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

fix stuff after the PermutationMatrix changes.

Browse Source 
I still have JacobiSVD errors when cols>rows
This commit is contained in:
Benoit Jacob
2009-11-18 12:41:24 -05:00
parent 94c706d04f
commit 8860203e6a
4 changed files with 13 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
test/jacobisvd.cpp
View File

@@ -54,6 +54,9 @@ template<typename MatrixType, unsigned int Options> void svd(const MatrixType& m
MatrixUType u = svd.matrixU();
MatrixVType v = svd.matrixV();
std::cout << "a\n" << a << std::endl;
std::cout << "b\n" << u * sigma * v.adjoint() << std::endl;
VERIFY_IS_APPROX(a, u * sigma * v.adjoint());
VERIFY_IS_UNITARY(u);
VERIFY_IS_UNITARY(v);

9
test/qr_colpivoting.cpp
View File

@@ -28,7 +28,8 @@
template<typename MatrixType> void qr()
{
int rows = ei_random<int>(20,200), cols = ei_random<int>(20,200), cols2 = ei_random<int>(20,200);
// int rows = ei_random<int>(20,200), cols = ei_random<int>(20,200), cols2 = ei_random<int>(20,200);
int rows=3, cols=3, cols2=3;
int rank = ei_random<int>(1, std::min(rows, cols)-1);
typedef typename MatrixType::Scalar Scalar;
@@ -55,7 +56,9 @@ template<typename MatrixType> void qr()
MatrixType c = MatrixType::Zero(rows,cols);
for(int i = 0; i < cols; ++i) c.col(qr.colsPermutation().coeff(i)) = b.col(i);
for(int i = 0; i < cols; ++i) c.col(qr.colsPermutation().indices().coeff(i)) = b.col(i);
std::cout << "m1:\n" << m1 << std::endl;
std::cout << "c:\n" << c << std::endl;
VERIFY_IS_APPROX(m1, c);
MatrixType m2 = MatrixType::Random(cols,cols2);
@@ -87,7 +90,7 @@ template<typename MatrixType, int Cols2> void qr_fixedsize()
Matrix<Scalar,Rows,Cols> c = MatrixType::Zero(Rows,Cols);
for(int i = 0; i < Cols; ++i) c.col(qr.colsPermutation().coeff(i)) = b.col(i);
for(int i = 0; i < Cols; ++i) c.col(qr.colsPermutation().indices().coeff(i)) = b.col(i);
VERIFY_IS_APPROX(m1, c);
Matrix<Scalar,Cols,Cols2> m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2);