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-rw-r--r--Eigen/Core1
-rw-r--r--Eigen/Householder1
-rw-r--r--Eigen/src/Core/AnyMatrixBase.h153
-rw-r--r--Eigen/src/Core/Matrix.h100
-rw-r--r--Eigen/src/Core/MatrixBase.h70
-rw-r--r--Eigen/src/Core/Product.h14
-rw-r--r--Eigen/src/Core/StableNorm.h2
-rw-r--r--Eigen/src/Core/TriangularMatrix.h12
-rw-r--r--Eigen/src/Core/VectorBlock.h3
-rw-r--r--Eigen/src/Core/Visitor.h33
-rw-r--r--Eigen/src/Core/util/ForwardDeclarations.h1
-rw-r--r--Eigen/src/Core/util/XprHelper.h4
-rw-r--r--Eigen/src/Eigenvalues/ComplexSchur.h54
-rw-r--r--Eigen/src/Eigenvalues/HessenbergDecomposition.h6
-rw-r--r--Eigen/src/Geometry/Transform.h22
-rw-r--r--Eigen/src/Householder/HouseholderSequence.h168
-rw-r--r--Eigen/src/Jacobi/Jacobi.h2
-rw-r--r--Eigen/src/LU/PartialLU.h11
-rw-r--r--Eigen/src/QR/ColPivotingHouseholderQR.h60
-rw-r--r--Eigen/src/QR/FullPivotingHouseholderQR.h26
-rw-r--r--Eigen/src/QR/HouseholderQR.h37
-rw-r--r--Eigen/src/SVD/JacobiSVD.h32
-rw-r--r--Eigen/src/Sparse/CholmodSupport.h15
-rw-r--r--Eigen/src/Sparse/SuperLUSupport.h2
24 files changed, 582 insertions, 247 deletions
diff --git a/Eigen/Core b/Eigen/Core
index 854f737d6..42eb363a9 100644
--- a/Eigen/Core
+++ b/Eigen/Core
@@ -143,6 +143,7 @@ namespace Eigen {
#include "src/Core/Functors.h"
#include "src/Core/MatrixBase.h"
+#include "src/Core/AnyMatrixBase.h"
#include "src/Core/Coeffs.h"
#ifndef EIGEN_PARSED_BY_DOXYGEN // work around Doxygen bug triggered by Assign.h r814874
diff --git a/Eigen/Householder b/Eigen/Householder
index ba06bd8fb..ef3e61373 100644
--- a/Eigen/Householder
+++ b/Eigen/Householder
@@ -16,6 +16,7 @@ namespace Eigen {
*/
#include "src/Householder/Householder.h"
+#include "src/Householder/HouseholderSequence.h"
} // namespace Eigen
diff --git a/Eigen/src/Core/AnyMatrixBase.h b/Eigen/src/Core/AnyMatrixBase.h
new file mode 100644
index 000000000..cd354d7b1
--- /dev/null
+++ b/Eigen/src/Core/AnyMatrixBase.h
@@ -0,0 +1,153 @@
+// 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 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_ANYMATRIXBASE_H
+#define EIGEN_ANYMATRIXBASE_H
+
+
+/** Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
+ *
+ * In other words, an AnyMatrixBase object is an object that can be copied into a MatrixBase.
+ *
+ * Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal matrices, etc.
+ *
+ * Notice that this class is trivial, it is only used to disambiguate overloaded functions.
+ */
+template<typename Derived> struct AnyMatrixBase
+{
+ typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
+
+ Derived& derived() { return *static_cast<Derived*>(this); }
+ const Derived& derived() const { return *static_cast<const Derived*>(this); }
+
+ /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
+ inline int rows() const { return derived().rows(); }
+ /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
+ inline int cols() const { return derived().cols(); }
+
+ /** \internal Don't use it, but do the equivalent: \code dst = *this; \endcode */
+ template<typename Dest> inline void evalTo(Dest& dst) const
+ { derived().evalTo(dst); }
+
+ /** \internal Don't use it, but do the equivalent: \code dst += *this; \endcode */
+ template<typename Dest> inline void addToDense(Dest& dst) const
+ {
+ // This is the default implementation,
+ // derived class can reimplement it in a more optimized way.
+ typename Dest::PlainMatrixType res(rows(),cols());
+ evalTo(res);
+ dst += res;
+ }
+
+ /** \internal Don't use it, but do the equivalent: \code dst -= *this; \endcode */
+ template<typename Dest> inline void subToDense(Dest& dst) const
+ {
+ // This is the default implementation,
+ // derived class can reimplement it in a more optimized way.
