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authorGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-01-11 08:48:39 -0500
committerGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-01-11 08:48:39 -0500
commit24a09ceae86590925102493fffcf3973ff2c8358 (patch)
treee3455ddcd97d84bd9115f22d33fdcecd85a07092 /test/householder.cpp
parent325da2ea3c00436a042468b77cf97ac6b61baf7d (diff)
* Fix a bug in HouseholderQR with mixed fixed/dynamic size: must use EIGEN_SIZE_MIN instead of EIGEN_ENUM_MIN, and there are many other occurences throughout Eigen!
* HouseholderSequence: - add shift parameter - add essentialVector() method to start abstracting the direction - add unit test in householder.cpp
Diffstat (limited to 'test/householder.cpp')
-rw-r--r--test/householder.cpp50
1 files changed, 45 insertions, 5 deletions
diff --git a/test/householder.cpp b/test/householder.cpp
index 4e4c78863..c4c95e648 100644
--- a/test/householder.cpp
+++ b/test/householder.cpp
@@ -1,7 +1,7 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
-// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
@@ -23,7 +23,7 @@
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#include "main.h"
-#include <Eigen/Householder>
+#include <Eigen/QR>
template<typename MatrixType> void householder(const MatrixType& m)
{
@@ -40,7 +40,13 @@ template<typename MatrixType> void householder(const MatrixType& m)
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
typedef Matrix<Scalar, ei_decrement_size<MatrixType::RowsAtCompileTime>::ret, 1> EssentialVectorType;
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
+ typedef Matrix<Scalar, Dynamic, MatrixType::ColsAtCompileTime> HBlockMatrixType;
+ typedef Matrix<Scalar, Dynamic, 1> HCoeffsVectorType;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime> RightSquareMatrixType;
+ typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, Dynamic> VBlockMatrixType;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::RowsAtCompileTime> TMatrixType;
+
Matrix<Scalar, EIGEN_ENUM_MAX(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime), 1> _tmp(std::max(rows,cols));
Scalar* tmp = &_tmp.coeffRef(0,0);
@@ -85,8 +91,42 @@ template<typename MatrixType> void householder(const MatrixType& m)
VERIFY_IS_MUCH_SMALLER_THAN(ei_imag(m3(0,0)), ei_real(m3(0,0)));
VERIFY_IS_APPROX(ei_real(m3(0,0)), alpha);
- // test householder sequence
- // TODO test HouseholderSequence
+ // test householder sequence on the left with a shift
+
+ int shift = ei_random(0, std::max(rows-2,0));
+ int brows = rows - shift;
+ m1.setRandom(rows, cols);
+ HBlockMatrixType hbm = m1.block(shift,0,brows,cols);
+ HouseholderQR<HBlockMatrixType> qr(hbm);
+ m2 = m1;
+ m2.block(shift,0,brows,cols) = qr.matrixQR();
+ HCoeffsVectorType hc = qr.hCoeffs().conjugate();
+ HouseholderSequence<MatrixType, HCoeffsVectorType> hseq(m2, hc, false, hc.size(), shift);
+ MatrixType m5 = m2;
+ m5.block(shift,0,brows,cols).template triangularView<StrictlyLower>().setZero();
+ VERIFY_IS_APPROX(hseq * m5, m1); // test applying hseq directly
+ m3 = hseq;
+ VERIFY_IS_APPROX(m3*m5, m1); // test evaluating hseq to a dense matrix, then applying
+
+#if 0
+ // test householder sequence on the right with a shift
+
+ TMatrixType tm1 = m1.transpose();
+ TMatrixType tm2 = m2.transpose();
+
+ int bcols = cols - shift;
+ VBlockMatrixType vbm =
+ HouseholderQR<HBlockMatrixType> qr(hbm);
+ m2 = m1;
+ m2.block(shift,0,brows,cols) = qr.matrixQR();
+ HCoeffsVectorType hc = qr.hCoeffs().conjugate();
+ HouseholderSequence<MatrixType, HCoeffsVectorType> hseq(m2, hc, false, hc.size(), shift);
+ MatrixType m5 = m2;
+ m5.block(shift,0,brows,cols).template triangularView<StrictlyLower>().setZero();
+ VERIFY_IS_APPROX(hseq * m5, m1); // test applying hseq directly
+ m3 = hseq;
+ VERIFY_IS_APPROX(m3*m5, m1); // test evaluating hseq to a dense matrix, then applying
+#endif
}
void test_householder()
@@ -98,6 +138,6 @@ void test_householder()
CALL_SUBTEST_4( householder(Matrix<float,4,4>()) );
CALL_SUBTEST_5( householder(MatrixXd(10,12)) );
CALL_SUBTEST_6( householder(MatrixXcf(16,17)) );
+ CALL_SUBTEST_7( householder(MatrixXf(25,7)) );
}
-
}