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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
commitd6e596174d09446236b3f398d8ec39148c638ed9 (patch)
treeccb4116b05dc11d7931bac0129fd1394abe1e0b0 /Eigen/src/SparseLU/SparseLU.h
parent3ca1ae2bb761d7738bcdad885639f422a6b7c914 (diff)
parent833efb39bfe4957934982112fe435ab30a0c3b4f (diff)
Pull latest updates from upstream
Diffstat (limited to 'Eigen/src/SparseLU/SparseLU.h')
-rw-r--r--Eigen/src/SparseLU/SparseLU.h7
1 files changed, 4 insertions, 3 deletions
diff --git a/Eigen/src/SparseLU/SparseLU.h b/Eigen/src/SparseLU/SparseLU.h
index acd3ad100..8d03870b1 100644
--- a/Eigen/src/SparseLU/SparseLU.h
+++ b/Eigen/src/SparseLU/SparseLU.h
@@ -67,7 +67,7 @@ template <typename MatrixLType, typename MatrixUType> struct SparseLUMatrixURetu
*
* \implsparsesolverconcept
*
- * \sa \ref TutorialSparseDirectSolvers
+ * \sa \ref TutorialSparseSolverConcept
* \sa \ref OrderingMethods_Module
*/
template <typename _MatrixType, typename _OrderingType>
@@ -101,7 +101,8 @@ class SparseLU : public SparseSolverBase<SparseLU<_MatrixType,_OrderingType> >,
{
initperfvalues();
}
- explicit SparseLU(const MatrixType& matrix):m_lastError(""),m_Ustore(0,0,0,0,0,0),m_symmetricmode(false),m_diagpivotthresh(1.0),m_detPermR(1)
+ explicit SparseLU(const MatrixType& matrix)
+ : m_lastError(""),m_Ustore(0,0,0,0,0,0),m_symmetricmode(false),m_diagpivotthresh(1.0),m_detPermR(1)
{
initperfvalues();
compute(matrix);
@@ -719,7 +720,7 @@ template<typename MatrixLType, typename MatrixUType>
struct SparseLUMatrixUReturnType : internal::no_assignment_operator
{
typedef typename MatrixLType::Scalar Scalar;
- explicit SparseLUMatrixUReturnType(const MatrixLType& mapL, const MatrixUType& mapU)
+ SparseLUMatrixUReturnType(const MatrixLType& mapL, const MatrixUType& mapU)
: m_mapL(mapL),m_mapU(mapU)
{ }
Index rows() { return m_mapL.rows(); }