+ typename Dest::PlainMatrixType res(rows(),cols());
+ evalTo(res);
+ dst -= res;
+ }
+
+ /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheRight(*this); \endcode */
+ template<typename Dest> inline void applyThisOnTheRight(Dest& dst) const
+ {
+ // This is the default implementation,
+ // derived class can reimplement it in a more optimized way.
+ dst = dst * this->derived();
+ }
+
+ /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheLeft(*this); \endcode */
+ template<typename Dest> inline void applyThisOnTheLeft(Dest& dst) const
+ {
+ // This is the default implementation,
+ // derived class can reimplement it in a more optimized way.
+ dst = this->derived() * dst;
+ }
+
+};
+
+/***************************************************************************
+* Implementation of matrix base methods
+***************************************************************************/
+
+/** Copies the generic expression \a other into *this. \returns a reference to *this.
+ * The expression must provide a (templated) evalToDense(Derived& dst) const function
+ * which does the actual job. In practice, this allows any user to write its own
+ * special matrix without having to modify MatrixBase */
+template<typename Derived>
+template<typename OtherDerived>
+Derived& MatrixBase<Derived>::operator=(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().evalTo(derived());
+ return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& MatrixBase<Derived>::operator+=(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().addToDense(derived());
+ return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& MatrixBase<Derived>::operator-=(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().subToDense(derived());
+ return derived();
+}
+
+/** replaces \c *this by \c *this * \a other.
+ *
+ * \returns a reference to \c *this
+ */
+template<typename Derived>
+template<typename OtherDerived>
+inline Derived&
+MatrixBase<Derived>::operator*=(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().applyThisOnTheRight(derived());
+ return derived();
+}
+
+/** replaces \c *this by \c *this * \a other. It is equivalent to MatrixBase::operator*=() */
+template<typename Derived>
+template<typename OtherDerived>
+inline void MatrixBase<Derived>::applyOnTheRight(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().applyThisOnTheRight(derived());
+}
+
+/** replaces \c *this by \c *this * \a other. */
+template<typename Derived>
+template<typename OtherDerived>
+inline void MatrixBase<Derived>::applyOnTheLeft(const AnyMatrixBase<OtherDerived> &other)
+{
+ other.derived().applyThisOnTheLeft(derived());
+}
+
+#endif // EIGEN_ANYMATRIXBASE_H
diff --git a/Eigen/src/Core/Matrix.h b/Eigen/src/Core/Matrix.h
index 0975b3b77..c08f12491 100644
--- a/Eigen/src/Core/Matrix.h
+++ b/Eigen/src/Core/Matrix.h
@@ -25,6 +25,7 @@
#ifndef EIGEN_MATRIX_H
#define EIGEN_MATRIX_H
+template <typename Derived, typename OtherDerived, bool IsVector = static_cast<bool>(Derived::IsVectorAtCompileTime)> struct ei_conservative_resize_like_impl;
/** \class Matrix
*
@@ -308,7 +309,7 @@ class Matrix
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE void resizeLike(const MatrixBase<OtherDerived>& other)
- {
+ {
if(RowsAtCompileTime == 1)
{
ei_assert(other.isVector());
@@ -324,40 +325,28 @@ class Matrix
/** Resizes \c *this to a \a rows x \a cols matrix while leaving old values of *this untouched.
*
- * This method is intended for dynamic-size matrices, although it is legal to call it on any
- * matrix as long as fixed dimensions are left unchanged. If you only want to change the number
+ * This method is intended for dynamic-size matrices. If you only want to change the number
* of rows and/or of columns, you can use conservativeResize(NoChange_t, int),
* conservativeResize(int, NoChange_t).
*
* The top-left part of the resized matrix will be the same as the overlapping top-left corner
- * of *this. In case values need to be appended to the matrix they will be uninitialized per
- * default and set to zero when init_with_zero is set to true.
+ * of *this. In case values need to be appended to the matrix they will be uninitialized.
*/
- inline void conservativeResize(int rows, int cols, bool init_with_zero = false)
+ EIGEN_STRONG_INLINE void conservativeResize(int rows, int cols)
{
- // Note: Here is space for improvement. Basically, for conservativeResize(int,int),
- // neither RowsAtCompileTime or ColsAtCompileTime must be Dynamic. If only one of the
- // dimensions is dynamic, one could use either conservativeResize(int rows, NoChange_t) or
- // conservativeResize(NoChange_t, int cols). For these methods new static asserts like
- // EIGEN_STATIC_ASSERT_DYNAMIC_ROWS and EIGEN_STATIC_ASSERT_DYNAMIC_COLS would be good.
- EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Matrix)
- PlainMatrixType tmp = init_with_zero ? PlainMatrixType::Zero(rows, cols) : PlainMatrixType(rows,cols);
- const int common_rows = std::min(rows, this->rows());
- const int common_cols = std::min(cols, this->cols());
- tmp.block(0,0,common_rows,common_cols) = this->block(0,0,common_rows,common_cols);
- this->derived().swap(tmp);
+ conservativeResizeLike(PlainMatrixType(rows, cols));
}
- EIGEN_STRONG_INLINE void conservativeResize(int rows, NoChange_t, bool init_with_zero = false)
+ EIGEN_STRONG_INLINE void conservativeResize(int rows, NoChange_t)
{
- // Note: see the comment in conservativeResize(int,int,bool)
- conservativeResize(rows, cols(), init_with_zero);
+ // Note: see the comment in conservativeResize(int,int)
+ conservativeResize(rows, cols());
}
- EIGEN_STRONG_INLINE void conservativeResize(NoChange_t, int cols, bool init_with_zero = false)
+ EIGEN_STRONG_INLINE void conservativeResize(NoChange_t, int cols)
{
- // Note: see the comment in conservativeResize(int,int,bool)
- conservativeResize(rows(), cols, init_with_zero);
+ // Note: see the comment in conservativeResize(int,int)
+ conservativeResize(rows(), cols);
}
/** Resizes \c *this to a vector of length \a size while retaining old values of *this.
@@ -366,21 +355,17 @@ class Matrix
* partially dynamic matrices when the static dimension is anything other
* than 1. For example it will not work with Matrix<double, 2, Dynamic>.
*
- * When values are appended, they will be uninitialized per default and set
- * to zero when init_with_zero is set to true.
+ * When values are appended, they will be uninitialized.
*/
- inline void conservativeResize(int size, bool init_with_zero = false)
+ EIGEN_STRONG_INLINE void conservativeResize(int size)
{
- EIGEN_STATIC_ASSERT_VECTOR_ONLY(Matrix)
- EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Matrix)
+ conservativeResizeLike(PlainMatrixType(size));
+ }
- if (RowsAtCompileTime == 1 || ColsAtCompileTime == 1)
- {
- PlainMatrixType tmp = init_with_zero ? PlainMatrixType::Zero(size) : PlainMatrixType(size);
- const int common_size = std::min<int>(this->size(),size);
- tmp.segment(0,common_size) = this->segment(0,common_size);
- this->derived().swap(tmp);
- }
+ template<typename OtherDerived>
+ EIGEN_STRONG_INLINE void conservativeResizeLike(const MatrixBase<OtherDerived>& other)
+ {
+ ei_conservative_resize_like_impl<Matrix, OtherDerived>::run(*this, other);
}
/** Copies the value of the expression \a other into \c *this with automatic resizing.
@@ -713,13 +698,45 @@ class Matrix
m_storage.data()[1] = y;
}
- template<typename MatrixType, typename OtherDerived, bool IsSameType, bool IsDynamicSize>
+ template<typename MatrixType, typename OtherDerived, bool SwapPointers>
friend struct ei_matrix_swap_impl;
};
-template<typename MatrixType, typename OtherDerived,
- bool IsSameType = ei_is_same_type<MatrixType, OtherDerived>::ret,
- bool IsDynamicSize = MatrixType::SizeAtCompileTime==Dynamic>
+template <typename Derived, typename OtherDerived, bool IsVector>
+struct ei_conservative_resize_like_impl
+{
+ static void run(MatrixBase<Derived>& _this, const MatrixBase<OtherDerived>& other)
+ {
+ // Note: Here is space for improvement. Basically, for conservativeResize(int,int),
+ // neither RowsAtCompileTime or ColsAtCompileTime must be Dynamic. If only one of the
+ // dimensions is dynamic, one could use either conservativeResize(int rows, NoChange_t) or
+ // conservativeResize(NoChange_t, int cols). For these methods new static asserts like
+ // EIGEN_STATIC_ASSERT_DYNAMIC_ROWS and EIGEN_STATIC_ASSERT_DYNAMIC_COLS would be good.
+ EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Derived)
+ EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(OtherDerived)
+
+ typename MatrixBase<Derived>::PlainMatrixType tmp(other);
+ const int common_rows = std::min(tmp.rows(), _this.rows());
+ const int common_cols = std::min(tmp.cols(), _this.cols());
+ tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
+ _this.derived().swap(tmp);
+ }
+};
+
+template <typename Derived, typename OtherDerived>
+struct ei_conservative_resize_like_impl<Derived,OtherDerived,true>
+{
+ static void run(MatrixBase<Derived>& _this, const MatrixBase<OtherDerived>& other)
+ {
+ // segment(...) will check whether Derived/OtherDerived are vectors!
