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

* bug fixes in: Dot, generalized eigen problem, singular matrix detetection in Cholesky

Browse Source 
* fix all numerical instabilies in the unit tests, now all tests can be run 2000 times
  with almost zero failures.
This commit is contained in:
Gael Guennebaud
2008-08-23 15:14:20 +00:00
parent 312013a089
commit 2120fed849
20 changed files with 632 additions and 103 deletions
Download Patch File Download Diff File Expand all files Collapse all files

19
test/svd.cpp
View File

@@ -34,11 +34,16 @@ template<typename MatrixType> void svd(const MatrixType& m)
int cols = m.cols();
typedef typename MatrixType::Scalar Scalar;
MatrixType a = MatrixType::Random(rows,cols);
typedef typename NumTraits<Scalar>::Real RealScalar;
MatrixType a = test_random_matrix<MatrixType>(rows,cols);
Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> b =
Matrix<Scalar, MatrixType::RowsAtCompileTime, 1>::Random(rows,1);
test_random_matrix<Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> >(rows,1);
Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> x(cols,1), x2(cols,1);
RealScalar largerEps = test_precision<RealScalar>();
if (ei_is_same_type<RealScalar,float>::ret)
largerEps = 1e-3f;
SVD<MatrixType> svd(a);
MatrixType sigma = MatrixType::Zero(rows,cols);
MatrixType matU = MatrixType::Zero(rows,rows);
@@ -49,8 +54,14 @@ template<typename MatrixType> void svd(const MatrixType& m)
if (rows==cols)
{
if (ei_is_same_type<RealScalar,float>::ret)
{
MatrixType a1 = test_random_matrix<MatrixType>(rows,cols);
a += a * a.adjoint() + a1 * a1.adjoint();
}
SVD<MatrixType> svd(a);
svd.solve(b, &x);
VERIFY_IS_APPROX(a * x, b);
VERIFY_IS_APPROX(a * x,b);
}
}
@@ -60,7 +71,7 @@ void test_svd()
CALL_SUBTEST( svd(Matrix3f()) );
CALL_SUBTEST( svd(Matrix4d()) );
CALL_SUBTEST( svd(MatrixXf(7,7)) );
CALL_SUBTEST( svd(MatrixXf(14,7)) );
CALL_SUBTEST( svd(MatrixXd(14,7)) );
// complex are not implemented yet
// CALL_SUBTEST( svd(MatrixXcd(6,6)) );
// CALL_SUBTEST( svd(MatrixXcf(3,3)) );