diff options
| author |  David Tellenbach <david.tellenbach@me.com> | 2020-10-09 02:05:05 +0200 |
|---|---|---|
| committer | David Tellenbach <david.tellenbach@me.com> | 2020-10-09 02:05:05 +0200 |
| commit | 4091f6b25c5ad0ca3f7c00bd82bfd7ca1bbedee3 (patch) | |
| tree | c464c196d1f0f125532d2a162c99b80c00fb7255 /Eigen/src/Eigenvalues | |
| parent | 183a208212353ccf81a664d25dc7660b6269acdd (diff) | |
Drop EIGEN_USING_STD_MATH in favour of EIGEN_USING_STD
Diffstat (limited to 'Eigen/src/Eigenvalues')
| -rw-r--r-- | Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h index 9bbce652f..73b7041e6 100644 --- a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h +++ b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h @@ -410,7 +410,7 @@ SelfAdjointEigenSolver<MatrixType>& SelfAdjointEigenSolver<MatrixType> const InputType &matrix(a_matrix.derived()); - EIGEN_USING_STD_MATH(abs); + EIGEN_USING_STD(abs); eigen_assert(matrix.cols() == matrix.rows()); eigen_assert((options&~(EigVecMask|GenEigMask))==0 && (options&EigVecMask)!=EigVecMask @@ -489,7 +489,7 @@ template<typename MatrixType, typename DiagType, typename SubDiagType> EIGEN_DEVICE_FUNC ComputationInfo computeFromTridiagonal_impl(DiagType& diag, SubDiagType& subdiag, const Index maxIterations, bool computeEigenvectors, MatrixType& eivec) { - EIGEN_USING_STD_MATH(abs); + EIGEN_USING_STD(abs); ComputationInfo info; typedef typename MatrixType::Scalar Scalar; @@ -574,10 +574,10 @@ template<typename SolverType> struct direct_selfadjoint_eigenvalues<SolverType,3 EIGEN_DEVICE_FUNC static inline void computeRoots(const MatrixType& m, VectorType& roots) { - EIGEN_USING_STD_MATH(sqrt) - EIGEN_USING_STD_MATH(atan2) - EIGEN_USING_STD_MATH(cos) - EIGEN_USING_STD_MATH(sin) + EIGEN_USING_STD(sqrt) + EIGEN_USING_STD(atan2) + EIGEN_USING_STD(cos) + EIGEN_USING_STD(sin) const Scalar s_inv3 = Scalar(1)/Scalar(3); const Scalar s_sqrt3 = sqrt(Scalar(3)); @@ -613,8 +613,8 @@ template<typename SolverType> struct direct_selfadjoint_eigenvalues<SolverType,3 EIGEN_DEVICE_FUNC static inline bool extract_kernel(MatrixType& mat, Ref<VectorType> res, Ref<VectorType> representative) { - EIGEN_USING_STD_MATH(abs); - EIGEN_USING_STD_MATH(sqrt); + EIGEN_USING_STD(abs); + EIGEN_USING_STD(sqrt); Index i0; // Find non-zero column i0 (by construction, there must exist a non zero coefficient on the diagonal): mat.diagonal().cwiseAbs().maxCoeff(&i0); @@ -728,7 +728,7 @@ struct direct_selfadjoint_eigenvalues<SolverType,2,false> EIGEN_DEVICE_FUNC static inline void computeRoots(const MatrixType& m, VectorType& roots) { - EIGEN_USING_STD_MATH(sqrt); + EIGEN_USING_STD(sqrt); const Scalar t0 = Scalar(0.5) * sqrt( numext::abs2(m(0,0)-m(1,1)) + Scalar(4)*numext::abs2(m(1,0))); const Scalar t1 = Scalar(0.5) * (m(0,0) + m(1,1)); roots(0) = t1 - t0; @@ -738,8 +738,8 @@ struct direct_selfadjoint_eigenvalues<SolverType,2,false> EIGEN_DEVICE_FUNC static inline void run(SolverType& solver, const MatrixType& mat, int options) { - EIGEN_USING_STD_MATH(sqrt); - EIGEN_USING_STD_MATH(abs); + EIGEN_USING_STD(sqrt); + EIGEN_USING_STD(abs); eigen_assert(mat.cols() == 2 && mat.cols() == mat.rows()); eigen_assert((options&~(EigVecMask|GenEigMask))==0 @@ -816,7 +816,7 @@ template<int StorageOrder,typename RealScalar, typename Scalar, typename Index> EIGEN_DEVICE_FUNC static void tridiagonal_qr_step(RealScalar* diag, RealScalar* subdiag, Index start, Index end, Scalar* matrixQ, Index n) { - EIGEN_USING_STD_MATH(abs); + EIGEN_USING_STD(abs); RealScalar td = (diag[end-1] - diag[end])*RealScalar(0.5); RealScalar e = subdiag[end-1]; // Note that thanks to scaling, e^2 or td^2 cannot overflow, however they can still |