+ typename MatrixBase<Derived>::PlainMatrixType tmp(other);
+ const int common_size = std::min<int>(_this.size(),tmp.size());
+ tmp.segment(0,common_size) = _this.segment(0,common_size);
+ _this.derived().swap(tmp);
+ }
+};
+
+template<typename MatrixType, typename OtherDerived, bool SwapPointers>
struct ei_matrix_swap_impl
{
static inline void run(MatrixType& matrix, MatrixBase<OtherDerived>& other)
@@ -729,7 +746,7 @@ struct ei_matrix_swap_impl
};
template<typename MatrixType, typename OtherDerived>
-struct ei_matrix_swap_impl<MatrixType, OtherDerived, true, true>
+struct ei_matrix_swap_impl<MatrixType, OtherDerived, true>
{
static inline void run(MatrixType& matrix, MatrixBase<OtherDerived>& other)
{
@@ -741,7 +758,8 @@ template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int
template<typename OtherDerived>
inline void Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::swap(const MatrixBase<OtherDerived>& other)
{
- ei_matrix_swap_impl<Matrix, OtherDerived>::run(*this, *const_cast<MatrixBase<OtherDerived>*>(&other));
+ enum { SwapPointers = ei_is_same_type<Matrix, OtherDerived>::ret && Base::SizeAtCompileTime==Dynamic };
+ ei_matrix_swap_impl<Matrix, OtherDerived, bool(SwapPointers)>::run(*this, *const_cast<MatrixBase<OtherDerived>*>(&other));
}
/** \defgroup matrixtypedefs Global matrix typedefs
diff --git a/Eigen/src/Core/MatrixBase.h b/Eigen/src/Core/MatrixBase.h
index ad5fde562..4835f167c 100644
--- a/Eigen/src/Core/MatrixBase.h
+++ b/Eigen/src/Core/MatrixBase.h
@@ -26,46 +26,6 @@
#ifndef EIGEN_MATRIXBASE_H
#define EIGEN_MATRIXBASE_H
-
-/** Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
- *
- * In other words, an AnyMatrixBase object is an object that can be copied into a MatrixBase.
- *
- * Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal matrices, etc.
- *
- * Notice that this class is trivial, it is only used to disambiguate overloaded functions.
- */
-template<typename Derived> struct AnyMatrixBase
- : public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
- typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
-{
- typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
-
- Derived& derived() { return *static_cast<Derived*>(this); }
- const Derived& derived() const { return *static_cast<const Derived*>(this); }
- /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
- inline int rows() const { return derived().rows(); }
- /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
- inline int cols() const { return derived().cols(); }
-
- template<typename Dest> inline void evalTo(Dest& dst) const
- { derived().evalTo(dst); }
-
- template<typename Dest> inline void addToDense(Dest& dst) const
- {
- typename Dest::PlainMatrixType res(rows(),cols());
- evalToDense(res);
- dst += res;
- }
-
- template<typename Dest> inline void subToDense(Dest& dst) const
- {
- typename Dest::PlainMatrixType res(rows(),cols());
- evalToDense(res);
- dst -= res;
- }
-};
-
/** \class MatrixBase
*
* \brief Base class for all matrices, vectors, and expressions
@@ -93,11 +53,11 @@ template<typename Derived> struct AnyMatrixBase
*/
template<typename Derived> class MatrixBase
#ifndef EIGEN_PARSED_BY_DOXYGEN
- : public AnyMatrixBase<Derived>
+ : public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
+ typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
#endif // not EIGEN_PARSED_BY_DOXYGEN
{
public:
-
#ifndef EIGEN_PARSED_BY_DOXYGEN
using ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>::operator*;
@@ -302,21 +262,14 @@ template<typename Derived> class MatrixBase
*/
Derived& operator=(const MatrixBase& other);
- /** Copies the generic expression \a other into *this. \returns a reference to *this.
