diff options
Diffstat (limited to 'Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h')
| -rw-r--r-- | Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h index fbc1ee2f6..2d1a82c57 100644 --- a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h +++ b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h @@ -610,6 +610,7 @@ template<typename SolverType> struct direct_selfadjoint_eigenvalues<SolverType,3 static inline bool extract_kernel(MatrixType& mat, Ref<VectorType> res, Ref<VectorType> representative) { EIGEN_USING_STD_MATH(abs); + EIGEN_USING_STD_MATH(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); @@ -620,8 +621,8 @@ template<typename SolverType> struct direct_selfadjoint_eigenvalues<SolverType,3 VectorType c0, c1; n0 = (c0 = representative.cross(mat.col((i0+1)%3))).squaredNorm(); n1 = (c1 = representative.cross(mat.col((i0+2)%3))).squaredNorm(); - if(n0>n1) res = c0/std::sqrt(n0); - else res = c1/std::sqrt(n1); + if(n0>n1) res = c0/sqrt(n0); + else res = c1/sqrt(n1); return true; } @@ -723,7 +724,7 @@ struct direct_selfadjoint_eigenvalues<SolverType,2,false> EIGEN_DEVICE_FUNC static inline void computeRoots(const MatrixType& m, VectorType& roots) { - using std::sqrt; + EIGEN_USING_STD_MATH(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; |