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authorGravatar Gael Guennebaud <g.gael@free.fr>2009-08-06 11:19:36 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2009-08-06 11:19:36 +0200
commitfa55cf5ce7b318bffa580573cba06ed2a7c60cde (patch)
treed6d6a251ec9830b2a12276346f0d6881f95c8bf1 /Eigen/src
parentb9b17ea5a534a692700f643ca5f7daf6e327f81c (diff)
fix compilation and segfault issues
Diffstat (limited to 'Eigen/src')
-rw-r--r--Eigen/src/Geometry/Homogeneous.h6
-rw-r--r--Eigen/src/QR/QR.h13
2 files changed, 15 insertions, 4 deletions
diff --git a/Eigen/src/Geometry/Homogeneous.h b/Eigen/src/Geometry/Homogeneous.h
index 0b154f47b..4a113cfc7 100644
--- a/Eigen/src/Geometry/Homogeneous.h
+++ b/Eigen/src/Geometry/Homogeneous.h
@@ -217,6 +217,9 @@ struct ei_homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs>
: m_lhs(lhs), m_rhs(rhs)
{}
+ inline int rows() const { m_lhs.rows(); }
+ inline int cols() const { m_rhs.cols(); }
+
template<typename Dest> void evalTo(Dest& dst) const
{
// FIXME investigate how to allow lazy evaluation of this product when possible
@@ -243,6 +246,9 @@ struct ei_homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs>
: m_lhs(lhs), m_rhs(rhs)
{}
+ inline int rows() const { m_lhs.rows(); }
+ inline int cols() const { m_rhs.cols(); }
+
template<typename Dest> void evalTo(Dest& dst) const
{
// FIXME investigate how to allow lazy evaluation of this product when possible
diff --git a/Eigen/src/QR/QR.h b/Eigen/src/QR/QR.h
index ba41c0fc4..98ef4da25 100644
--- a/Eigen/src/QR/QR.h
+++ b/Eigen/src/QR/QR.h
@@ -120,6 +120,7 @@ void HouseholderQR<MatrixType>::compute(const MatrixType& matrix)
int rows = matrix.rows();
int cols = matrix.cols();
RealScalar eps2 = precision<RealScalar>()*precision<RealScalar>();
+ Matrix<Scalar,1,MatrixType::ColsAtCompileTime> temp(cols);
for (int k = 0; k < cols; ++k)
{
@@ -161,8 +162,10 @@ void HouseholderQR<MatrixType>::compute(const MatrixType& matrix)
if (remainingCols>0)
{
m_qr.coeffRef(k,k) = Scalar(1);
- m_qr.corner(BottomRight, remainingSize, remainingCols) -= ei_conj(h) * m_qr.col(k).end(remainingSize)
- * (m_qr.col(k).end(remainingSize).adjoint() * m_qr.corner(BottomRight, remainingSize, remainingCols));
+ temp.end(remainingCols) = (m_qr.col(k).end(remainingSize).adjoint()
+ * m_qr.corner(BottomRight, remainingSize, remainingCols)).lazy();
+ m_qr.corner(BottomRight, remainingSize, remainingCols) -= (ei_conj(h) * m_qr.col(k).end(remainingSize)
+ * temp.end(remainingCols)).lazy();
m_qr.coeffRef(k,k) = beta;
}
}
@@ -207,6 +210,7 @@ MatrixType HouseholderQR<MatrixType>::matrixQ() const
int rows = m_qr.rows();
int cols = m_qr.cols();
MatrixType res = MatrixType::Identity(rows, cols);
+ Matrix<Scalar,1,MatrixType::ColsAtCompileTime> temp(cols);
for (int k = cols-1; k >= 0; k--)
{
// to make easier the computation of the transformation, let's temporarily
@@ -214,8 +218,9 @@ MatrixType HouseholderQR<MatrixType>::matrixQ() const
Scalar beta = m_qr.coeff(k,k);
m_qr.const_cast_derived().coeffRef(k,k) = 1;
int endLength = rows-k;
- res.corner(BottomRight,endLength, cols-k) -= ((m_hCoeffs.coeff(k) * m_qr.col(k).end(endLength))
- * (m_qr.col(k).end(endLength).adjoint() * res.corner(BottomRight,endLength, cols-k)).lazy()).lazy();
+
+ temp.end(cols-k) = (m_qr.col(k).end(endLength).adjoint() * res.corner(BottomRight,endLength, cols-k)).lazy();
+ res.corner(BottomRight,endLength, cols-k) -= ((m_hCoeffs.coeff(k) * m_qr.col(k).end(endLength)) * temp.end(cols-k)).lazy();
m_qr.const_cast_derived().coeffRef(k,k) = beta;
}
return res;