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-rw-r--r--Eigen/src/SVD/SVDBase.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/Eigen/src/SVD/SVDBase.h b/Eigen/src/SVD/SVDBase.h
index ad191085e..e2d77a761 100644
--- a/Eigen/src/SVD/SVDBase.h
+++ b/Eigen/src/SVD/SVDBase.h
@@ -42,7 +42,7 @@ namespace Eigen {
*
* If the input matrix has inf or nan coefficients, the result of the computation is undefined, but the computation is guaranteed to
* terminate in finite (and reasonable) time.
- * \sa MatrixBase::genericSvd()
+ * \sa class BDCSVD, class JacobiSVD
*/
template<typename Derived>
class SVDBase
@@ -74,7 +74,7 @@ public:
/** \returns the \a U matrix.
*
* For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
- * the U matrix is n-by-n if you asked for #ComputeFullU, and is n-by-m if you asked for #ComputeThinU.
+ * the U matrix is n-by-n if you asked for \link Eigen::ComputeFullU ComputeFullU \endlink, and is n-by-m if you asked for \link Eigen::ComputeThinU ComputeThinU \endlink.
*
* The \a m first columns of \a U are the left singular vectors of the matrix being decomposed.
*
@@ -90,7 +90,7 @@ public:
/** \returns the \a V matrix.
*
* For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
- * the V matrix is p-by-p if you asked for #ComputeFullV, and is p-by-m if you asked for ComputeThinV.
+ * the V matrix is p-by-p if you asked for \link Eigen::ComputeFullV ComputeFullV \endlink, and is p-by-m if you asked for \link Eigen::ComputeThinV ComputeThinV \endlink.
*
* The \a m first columns of \a V are the right singular vectors of the matrix being decomposed.
*