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Define sparseLU functions as static

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Desire NUENTSA
2012-09-25 09:53:40 +02:00
parent 7740127e3d
commit a01371548d
17 changed files with 135 additions and 184 deletions
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15
Eigen/src/SparseLU/SparseLU_Memory.h
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@@ -49,8 +49,9 @@
* \param keep_prev 1: use length and do not expand the vector; 0: compute new_len and expand
* \param [in,out]num_expansions Number of times the memory has been expanded
*/
template <typename VectorType >
int expand(VectorType& vec, int& length, int nbElts, int keep_prev, int& num_expansions)
template <typename Scalar, typename Index>
template <typename VectorType>
int SparseLUBase<Scalar,Index>::expand(VectorType& vec, int& length, int nbElts, int keep_prev, int& num_expansions)
{
float alpha = 1.5; // Ratio of the memory increase
@@ -122,12 +123,9 @@ int expand(VectorType& vec, int& length, int nbElts, int keep_prev, int& num_ex
* \return an estimated size of the required memory if lwork = -1; otherwise, return the size of actually allocated memory when allocation failed, and 0 on success
* NOTE Unlike SuperLU, this routine does not support successive factorization with the same pattern and the same row permutation
*/
template <typename IndexVector,typename ScalarVector>
int LUMemInit(int m, int n, int annz, int lwork, int fillratio, int panel_size, LU_GlobalLU_t<IndexVector,ScalarVector>& glu)
template <typename Scalar, typename Index>
int SparseLUBase<Scalar,Index>::LUMemInit(int m, int n, int annz, int lwork, int fillratio, int panel_size, GlobalLU_t& glu)
{
typedef typename ScalarVector::Scalar Scalar;
typedef typename IndexVector::Scalar Index;
int& num_expansions = glu.num_expansions; //No memory expansions so far
num_expansions = 0;
glu.nzumax = glu.nzlumax = std::max(fillratio * annz, m*n); // estimated number of nonzeros in U
@@ -187,8 +185,9 @@ int LUMemInit(int m, int n, int annz, int lwork, int fillratio, int panel_size,
* \param glu Global data structure
* \return 0 on success, > 0 size of the memory allocated so far
*/
template <typename Scalar, typename Index>
template <typename VectorType>
int LUMemXpand(VectorType& vec, int& maxlen, int nbElts, LU_MemType memtype, int& num_expansions)
int SparseLUBase<Scalar,Index>::LUMemXpand(VectorType& vec, int& maxlen, int nbElts, LU_MemType memtype, int& num_expansions)
{
int failed_size;
if (memtype == USUB)