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authorGravatar Gael Guennebaud <g.gael@free.fr>2009-01-28 09:45:53 +0000
committerGravatar Gael Guennebaud <g.gael@free.fr>2009-01-28 09:45:53 +0000
commit0f15a8d82943a7dd5311ef52c7139e947b17e232 (patch)
tree5979d65099adf6cce5d9899224e67dc660940da4 /test/qr.cpp
parentcf89d9371ac848b42ef0e960f278995e3b3a5213 (diff)
QR: add isInjective(), isSurjective(),
mark isFullRank() deprecated, add solve() (mix of Keir's patch and LU::solve()) => there is big problem with complex which are not working
Diffstat (limited to 'test/qr.cpp')
-rw-r--r--test/qr.cpp116
1 files changed, 105 insertions, 11 deletions
diff --git a/test/qr.cpp b/test/qr.cpp
index 9ce808429..2b9579c9c 100644
--- a/test/qr.cpp
+++ b/test/qr.cpp
@@ -27,9 +27,7 @@
template<typename MatrixType> void qr(const MatrixType& m)
{
- /* this test covers the following files:
- QR.h
- */
+ /* this test covers the following files: QR.h */
int rows = m.rows();
int cols = m.cols();
@@ -57,6 +55,98 @@ template<typename MatrixType> void qr(const MatrixType& m)
VERIFY_IS_APPROX(b, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
}
+template<typename Derived>
+void doSomeRankPreservingOperations(Eigen::MatrixBase<Derived>& m)
+{
+ typedef typename Derived::RealScalar RealScalar;
+ for(int a = 0; a < 3*(m.rows()+m.cols()); a++)
+ {
+ RealScalar d = Eigen::ei_random<RealScalar>(-1,1);
+ int i = Eigen::ei_random<int>(0,m.rows()-1); // i is a random row number
+ int j;
+ do {
+ j = Eigen::ei_random<int>(0,m.rows()-1);
+ } while (i==j); // j is another one (must be different)
+ m.row(i) += d * m.row(j);
+
+ i = Eigen::ei_random<int>(0,m.cols()-1); // i is a random column number
+ do {
+ j = Eigen::ei_random<int>(0,m.cols()-1);
+ } while (i==j); // j is another one (must be different)
+ m.col(i) += d * m.col(j);
+ }
+}
+
+template<typename MatrixType> void qr_non_invertible()
+{
+ /* this test covers the following files: QR.h */
+ // NOTE there seems to be a problem with too small sizes -- could easily lie in the doSomeRankPreservingOperations function
+ int rows = ei_random<int>(20,200), cols = ei_random<int>(20,rows), cols2 = ei_random<int>(20,rows);
+ int rank = ei_random<int>(1, std::min(rows, cols)-1);
+
+ MatrixType m1(rows, cols), m2(cols, cols2), m3(rows, cols2), k(1,1);
+ m1 = MatrixType::Random(rows,cols);
+ if(rows <= cols)
+ for(int i = rank; i < rows; i++) m1.row(i).setZero();
+ else
+ for(int i = rank; i < cols; i++) m1.col(i).setZero();
+ doSomeRankPreservingOperations(m1);
+
+ QR<MatrixType> lu(m1);
+// typename LU<MatrixType>::KernelResultType m1kernel = lu.kernel();
+// typename LU<MatrixType>::ImageResultType m1image = lu.image();
+
+ VERIFY(rank == lu.rank());
+ VERIFY(cols - lu.rank() == lu.dimensionOfKernel());
+ VERIFY(!lu.isInjective());
+ VERIFY(!lu.isInvertible());
+ VERIFY(lu.isSurjective() == (lu.rank() == rows));
+// VERIFY((m1 * m1kernel).isMuchSmallerThan(m1));
+// VERIFY(m1image.lu().rank() == rank);
+// MatrixType sidebyside(m1.rows(), m1.cols() + m1image.cols());
+// sidebyside << m1, m1image;
+// VERIFY(sidebyside.lu().rank() == rank);
+ m2 = MatrixType::Random(cols,cols2);
+ m3 = m1*m2;
+ m2 = MatrixType::Random(cols,cols2);
+ lu.solve(m3, &m2);
+ VERIFY_IS_APPROX(m3, m1*m2);
+ m3 = MatrixType::Random(rows,cols2);
+ VERIFY(!lu.solve(m3, &m2));
+}
+
+template<typename MatrixType> void qr_invertible()
+{
+ /* this test covers the following files: QR.h */
+ typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+ int size = ei_random<int>(10,200);
+
+ MatrixType m1(size, size), m2(size, size), m3(size, size);
+ m1 = MatrixType::Random(size,size);
+
+ if (ei_is_same_type<RealScalar,float>::ret)
+ {
+ // let's build a matrix more stable to inverse
+ MatrixType a = MatrixType::Random(size,size*2);
+ m1 += a * a.adjoint();
+ }
+
+ QR<MatrixType> lu(m1);
+ VERIFY(0 == lu.dimensionOfKernel());
+ VERIFY(size == lu.rank());
+ VERIFY(lu.isInjective());
+ VERIFY(lu.isSurjective());
+ VERIFY(lu.isInvertible());
+// VERIFY(lu.image().lu().isInvertible());
+ m3 = MatrixType::Random(size,size);
+ lu.solve(m3, &m2);
+ //std::cerr << m3 - m1*m2 << "\n\n";
+ VERIFY_IS_APPROX(m3, m1*m2);
+// VERIFY_IS_APPROX(m2, lu.inverse()*m3);
+ m3 = MatrixType::Random(size,size);
+ VERIFY(lu.solve(m3, &m2));
+}
+
void test_qr()
{
for(int i = 0; i < 1; i++) {
@@ -66,13 +156,17 @@ void test_qr()
CALL_SUBTEST( qr(MatrixXcd(5,5)) );
CALL_SUBTEST( qr(MatrixXcd(7,3)) );
}
-
- // small isFullRank test
- {
- Matrix3d mat;
- mat << 1, 45, 1, 2, 2, 2, 1, 2, 3;
- VERIFY(mat.qr().isFullRank());
- mat << 1, 1, 1, 2, 2, 2, 1, 2, 3;
- VERIFY(!mat.qr().isFullRank());
+
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST( qr_non_invertible<MatrixXf>() );
+ CALL_SUBTEST( qr_non_invertible<MatrixXd>() );
+ // TODO fix issue with complex
+// CALL_SUBTEST( qr_non_invertible<MatrixXcf>() );
+// CALL_SUBTEST( qr_non_invertible<MatrixXcd>() );
+ CALL_SUBTEST( qr_invertible<MatrixXf>() );
+ CALL_SUBTEST( qr_invertible<MatrixXd>() );
+ // TODO fix issue with complex
+// CALL_SUBTEST( qr_invertible<MatrixXcf>() );
+// CALL_SUBTEST( qr_invertible<MatrixXcd>() );
}
}