- * The expression must provide a (templated) evalToDense(Derived& dst) const function
- * which does the actual job. In practice, this allows any user to write its own
- * special matrix without having to modify MatrixBase */
template<typename OtherDerived>
- Derived& operator=(const AnyMatrixBase<OtherDerived> &other)
- { other.derived().evalToDense(derived()); return derived(); }
+ Derived& operator=(const AnyMatrixBase<OtherDerived> &other);
template<typename OtherDerived>
- Derived& operator+=(const AnyMatrixBase<OtherDerived> &other)
- { other.derived().addToDense(derived()); return derived(); }
+ Derived& operator+=(const AnyMatrixBase<OtherDerived> &other);
template<typename OtherDerived>
- Derived& operator-=(const AnyMatrixBase<OtherDerived> &other)
- { other.derived().subToDense(derived()); return derived(); }
+ Derived& operator-=(const AnyMatrixBase<OtherDerived> &other);
template<typename OtherDerived,typename OtherEvalType>
Derived& operator=(const ReturnByValue<OtherDerived,OtherEvalType>& func);
@@ -437,6 +390,12 @@ template<typename Derived> class MatrixBase
template<typename OtherDerived>
Derived& operator*=(const AnyMatrixBase<OtherDerived>& other);
+ template<typename OtherDerived>
+ void applyOnTheLeft(const AnyMatrixBase<OtherDerived>& other);
+
+ template<typename OtherDerived>
+ void applyOnTheRight(const AnyMatrixBase<OtherDerived>& other);
+
template<typename DiagonalDerived>
const DiagonalProduct<Derived, DiagonalDerived, DiagonalOnTheRight>
operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
@@ -676,8 +635,11 @@ template<typename Derived> class MatrixBase
typename ei_traits<Derived>::Scalar minCoeff() const;
typename ei_traits<Derived>::Scalar maxCoeff() const;
- typename ei_traits<Derived>::Scalar minCoeff(int* row, int* col = 0) const;
- typename ei_traits<Derived>::Scalar maxCoeff(int* row, int* col = 0) const;
+ typename ei_traits<Derived>::Scalar minCoeff(int* row, int* col) const;
+ typename ei_traits<Derived>::Scalar maxCoeff(int* row, int* col) const;
+
+ typename ei_traits<Derived>::Scalar minCoeff(int* index) const;
+ typename ei_traits<Derived>::Scalar maxCoeff(int* index) const;
template<typename BinaryOp>
typename ei_result_of<BinaryOp(typename ei_traits<Derived>::Scalar)>::type
diff --git a/Eigen/src/Core/Product.h b/Eigen/src/Core/Product.h
index e7227d4f6..7f0c2df6e 100644
--- a/Eigen/src/Core/Product.h
+++ b/Eigen/src/Core/Product.h
@@ -434,18 +434,4 @@ MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
return typename ProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
}
-
-
-/** replaces \c *this by \c *this * \a other.
- *
- * \returns a reference to \c *this
- */
-template<typename Derived>
-template<typename OtherDerived>
-inline Derived &
-MatrixBase<Derived>::operator*=(const AnyMatrixBase<OtherDerived> &other)
-{
- return derived() = derived() * other.derived();
-}
-
#endif // EIGEN_PRODUCT_H
diff --git a/Eigen/src/Core/StableNorm.h b/Eigen/src/Core/StableNorm.h
index 77fe79782..facab9dbd 100644
--- a/Eigen/src/Core/StableNorm.h
+++ b/Eigen/src/Core/StableNorm.h
@@ -56,7 +56,7 @@ MatrixBase<Derived>::stableNorm() const
{
const int blockSize = 4096;
RealScalar scale = 0;
- RealScalar invScale;
+ RealScalar invScale = 1;
RealScalar ssq = 0; // sum of square
enum {
Alignment = (int(Flags)&DirectAccessBit) || (int(Flags)&AlignedBit) ? ForceAligned : AsRequested
diff --git a/Eigen/src/Core/TriangularMatrix.h b/Eigen/src/Core/TriangularMatrix.h
index b0362f20c..17726bca3 100644
--- a/Eigen/src/Core/TriangularMatrix.h
+++ b/Eigen/src/Core/TriangularMatrix.h
@@ -91,9 +91,9 @@ template<typename Derived> class TriangularBase : public AnyMatrixBase<Derived>
#endif // not EIGEN_PARSED_BY_DOXYGEN
template<typename DenseDerived>
- void evalToDense(MatrixBase<DenseDerived> &other) const;
+ void evalTo(MatrixBase<DenseDerived> &other) const;
template<typename DenseDerived>
- void evalToDenseLazy(MatrixBase<DenseDerived> &other) const;
+ void evalToLazy(MatrixBase<DenseDerived> &other) const;
protected:
@@ -546,23 +546,23 @@ void TriangularView<MatrixType, Mode>::lazyAssign(const TriangularBase<OtherDeri
* If the matrix is triangular, the opposite part is set to zero. */
template<typename Derived>
template<typename DenseDerived>
-void TriangularBase<Derived>::evalToDense(MatrixBase<DenseDerived> &other) const
+void TriangularBase<Derived>::evalTo(MatrixBase<DenseDerived> &other) const
{
if(ei_traits<Derived>::Flags & EvalBeforeAssigningBit)
{
typename Derived::PlainMatrixType other_evaluated(rows(), cols());
- evalToDenseLazy(other_evaluated);
+ evalToLazy(other_evaluated);
other.derived().swap(other_evaluated);
}
else
- evalToDenseLazy(other.derived());
+ evalToLazy(other.derived());
}
/** Assigns a triangular or selfadjoint matrix to a dense matrix.
