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authorGravatar Gael Guennebaud <g.gael@free.fr>2012-12-24 13:33:22 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2012-12-24 13:33:22 +0100
commitf41d96deb9b64e74cd2d8c48a698f4443ce9bbab (patch)
treebb36884185b0bfa99c16338403fc5736cbd7eba9 /Eigen/src/UmfPackSupport
parentf450303321c4d37d908d5d9e6fcf480f27bf53e3 (diff)
Fix several documentation issues
Diffstat (limited to 'Eigen/src/UmfPackSupport')
-rw-r--r--Eigen/src/UmfPackSupport/UmfPackSupport.h2
1 files changed, 1 insertions, 1 deletions
diff --git a/Eigen/src/UmfPackSupport/UmfPackSupport.h b/Eigen/src/UmfPackSupport/UmfPackSupport.h
index f01720362..22d049089 100644
--- a/Eigen/src/UmfPackSupport/UmfPackSupport.h
+++ b/Eigen/src/UmfPackSupport/UmfPackSupport.h
@@ -114,7 +114,7 @@ inline int umfpack_get_determinant(std::complex<double> *Mx, double *Ex, void *N
* using the UmfPack library. The sparse matrix A must be squared and full rank.
* The vectors or matrices X and B can be either dense or sparse.
*
- * \WARNING The input matrix A should be in a \b compressed and \b column-major form.
+ * \warning The input matrix A should be in a \b compressed and \b column-major form.
* Otherwise an expensive copy will be made. You can call the inexpensive makeCompressed() to get a compressed matrix.
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
*