mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Fix numerous doxygen issues in auto-link generation
This commit is contained in:
@@ -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.
|
||||
*
|
||||
|
||||
Reference in New Issue
Block a user