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Fix documentation for SparseLU
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@@ -122,8 +122,10 @@ int SparseLUBase<Scalar,Index>::expand(VectorType& vec, int& length, int nbElts
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* \param annz number of initial nonzeros in the matrix
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* \param lwork if lwork=-1, this routine returns an estimated size of the required memory
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* \param glu persistent data to facilitate multiple factors : will be deleted later ??
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* \param fillratio estimated ratio of fill in the factors
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* \param panel_size Size of a panel
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* \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
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* NOTE Unlike SuperLU, this routine does not support successive factorization with the same pattern and the same row permutation
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* \note Unlike SuperLU, this routine does not support successive factorization with the same pattern and the same row permutation
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*/
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template <typename Scalar, typename Index>
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int SparseLUBase<Scalar,Index>::LUMemInit(int m, int n, int annz, int lwork, int fillratio, int panel_size, GlobalLU_t& glu)
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@@ -182,9 +184,10 @@ int SparseLUBase<Scalar,Index>::LUMemInit(int m, int n, int annz, int lwork, int
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/**
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* \brief Expand the existing storage
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* \param vec vector to expand
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* \param [in,out]maxlen On input, previous size of vec (Number of elements to copy ). on output, new size
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* \param[in,out] maxlen On input, previous size of vec (Number of elements to copy ). on output, new size
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* \param nbElts current number of elements in the vector.
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* \param glu Global data structure
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* \param memtype Type of the element to expand
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* \param num_expansions Number of expansions
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* \return 0 on success, > 0 size of the memory allocated so far
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*/
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template <typename Scalar, typename Index>
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