* HouseholderSequence:

* be aware of number of actual householder vectors
    (optimization in non-full-rank case, no behavior change)
  * fix applyThisOnTheRight, it was using k instead of actual_k
* QR: rename matrixQ() to householderQ() where applicable
This commit is contained in:
Benoit Jacob
2009-12-02 11:11:09 -05:00
parent 3279e39340
commit 3e73f6036c
7 changed files with 43 additions and 39 deletions

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@@ -64,7 +64,7 @@ template<typename HyperplaneType> void hyperplane(const HyperplaneType& _plane)
// transform
if (!NumTraits<Scalar>::IsComplex)
{
MatrixType rot = MatrixType::Random(dim,dim).householderQr().matrixQ();
MatrixType rot = MatrixType::Random(dim,dim).householderQr().householderQ();
DiagonalMatrix<Scalar,HyperplaneType::AmbientDimAtCompileTime> scaling(VectorType::Random());
Translation<Scalar,HyperplaneType::AmbientDimAtCompileTime> translation(VectorType::Random());

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@@ -360,7 +360,7 @@ void createRandomMatrixOfRank(int desired_rank, int rows, int cols, MatrixType&
HouseholderQR<MatrixAType> qra(a);
HouseholderQR<MatrixBType> qrb(b);
m = qra.matrixQ() * d * qrb.matrixQ();
m = qra.householderQ() * d * qrb.householderQ();
}
} // end namespace Eigen

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@@ -38,13 +38,13 @@ template<typename MatrixType> void qr(const MatrixType& m)
HouseholderQR<MatrixType> qrOfA(a);
MatrixType r = qrOfA.matrixQR();
MatrixQType q = qrOfA.matrixQ();
MatrixQType q = qrOfA.householderQ();
VERIFY_IS_UNITARY(q);
// FIXME need better way to construct trapezoid
for(int i = 0; i < rows; i++) for(int j = 0; j < cols; j++) if(i>j) r(i,j) = Scalar(0);
VERIFY_IS_APPROX(a, qrOfA.matrixQ() * r);
VERIFY_IS_APPROX(a, qrOfA.householderQ() * r);
}
template<typename MatrixType, int Cols2> void qr_fixedsize()
@@ -58,7 +58,7 @@ template<typename MatrixType, int Cols2> void qr_fixedsize()
// FIXME need better way to construct trapezoid
for(int i = 0; i < Rows; i++) for(int j = 0; j < Cols; j++) if(i>j) r(i,j) = Scalar(0);
VERIFY_IS_APPROX(m1, qr.matrixQ() * r);
VERIFY_IS_APPROX(m1, qr.householderQ() * r);
Matrix<Scalar,Cols,Cols2> m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2);
Matrix<Scalar,Rows,Cols2> m3 = m1*m2;
@@ -93,7 +93,7 @@ template<typename MatrixType> void qr_invertible()
m1.setZero();
for(int i = 0; i < size; i++) m1(i,i) = ei_random<Scalar>();
RealScalar absdet = ei_abs(m1.diagonal().prod());
m3 = qr.matrixQ(); // get a unitary
m3 = qr.householderQ(); // get a unitary
m1 = m3 * m1 * m3;
qr.compute(m1);
VERIFY_IS_APPROX(absdet, qr.absDeterminant());
@@ -107,7 +107,7 @@ template<typename MatrixType> void qr_verify_assert()
HouseholderQR<MatrixType> qr;
VERIFY_RAISES_ASSERT(qr.matrixQR())
VERIFY_RAISES_ASSERT(qr.solve(tmp))
VERIFY_RAISES_ASSERT(qr.matrixQ())
VERIFY_RAISES_ASSERT(qr.householderQ())
VERIFY_RAISES_ASSERT(qr.absDeterminant())
VERIFY_RAISES_ASSERT(qr.logAbsDeterminant())
}

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@@ -44,7 +44,7 @@ template<typename MatrixType> void qr()
VERIFY(!qr.isInvertible());
VERIFY(!qr.isSurjective());
MatrixQType q = qr.matrixQ();
MatrixQType q = qr.householderQ();
VERIFY_IS_UNITARY(q);
MatrixType r = qr.matrixQR().template triangularView<UpperTriangular>();
@@ -73,7 +73,7 @@ template<typename MatrixType, int Cols2> void qr_fixedsize()
VERIFY(!qr.isSurjective());
Matrix<Scalar,Rows,Cols> r = qr.matrixQR().template triangularView<UpperTriangular>();
Matrix<Scalar,Rows,Cols> c = qr.matrixQ() * r * qr.colsPermutation().inverse();
Matrix<Scalar,Rows,Cols> c = qr.householderQ() * r * qr.colsPermutation().inverse();
VERIFY_IS_APPROX(m1, c);
Matrix<Scalar,Cols,Cols2> m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2);
@@ -109,7 +109,7 @@ template<typename MatrixType> void qr_invertible()
m1.setZero();
for(int i = 0; i < size; i++) m1(i,i) = ei_random<Scalar>();
RealScalar absdet = ei_abs(m1.diagonal().prod());
m3 = qr.matrixQ(); // get a unitary
m3 = qr.householderQ(); // get a unitary
m1 = m3 * m1 * m3;
qr.compute(m1);
VERIFY_IS_APPROX(absdet, qr.absDeterminant());
@@ -123,7 +123,7 @@ template<typename MatrixType> void qr_verify_assert()
ColPivHouseholderQR<MatrixType> qr;
VERIFY_RAISES_ASSERT(qr.matrixQR())
VERIFY_RAISES_ASSERT(qr.solve(tmp))
VERIFY_RAISES_ASSERT(qr.matrixQ())
VERIFY_RAISES_ASSERT(qr.householderQ())
VERIFY_RAISES_ASSERT(qr.dimensionOfKernel())
VERIFY_RAISES_ASSERT(qr.isInjective())
VERIFY_RAISES_ASSERT(qr.isSurjective())