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bug #897: fix UmfPack usage with mapped sparse matrices

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(grafted from 1a8dc8514257cb931b1b5bca67004fa2b628133d
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This commit is contained in:
Gael Guennebaud 2014-12-02 13:57:13 +01:00
parent b25b517817
commit e9c5418249
1 changed files with 8 additions and 4 deletions
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12
Eigen/src/UmfPackSupport/UmfPackSupport.h
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@ -192,7 +192,8 @@ class UmfPackLU : internal::noncopyable
* Note that the matrix should be column-major, and in compressed format for best performance.
* \sa SparseMatrix::makeCompressed().
*/
void compute(const MatrixType& matrix)
template<typename InputMatrixType>
void compute(const InputMatrixType& matrix)
{
analyzePattern(matrix);
factorize(matrix);
@ -230,7 +231,8 @@ class UmfPackLU : internal::noncopyable
*
* \sa factorize(), compute()
*/
void analyzePattern(const MatrixType& matrix)
template<typename InputMatrixType>
void analyzePattern(const InputMatrixType& matrix)
{
if(m_symbolic)
umfpack_free_symbolic(&m_symbolic,Scalar());
@ -256,7 +258,8 @@ class UmfPackLU : internal::noncopyable
*
* \sa analyzePattern(), compute()
*/
void factorize(const MatrixType& matrix)
template<typename InputMatrixType>
void factorize(const InputMatrixType& matrix)
{
eigen_assert(m_analysisIsOk && "UmfPackLU: you must first call analyzePattern()");
if(m_numeric)
@ -298,7 +301,8 @@ class UmfPackLU : internal::noncopyable
m_extractedDataAreDirty = true;
}
void grapInput(const MatrixType& mat)
template<typename InputMatrixType>
void grapInput(const InputMatrixType& mat)
{
m_copyMatrix.resize(mat.rows(), mat.cols());
if( ((MatrixType::Flags&RowMajorBit)==RowMajorBit) || sizeof(typename MatrixType::Index)!=sizeof(int) || !mat.isCompressed() )