* If the matrix is triangular, the opposite part is set to zero. */
template<typename Derived>
template<typename DenseDerived>
-void TriangularBase<Derived>::evalToDenseLazy(MatrixBase<DenseDerived> &other) const
+void TriangularBase<Derived>::evalToLazy(MatrixBase<DenseDerived> &other) const
{
const bool unroll = DenseDerived::SizeAtCompileTime * Derived::CoeffReadCost / 2
<= EIGEN_UNROLLING_LIMIT;
diff --git a/Eigen/src/Core/VectorBlock.h b/Eigen/src/Core/VectorBlock.h
index b291f7b1a..65268b626 100644
--- a/Eigen/src/Core/VectorBlock.h
+++ b/Eigen/src/Core/VectorBlock.h
@@ -77,11 +77,12 @@ template<typename VectorType, int Size, int PacketAccess> class VectorBlock
typedef Block<VectorType,
ei_traits<VectorType>::RowsAtCompileTime==1 ? 1 : Size,
ei_traits<VectorType>::ColsAtCompileTime==1 ? 1 : Size,
- PacketAccess> Base;
+ PacketAccess> _Base;
enum {
IsColVector = ei_traits<VectorType>::ColsAtCompileTime==1
};
public:
+ _EIGEN_GENERIC_PUBLIC_INTERFACE(VectorBlock, _Base)
using Base::operator=;
using Base::operator+=;
diff --git a/Eigen/src/Core/Visitor.h b/Eigen/src/Core/Visitor.h
index 598c2db8d..590efc766 100644
--- a/Eigen/src/Core/Visitor.h
+++ b/Eigen/src/Core/Visitor.h
@@ -164,7 +164,7 @@ struct ei_functor_traits<ei_max_coeff_visitor<Scalar> > {
/** \returns the minimum of all coefficients of *this
* and puts in *row and *col its location.
*
- * \sa MatrixBase::maxCoeff(int*,int*), MatrixBase::visitor(), MatrixBase::minCoeff()
+ * \sa MatrixBase::minCoeff(int*), MatrixBase::maxCoeff(int*,int*), MatrixBase::visitor(), MatrixBase::minCoeff()
*/
template<typename Derived>
typename ei_traits<Derived>::Scalar
@@ -177,6 +177,22 @@ MatrixBase<Derived>::minCoeff(int* row, int* col) const
return minVisitor.res;
}
+/** \returns the minimum of all coefficients of *this
+ * and puts in *index its location.
+ *
+ * \sa MatrixBase::minCoeff(int*,int*), MatrixBase::maxCoeff(int*,int*), MatrixBase::visitor(), MatrixBase::minCoeff()
+ */
+template<typename Derived>
+typename ei_traits<Derived>::Scalar
+MatrixBase<Derived>::minCoeff(int* index) const
+{
+ EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+ ei_min_coeff_visitor<Scalar> minVisitor;
+ this->visit(minVisitor);
+ *index = (RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row;
+ return minVisitor.res;
+}
+
/** \returns the maximum of all coefficients of *this
* and puts in *row and *col its location.
*
@@ -193,5 +209,20 @@ MatrixBase<Derived>::maxCoeff(int* row, int* col) const
return maxVisitor.res;
}
+/** \returns the maximum of all coefficients of *this
+ * and puts in *index its location.
