diff options
| author |  Gael Guennebaud <g.gael@free.fr> | 2010-02-10 10:52:28 +0100 |
|---|---|---|
| committer | Gael Guennebaud <g.gael@free.fr> | 2010-02-10 10:52:28 +0100 |
| commit | fe0827495ab34749b8896bbebc0ff9fcc661c13b (patch) | |
| tree | 93f7fc6799ef83c77188f64ed9176b61e3a04b33 /test | |
| parent | c11df02f0d8fdc546a9de27038d8a9d175936a54 (diff) | |
* move dummy_precision and epsilon to NumTraits
* make NumTraits inherits std::numeric_limits
Diffstat (limited to 'test')
| -rw-r--r-- | test/prec_inverse_4x4.cpp | 6 | ||||
| -rw-r--r-- | test/product.h | 2 |
2 files changed, 4 insertions, 4 deletions
diff --git a/test/prec_inverse_4x4.cpp b/test/prec_inverse_4x4.cpp index e1b05aa0d..59ccbbcaf 100644 --- a/test/prec_inverse_4x4.cpp +++ b/test/prec_inverse_4x4.cpp @@ -35,7 +35,7 @@ template<typename MatrixType> void inverse_permutation_4x4() { MatrixType m = PermutationMatrix<4>(indices); MatrixType inv = m.inverse(); - double error = double( (m*inv-MatrixType::Identity()).norm() / epsilon<Scalar>() ); + double error = double( (m*inv-MatrixType::Identity()).norm() / NumTraits<Scalar>::epsilon() ); VERIFY(error == 0.0); std::next_permutation(indices.data(),indices.data()+4); } @@ -53,9 +53,9 @@ template<typename MatrixType> void inverse_general_4x4(int repeat) do { m = MatrixType::Random(); absdet = ei_abs(m.determinant()); - } while(absdet < epsilon<Scalar>()); + } while(absdet < NumTraits<Scalar>::epsilon()); MatrixType inv = m.inverse(); - double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / epsilon<Scalar>() ); + double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / NumTraits<Scalar>::epsilon() ); error_sum += error; error_max = std::max(error_max, error); } diff --git a/test/product.h b/test/product.h index 85afbe1e4..f6109fae4 100644 --- a/test/product.h +++ b/test/product.h @@ -26,7 +26,7 @@ #include <Eigen/QR> template<typename Derived1, typename Derived2> -bool areNotApprox(const MatrixBase<Derived1>& m1, const MatrixBase<Derived2>& m2, typename Derived1::RealScalar epsilon = dummy_precision<typename Derived1::RealScalar>()) +bool areNotApprox(const MatrixBase<Derived1>& m1, const MatrixBase<Derived2>& m2, typename Derived1::RealScalar epsilon = NumTraits<typename Derived1::RealScalar>::dummy_precision()) { return !((m1-m2).cwiseAbs2().maxCoeff() < epsilon * epsilon * std::max(m1.cwiseAbs2().maxCoeff(), m2.cwiseAbs2().maxCoeff())); |