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Diffstat (limited to 'doc/QuickStartGuide.dox')
| -rw-r--r-- | doc/QuickStartGuide.dox | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/QuickStartGuide.dox b/doc/QuickStartGuide.dox index 1d2f623b3..c46698dbf 100644 --- a/doc/QuickStartGuide.dox +++ b/doc/QuickStartGuide.dox @@ -352,7 +352,7 @@ vec3 = vec1.cross(vec2);\endcode</td></tr> Eigen provides several reduction methods such as: \link MatrixBase::minCoeff() minCoeff() \endlink, \link MatrixBase::maxCoeff() maxCoeff() \endlink, \link MatrixBase::sum() sum() \endlink, \link MatrixBase::trace() trace() \endlink, -\link MatrixBase::norm() norm() \endlink, \link MatrixBase::norm2() norm2() \endlink, +\link MatrixBase::norm() norm() \endlink, \link MatrixBase::squaredNorm() squaredNorm() \endlink, \link MatrixBase::all() all() \endlink,and \link MatrixBase::any() any() \endlink. All reduction operations can be done matrix-wise, \link MatrixBase::colwise() column-wise \endlink or @@ -473,8 +473,8 @@ mat3 = mat1.adjoint() * mat2; </td></tr> <tr><td> \link MatrixBase::norm() norm \endlink of a vector \n -\link MatrixBase::norm2() squared norm \endlink of a vector -</td><td>\code vec.norm(); \endcode \n \code vec.norm2() \endcode +\link MatrixBase::squaredNorm() squared norm \endlink of a vector +</td><td>\code vec.norm(); \endcode \n \code vec.squaredNorm() \endcode </td></tr> <tr><td> returns a \link MatrixBase::normalized() normalized \endlink vector \n |