diff options
Diffstat (limited to 'Eigen/src/SparseLU')
-rw-r--r-- | Eigen/src/SparseLU/SparseLU_Memory.h | 9 | ||||
-rw-r--r-- | Eigen/src/SparseLU/SparseLU_heap_relax_snode.h | 1 | ||||
-rw-r--r-- | Eigen/src/SparseLU/SparseLU_panel_dfs.h | 8 | ||||
-rw-r--r-- | Eigen/src/SparseLU/SparseLU_pivotL.h | 2 | ||||
-rw-r--r-- | Eigen/src/SparseLU/SparseLU_relax_snode.h | 1 |
5 files changed, 14 insertions, 7 deletions
diff --git a/Eigen/src/SparseLU/SparseLU_Memory.h b/Eigen/src/SparseLU/SparseLU_Memory.h index 74cb348bf..049d5e694 100644 --- a/Eigen/src/SparseLU/SparseLU_Memory.h +++ b/Eigen/src/SparseLU/SparseLU_Memory.h @@ -122,8 +122,10 @@ int SparseLUBase<Scalar,Index>::expand(VectorType& vec, int& length, int nbElts * \param annz number of initial nonzeros in the matrix * \param lwork if lwork=-1, this routine returns an estimated size of the required memory * \param glu persistent data to facilitate multiple factors : will be deleted later ?? + * \param fillratio estimated ratio of fill in the factors + * \param panel_size Size of a panel * \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 + * \note Unlike SuperLU, this routine does not support successive factorization with the same pattern and the same row permutation */ 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) @@ -182,9 +184,10 @@ int SparseLUBase<Scalar,Index>::LUMemInit(int m, int n, int annz, int lwork, int /** * \brief Expand the existing storage * \param vec vector to expand - * \param [in,out]maxlen On input, previous size of vec (Number of elements to copy ). on output, new size + * \param[in,out] maxlen On input, previous size of vec (Number of elements to copy ). on output, new size * \param nbElts current number of elements in the vector. - * \param glu Global data structure + * \param memtype Type of the element to expand + * \param num_expansions Number of expansions * \return 0 on success, > 0 size of the memory allocated so far */ template <typename Scalar, typename Index> diff --git a/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h b/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h index b2be9e85a..a1ea5bc06 100644 --- a/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h +++ b/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h @@ -35,6 +35,7 @@ namespace Eigen { * * This routine applied to a symmetric elimination tree. * It assumes that the matrix has been reordered according to the postorder of the etree + * \param n The number of columns * \param et elimination tree * \param relax_columns Maximum number of columns allowed in a relaxed snode * \param descendants Number of descendants of each node in the etree diff --git a/Eigen/src/SparseLU/SparseLU_panel_dfs.h b/Eigen/src/SparseLU/SparseLU_panel_dfs.h index 9db4f8479..16e04423b 100644 --- a/Eigen/src/SparseLU/SparseLU_panel_dfs.h +++ b/Eigen/src/SparseLU/SparseLU_panel_dfs.h @@ -208,9 +208,11 @@ void SparseLUBase<Scalar,Index>::LU_dfs_kernel(const int jj, IndexVector& perm_r * \param[out] panel_lsub Subscripts of the row in the panel * \param[out] segrep Segment representative i.e first nonzero row of each segment * \param[out] repfnz First nonzero location in each row - * \param[out] xprune - * \param[out] marker - * + * \param[out] xprune The pruned elimination tree + * \param[out] marker work vector + * \param parent The elimination tree + * \param xplore work vector + * \param glu The global data structure * */ diff --git a/Eigen/src/SparseLU/SparseLU_pivotL.h b/Eigen/src/SparseLU/SparseLU_pivotL.h index 67e748026..69472da9b 100644 --- a/Eigen/src/SparseLU/SparseLU_pivotL.h +++ b/Eigen/src/SparseLU/SparseLU_pivotL.h @@ -47,7 +47,7 @@ namespace Eigen { * Note: If you absolutely want to use a given pivot order, then set u=0.0. * * \param jcol The current column of L - * \param u diagonal pivoting threshold + * \param diagpivotthresh diagonal pivoting threshold * \param[in,out] perm_r Row permutation (threshold pivoting) * \param[in] iperm_c column permutation - used to finf diagonal of Pc*A*Pc' * \param[out] pivrow The pivot row diff --git a/Eigen/src/SparseLU/SparseLU_relax_snode.h b/Eigen/src/SparseLU/SparseLU_relax_snode.h index 0700b3d42..44b279878 100644 --- a/Eigen/src/SparseLU/SparseLU_relax_snode.h +++ b/Eigen/src/SparseLU/SparseLU_relax_snode.h @@ -35,6 +35,7 @@ namespace Eigen { * * This routine is applied to a column elimination tree. * It assumes that the matrix has been reordered according to the postorder of the etree + * \param n the number of columns * \param et elimination tree * \param relax_columns Maximum number of columns allowed in a relaxed snode * \param descendants Number of descendants of each node in the etree |