+ *
+ * \sa MatrixBase::maxCoeff(int*,int*), MatrixBase::minCoeff(int*,int*), MatrixBase::visitor(), MatrixBase::maxCoeff()
+ */
+template<typename Derived>
+typename ei_traits<Derived>::Scalar
+MatrixBase<Derived>::maxCoeff(int* index) const
+{
+ EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+ ei_max_coeff_visitor<Scalar> maxVisitor;
+ this->visit(maxVisitor);
+ *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row;
+ return maxVisitor.res;
+}
#endif // EIGEN_VISITOR_H
diff --git a/Eigen/src/Core/util/ForwardDeclarations.h b/Eigen/src/Core/util/ForwardDeclarations.h
index c5f27d80b..3f66738f0 100644
--- a/Eigen/src/Core/util/ForwardDeclarations.h
+++ b/Eigen/src/Core/util/ForwardDeclarations.h
@@ -123,6 +123,7 @@ template<typename MatrixType> class SVD;
template<typename MatrixType, unsigned int Options = 0> class JacobiSVD;
template<typename MatrixType, int UpLo = LowerTriangular> class LLT;
template<typename MatrixType> class LDLT;
+template<typename VectorsType, typename CoeffsType> class HouseholderSequence;
template<typename Scalar> class PlanarRotation;
// Geometry module:
diff --git a/Eigen/src/Core/util/XprHelper.h b/Eigen/src/Core/util/XprHelper.h
index 2f8d35d05..cea2faaa8 100644
--- a/Eigen/src/Core/util/XprHelper.h
+++ b/Eigen/src/Core/util/XprHelper.h
@@ -217,7 +217,7 @@ template<unsigned int Flags> struct ei_are_flags_consistent
* overloads for complex types */
template<typename Derived,typename Scalar,typename OtherScalar,
bool EnableIt = !ei_is_same_type<Scalar,OtherScalar>::ret >
-struct ei_special_scalar_op_base
+struct ei_special_scalar_op_base : public AnyMatrixBase<Derived>
{
// dummy operator* so that the
// "using ei_special_scalar_op_base::operator*" compiles
@@ -225,7 +225,7 @@ struct ei_special_scalar_op_base
};
template<typename Derived,typename Scalar,typename OtherScalar>
-struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true>
+struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true> : public AnyMatrixBase<Derived>
{
const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
operator*(const OtherScalar& scalar) const
diff --git a/Eigen/src/Eigenvalues/ComplexSchur.h b/Eigen/src/Eigenvalues/ComplexSchur.h
index 58e2ea440..0534715c4 100644
--- a/Eigen/src/Eigenvalues/ComplexSchur.h
+++ b/Eigen/src/Eigenvalues/ComplexSchur.h
@@ -31,8 +31,15 @@
*
* \class ComplexShur
*
- * \brief Performs a complex Shur decomposition of a real or complex square matrix
+ * \brief Performs a complex Schur decomposition of a real or complex square matrix
*
+ * Given a real or complex square matrix A, this class computes the Schur decomposition:
+ * \f$ A = U T U^*\f$ where U is a unitary complex matrix, and T is a complex upper
+ * triangular matrix.
+ *
+ * The diagonal of the matrix T corresponds to the eigenvalues of the matrix A.
+ *
+ * \sa class RealSchur, class EigenSolver
*/
template<typename _MatrixType> class ComplexSchur
{
@@ -42,41 +49,56 @@ template<typename _MatrixType> class ComplexSchur
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef std::complex<RealScalar> Complex;
typedef Matrix<Complex, MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime> ComplexMatrixType;
+ enum {
+ Size = MatrixType::RowsAtCompileTime
+ };
- /**
- * \brief Default Constructor.
+ /** \brief Default Constructor.
*
* The default constructor is useful in cases in which the user intends to
- * perform decompositions via ComplexSchur::compute(const MatrixType&).
+ * perform decompositions via ComplexSchur::compute().
*/
- ComplexSchur() : m_matT(), m_matU(), m_isInitialized(false)
+ ComplexSchur(int size = Size==Dynamic ? 0 : Size)
+ : m_matT(size,size), m_matU(size,size), m_isInitialized(false), m_matUisUptodate(false)
{}
- ComplexSchur(const MatrixType& matrix)
+ /** Constructor computing the Schur decomposition of the matrix \a matrix.
+ * If \a skipU is true, then the matrix U is not computed. */
+ ComplexSchur(const MatrixType& matrix, bool skipU = false)
: m_matT(matrix.rows(),matrix.cols()),
m_matU(matrix.rows(),matrix.cols()),
- m_isInitialized(false)
+ m_isInitialized(false),
+ m_matUisUptodate(false)
{
- compute(matrix);
+ compute(matrix, skipU);
}
- ComplexMatrixType matrixU() const
+ /** \returns a const reference to the matrix U of the respective Schur decomposition. */
+ const ComplexMatrixType& matrixU() const
{
ei_assert(m_isInitialized && "ComplexSchur is not initialized.");
+ ei_assert(m_matUisUptodate && "The matrix U has not been computed during the ComplexSchur decomposition.");
return m_matU;
}
- ComplexMatrixType matrixT() const
+ /** \returns a const reference to the matrix T of the respective Schur decomposition.
