devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Enable custom scalar types in some unit tests.

Browse Source
This commit is contained in:
Gael Guennebaud
2016-07-20 15:19:17 +02:00
parent 87d480d785
commit 5e4dda8a12
4 changed files with 26 additions and 18 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
test/cholesky.cpp
View File

@@ -243,11 +243,13 @@ template<typename MatrixType> void cholesky(const MatrixType& m)
// check matrices with a wide spectrum
if(rows>=3)
{
using std::pow;
using std::sqrt;
RealScalar s = (std::min)(16,std::numeric_limits<RealScalar>::max_exponent10/8);
Matrix<Scalar,Dynamic,Dynamic> a = Matrix<Scalar,Dynamic,Dynamic>::Random(rows,rows);
Matrix<RealScalar,Dynamic,1> d = Matrix<RealScalar,Dynamic,1>::Random(rows);
for(Index k=0; k<rows; ++k)
d(k) = d(k)*std::pow(RealScalar(10),internal::random<RealScalar>(-s,s));
d(k) = d(k)*pow(RealScalar(10),internal::random<RealScalar>(-s,s));
SquareMatrixType A = a * d.asDiagonal() * a.adjoint();
// Make sure a solution exists:
vecX.setRandom();
@@ -263,7 +265,7 @@ template<typename MatrixType> void cholesky(const MatrixType& m)
}
else
{
RealScalar large_tol = std::sqrt(test_precision<RealScalar>());
RealScalar large_tol = sqrt(test_precision<RealScalar>());
VERIFY((A * vecX).isApprox(vecB, large_tol));
++g_test_level;