> | 2014-03-21 14:04:53 +0400 |
| commit | 3411146984316c97f56543333a46f47aeb7f9d35 (patch) | |
| tree | 5de608a3c18ff2a5459fd2191609dd882ad86213 /extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h | |
| parent | 1781928f9d720fa1dc4811afb69935b35aa89878 (diff) | |
Update Eigen to version 3.2.1
Main purpose of this is to have SparseLU solver which
we can use now as a replacement to opennl library.
Diffstat (limited to 'extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h')
| -rw-r--r-- | extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h b/extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h index 6a555b83434..cf766307008 100644 --- a/extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h +++ b/extern/Eigen3/Eigen/src/SparseCore/SparseProduct.h @@ -16,6 +16,7 @@ template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType { typedef typename internal::traits<Lhs>::Scalar Scalar; + typedef typename internal::traits<Lhs>::Index Index; enum { LhsRowMajor = internal::traits<Lhs>::Flags & RowMajorBit, RhsRowMajor = internal::traits<Rhs>::Flags & RowMajorBit, @@ -24,11 +25,11 @@ struct SparseSparseProductReturnType }; typedef typename internal::conditional<TransposeLhs, - SparseMatrix<Scalar,0>, + SparseMatrix<Scalar,0,Index>, typename internal::nested<Lhs,Rhs::RowsAtCompileTime>::type>::type LhsNested; typedef typename internal::conditional<TransposeRhs, - SparseMatrix<Scalar,0>, + SparseMatrix<Scalar,0,Index>, typename internal::nested<Rhs,Lhs::RowsAtCompileTime>::type>::type RhsNested; typedef SparseSparseProduct<LhsNested, RhsNested> Type; @@ -99,15 +100,16 @@ class SparseSparseProduct : internal::no_assignment_operator, } template<typename Lhs, typename Rhs> - EIGEN_STRONG_INLINE SparseSparseProduct(const Lhs& lhs, const Rhs& rhs, RealScalar tolerance) + EIGEN_STRONG_INLINE SparseSparseProduct(const Lhs& lhs, const Rhs& rhs, const RealScalar& tolerance) : m_lhs(lhs), m_rhs(rhs), m_tolerance(tolerance), m_conservative(false) { init(); } - SparseSparseProduct pruned(Scalar reference = 0, RealScalar epsilon = NumTraits<RealScalar>::dummy_precision()) const + SparseSparseProduct pruned(const Scalar& reference = 0, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision()) const { - return SparseSparseProduct(m_lhs,m_rhs,internal::abs(reference)*epsilon); + using std::abs; + return SparseSparseProduct(m_lhs,m_rhs,abs(reference)*epsilon); } template<typename Dest> |