Enable CompleteOrthogonalDecomposition::pseudoInverse with non-square fixed-size matrices.

This commit is contained in:
Gael Guennebaud
2019-11-13 21:16:53 +01:00
parent 002e5b6db6
commit 8496f86f84
4 changed files with 22 additions and 7 deletions

View File

@@ -70,10 +70,11 @@ void cod_fixedsize() {
Cols = MatrixType::ColsAtCompileTime
};
typedef typename MatrixType::Scalar Scalar;
typedef CompleteOrthogonalDecomposition<Matrix<Scalar, Rows, Cols> > COD;
int rank = internal::random<int>(1, (std::min)(int(Rows), int(Cols)) - 1);
Matrix<Scalar, Rows, Cols> matrix;
createRandomPIMatrixOfRank(rank, Rows, Cols, matrix);
CompleteOrthogonalDecomposition<Matrix<Scalar, Rows, Cols> > cod(matrix);
COD cod(matrix);
VERIFY(rank == cod.rank());
VERIFY(Cols - cod.rank() == cod.dimensionOfKernel());
VERIFY(cod.isInjective() == (rank == Rows));
@@ -90,6 +91,9 @@ void cod_fixedsize() {
JacobiSVD<MatrixType> svd(matrix, ComputeFullU | ComputeFullV);
Matrix<Scalar, Cols, Cols2> svd_solution = svd.solve(rhs);
VERIFY_IS_APPROX(cod_solution, svd_solution);
typename Inverse<COD>::PlainObject pinv = cod.pseudoInverse();
VERIFY_IS_APPROX(cod_solution, pinv * rhs);
}
template<typename MatrixType> void qr()