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| author |  Gael Guennebaud <g.gael@free.fr> | 2014-09-18 15:15:27 +0200 |
|---|---|---|
| committer | Gael Guennebaud <g.gael@free.fr> | 2014-09-18 15:15:27 +0200 |
| commit | 0ca43f7e9a654e32da0066163a8656415961e266 (patch) | |
| tree | ed0da1fda3880f825eb8e9715546568deeee667f /Eigen/src/SVD | |
| parent | 8b3be4907da2cbf47ec15734b7f364e6e66bf4c3 (diff) | |
Remove deprecated code not used by evaluators
Diffstat (limited to 'Eigen/src/SVD')
| -rw-r--r-- | Eigen/src/SVD/SVDBase.h | 28 |
1 files changed, 0 insertions, 28 deletions
diff --git a/Eigen/src/SVD/SVDBase.h b/Eigen/src/SVD/SVDBase.h index 60a5aabb6..27b732b80 100644 --- a/Eigen/src/SVD/SVDBase.h +++ b/Eigen/src/SVD/SVDBase.h @@ -200,7 +200,6 @@ public: * \note SVD solving is implicitly least-squares. Thus, this method serves both purposes of exact solving and least-squares solving. * In other words, the returned solution is guaranteed to minimize the Euclidean norm \f$ \Vert A x - b \Vert \f$. */ -#ifdef EIGEN_TEST_EVALUATORS template<typename Rhs> inline const Solve<Derived, Rhs> solve(const MatrixBase<Rhs>& b) const @@ -209,16 +208,6 @@ public: eigen_assert(computeU() && computeV() && "SVD::solve() requires both unitaries U and V to be computed (thin unitaries suffice)."); return Solve<Derived, Rhs>(derived(), b.derived()); } -#else - template<typename Rhs> - inline const internal::solve_retval<SVDBase, Rhs> - solve(const MatrixBase<Rhs>& b) const - { - eigen_assert(m_isInitialized && "SVD is not initialized."); - eigen_assert(computeU() && computeV() && "SVD::solve() requires both unitaries U and V to be computed (thin unitaries suffice)."); - return internal::solve_retval<SVDBase, Rhs>(*this, b.derived()); - } -#endif #ifndef EIGEN_PARSED_BY_DOXYGEN template<typename RhsType, typename DstType> @@ -273,23 +262,6 @@ void SVDBase<Derived>::_solve_impl(const RhsType &rhs, DstType &dst) const } #endif -namespace internal { -#ifndef EIGEN_TEST_EVALUATORS -template<typename Derived, typename Rhs> -struct solve_retval<SVDBase<Derived>, Rhs> - : solve_retval_base<SVDBase<Derived>, Rhs> -{ - typedef SVDBase<Derived> SVDType; - EIGEN_MAKE_SOLVE_HELPERS(SVDType,Rhs) - - template<typename Dest> void evalTo(Dest& dst) const - { - dec().derived()._solve_impl(rhs(), dst); - } -}; -#endif -} // end namespace internal - template<typename MatrixType> bool SVDBase<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions) { |