diff options
author | 2016-04-11 17:20:17 -0700 | |
---|---|---|
committer | 2016-04-11 17:20:17 -0700 | |
commit | d6e596174d09446236b3f398d8ec39148c638ed9 (patch) | |
tree | ccb4116b05dc11d7931bac0129fd1394abe1e0b0 /Eigen/src/SVD/SVDBase.h | |
parent | 3ca1ae2bb761d7738bcdad885639f422a6b7c914 (diff) | |
parent | 833efb39bfe4957934982112fe435ab30a0c3b4f (diff) |
Pull latest updates from upstream
Diffstat (limited to 'Eigen/src/SVD/SVDBase.h')
-rw-r--r-- | Eigen/src/SVD/SVDBase.h | 6 |
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. * |