GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-07-31 09:12:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added missing casts.

Browse Source
This commit is contained in:
Hauke Heibel 2009-09-08 08:27:18 +02:00
parent 437a79e1ab
commit e6cac85333
1 changed files with 11 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
test/stable_norm.cpp
View File

@ -36,8 +36,8 @@ template<typename MatrixType> void stable_norm(const MatrixType& m)
int rows = m.rows();
int cols = m.cols();
Scalar big = ei_random<Scalar>() * std::numeric_limits<RealScalar>::max() * 1e-4;
Scalar small = 1/big;
Scalar big = ei_random<Scalar>() * std::numeric_limits<RealScalar>::max() * RealScalar(1e-4);
Scalar small = static_cast<RealScalar>(1)/big;
MatrixType vzero = MatrixType::Zero(rows, cols),
vrand = MatrixType::Random(rows, cols),
@ -52,19 +52,19 @@ template<typename MatrixType> void stable_norm(const MatrixType& m)
VERIFY_IS_APPROX(vrand.blueNorm(), vrand.norm());
VERIFY_IS_APPROX(vrand.hypotNorm(), vrand.norm());
RealScalar size = m.size();
RealScalar size = static_cast<RealScalar>(m.size());
// test overflow
VERIFY_IS_NOT_APPROX(vbig.norm(), ei_sqrt(size)*big); // here the default norm must fail
VERIFY_IS_APPROX(vbig.stableNorm(), ei_sqrt(size)*big);
VERIFY_IS_APPROX(vbig.blueNorm(), ei_sqrt(size)*big);
VERIFY_IS_APPROX(vbig.hypotNorm(), ei_sqrt(size)*big);
VERIFY_IS_NOT_APPROX(static_cast<Scalar>(vbig.norm()), ei_sqrt(size)*big); // here the default norm must fail
VERIFY_IS_APPROX(static_cast<Scalar>(vbig.stableNorm()), ei_sqrt(size)*big);
VERIFY_IS_APPROX(static_cast<Scalar>(vbig.blueNorm()), ei_sqrt(size)*big);
VERIFY_IS_APPROX(static_cast<Scalar>(vbig.hypotNorm()), ei_sqrt(size)*big);
// test underflow
VERIFY_IS_NOT_APPROX(vsmall.norm(), ei_sqrt(size)*small); // here the default norm must fail
VERIFY_IS_APPROX(vsmall.stableNorm(), ei_sqrt(size)*small);
VERIFY_IS_APPROX(vsmall.blueNorm(), ei_sqrt(size)*small);
VERIFY_IS_APPROX(vsmall.hypotNorm(), ei_sqrt(size)*small);
VERIFY_IS_NOT_APPROX(static_cast<Scalar>(vsmall.norm()), ei_sqrt(size)*small); // here the default norm must fail
VERIFY_IS_APPROX(static_cast<Scalar>(vsmall.stableNorm()), ei_sqrt(size)*small);
VERIFY_IS_APPROX(static_cast<Scalar>(vsmall.blueNorm()), ei_sqrt(size)*small);
VERIFY_IS_APPROX(static_cast<Scalar>(vsmall.hypotNorm()), ei_sqrt(size)*small);
}
void test_stable_norm()
@ -77,4 +77,3 @@ void test_stable_norm()
CALL_SUBTEST( stable_norm(VectorXcd(ei_random<int>(10,2000))) );
}
}