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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
commitd6e596174d09446236b3f398d8ec39148c638ed9 (patch)
treeccb4116b05dc11d7931bac0129fd1394abe1e0b0 /Eigen/src/SparseCholesky/SimplicialCholesky.h
parent3ca1ae2bb761d7738bcdad885639f422a6b7c914 (diff)
parent833efb39bfe4957934982112fe435ab30a0c3b4f (diff)
Pull latest updates from upstream
Diffstat (limited to 'Eigen/src/SparseCholesky/SimplicialCholesky.h')
-rw-r--r--Eigen/src/SparseCholesky/SimplicialCholesky.h10
1 files changed, 4 insertions, 6 deletions
diff --git a/Eigen/src/SparseCholesky/SimplicialCholesky.h b/Eigen/src/SparseCholesky/SimplicialCholesky.h
index 1343eb15c..2907f6529 100644
--- a/Eigen/src/SparseCholesky/SimplicialCholesky.h
+++ b/Eigen/src/SparseCholesky/SimplicialCholesky.h
@@ -39,18 +39,16 @@ namespace internal {
} // end namespace internal
/** \ingroup SparseCholesky_Module
- * \brief A direct sparse Cholesky factorizations
+ * \brief A base class for direct sparse Cholesky factorizations
*
- * These classes provide LL^T and LDL^T Cholesky factorizations of sparse matrices that are
- * selfadjoint and positive definite. The factorization allows for solving A.X = B where
+ * This is a base class for LL^T and LDL^T Cholesky factorizations of sparse matrices that are
+ * selfadjoint and positive definite. These factorizations allow for solving A.X = B where
* X and B can be either dense or sparse.
*
* In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization
* such that the factorized matrix is P A P^-1.
*
- * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
- * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
- * or Upper. Default is Lower.
+ * \tparam Derived the type of the derived class, that is the actual factorization type.
*
*/
template<typename Derived>