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authorGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-11-24 09:16:30 -0500
committerGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-11-24 09:16:30 -0500
commitf84cbba52a8e5b7dcf040d9c23b41a76bd9d9ea2 (patch)
tree34eeb6d67ca0a470ea5e23bfd2ad3c01a6ef609e
parent07f2406dc196ce6b863aebad59018edd3bbae552 (diff)
minor fixes
-rw-r--r--doc/I13_FunctionsTakingEigenTypes.dox6
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/I13_FunctionsTakingEigenTypes.dox b/doc/I13_FunctionsTakingEigenTypes.dox
index 8f2542632..0fffd548d 100644
--- a/doc/I13_FunctionsTakingEigenTypes.dox
+++ b/doc/I13_FunctionsTakingEigenTypes.dox
@@ -58,7 +58,7 @@ Prints the inverse condition number of the given matrix or matrix-expression.
template <typename Derived>
void print_inv_cond(const MatrixBase<Derived>& a)
{
- const typename SVD<typename Derived::PlainObject>::SingularValuesType& sing_vals = a.svd().singularValues();
+ const typename JacobiSVD<typename Derived::PlainObject>::SingularValuesType& sing_vals = a.svd().singularValues();
std::cout << "inv cond: " << sing_vals(sing_vals.size()-1) / sing_vals(0) << std::endl;
}
\endcode
@@ -111,7 +111,7 @@ The solution which is preferred at the moment is based on a little \em hack. One
template <typename Derived, typename OtherDerived>
void cov(const MatrixBase<Derived>& x, const MatrixBase<Derived>& y, MatrixBase<OtherDerived> EIGEN_REF_TO_TEMPORARY C)
{
- typedef typename internal::traits<Derived>::Scalar Scalar;
+ typedef typename Derived::Scalar Scalar;
typedef typename internal::plain_row_type<Derived>::type RowVectorType;
const Scalar num_observations = static_cast<Scalar>(x.rows());
@@ -141,7 +141,7 @@ This is not the case anymore, when we are using an implementation taking MatrixB
template <typename Derived, typename OtherDerived>
void cov(const MatrixBase<Derived>& x, const MatrixBase<Derived>& y, MatrixBase<OtherDerived> EIGEN_REF_TO_TEMPORARY C_)
{
- typedef typename internal::traits<Derived>::Scalar Scalar;
+ typedef typename Derived::Scalar Scalar;
typedef typename internal::plain_row_type<Derived>::type RowVectorType;
const Scalar num_observations = static_cast<Scalar>(x.rows());