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Add assertion and warning on the requirements of SparseQR and COLAMDOrdering
(grafted from 98ef44fe55
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@@ -109,7 +109,7 @@ class NaturalOrdering
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* \class COLAMDOrdering
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*
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* Functor computing the \em column \em approximate \em minimum \em degree ordering
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* The matrix should be in column-major format
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* The matrix should be in column-major and \b compressed format (see SparseMatrix::makeCompressed()).
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*/
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template<typename Index>
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class COLAMDOrdering
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@@ -118,10 +118,14 @@ class COLAMDOrdering
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typedef PermutationMatrix<Dynamic, Dynamic, Index> PermutationType;
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typedef Matrix<Index, Dynamic, 1> IndexVector;
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/** Compute the permutation vector form a sparse matrix */
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/** Compute the permutation vector \a perm form the sparse matrix \a mat
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* \warning The input sparse matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
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*/
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template <typename MatrixType>
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void operator() (const MatrixType& mat, PermutationType& perm)
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{
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eigen_assert(mat.isCompressed() && "COLAMDOrdering requires a sparse matrix in compressed mode. Call .makeCompressed() before passing it to COLAMDOrdering");
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Index m = mat.rows();
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Index n = mat.cols();
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Index nnz = mat.nonZeros();
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