+ * Note that this function returns a plain square matrix. If you want to reference
+ * only the upper triangular part, use:
+ * \code schur.matrixT().triangularView<Upper>() \endcode. */
+ const ComplexMatrixType& matrixT() const
{
ei_assert(m_isInitialized && "ComplexShur is not initialized.");
return m_matT;
}
- void compute(const MatrixType& matrix);
+ /** Computes the Schur decomposition of the matrix \a matrix.
+ * If \a skipU is true, then the matrix U is not computed. */
+ void compute(const MatrixType& matrix, bool skipU = false);
protected:
ComplexMatrixType m_matT, m_matU;
bool m_isInitialized;
+ bool m_matUisUptodate;
};
/** Computes the principal value of the square root of the complex \a z. */
@@ -117,17 +139,20 @@ std::complex<RealScalar> ei_sqrt(const std::complex<RealScalar> &z)
}
template<typename MatrixType>
-void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
+void ComplexSchur<MatrixType>::compute(const MatrixType& matrix, bool skipU)
{
// this code is inspired from Jampack
+
+ m_matUisUptodate = false;
assert(matrix.cols() == matrix.rows());
int n = matrix.cols();
// Reduce to Hessenberg form
+ // TODO skip Q if skipU = true
HessenbergDecomposition<MatrixType> hess(matrix);
m_matT = hess.matrixH();
- m_matU = hess.matrixQ();
+ if(!skipU) m_matU = hess.matrixQ();
int iu = m_matT.cols() - 1;
int il;
@@ -206,7 +231,7 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
{
m_matT.block(0,i,n,n-i).applyOnTheLeft(i, i+1, rot.adjoint());
m_matT.block(0,0,std::min(i+2,iu)+1,n).applyOnTheRight(i, i+1, rot);
- m_matU.applyOnTheRight(i, i+1, rot);
+ if(!skipU) m_matU.applyOnTheRight(i, i+1, rot);
if(i != iu-1)
{
@@ -232,6 +257,7 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
*/
m_isInitialized = true;
+ m_matUisUptodate = !skipU;
}
#endif // EIGEN_COMPLEX_SCHUR_H
diff --git a/Eigen/src/Eigenvalues/HessenbergDecomposition.h b/Eigen/src/Eigenvalues/HessenbergDecomposition.h
index b1e21d4ee..bb7e3fcfc 100644
--- a/Eigen/src/Eigenvalues/HessenbergDecomposition.h
+++ b/Eigen/src/Eigenvalues/HessenbergDecomposition.h
@@ -88,14 +88,14 @@ template<typename _MatrixType> class HessenbergDecomposition
_compute(m_matrix, m_hCoeffs);
}
- /** \returns the householder coefficients allowing to
+ /** \returns a const reference to the householder coefficients allowing to
* reconstruct the matrix Q from the packed data.
*
* \sa packedMatrix()
*/
- CoeffVectorType householderCoefficients() const { return m_hCoeffs; }
+ const CoeffVectorType& householderCoefficients() const { return m_hCoeffs; }
- /** \returns the internal result of the decomposition.
+ /** \returns a const reference to the internal representation of the decomposition.
*
* The returned matrix contains the following information:
* - the upper part and lower sub-diagonal represent the Hessenberg matrix H
diff --git a/Eigen/src/Geometry/Transform.h b/Eigen/src/Geometry/Transform.h
index 9eb8ed535..dcb41435b 100644
--- a/Eigen/src/Geometry/Transform.h
+++ b/Eigen/src/Geometry/Transform.h
@@ -395,7 +395,7 @@ public:
Transform& fromPositionOrientationScale(const MatrixBase<PositionDerived> &position,
const OrientationType& orientation, const MatrixBase<ScaleDerived> &scale);
- inline const MatrixType inverse(TransformTraits traits = (TransformTraits)Mode) const;
+ inline Transform inverse(TransformTraits traits = (TransformTraits)Mode) const;
/** \returns a const pointer to the column major internal matrix */
const Scalar* data() const { return m_matrix.data(); }
@@ -874,7 +874,7 @@ Transform<Scalar,Dim,Mode>::fromPositionOrientationScale(const MatrixBase<Positi
/** \nonstableyet
*
- * \returns the inverse transformation matrix according to some given knowledge
+ * \returns the inverse transformation according to some given knowledge
* on \c *this.
*
* \param traits allows to optimize the inversion process when the transformion
@@ -892,37 +892,37 @@ Transform<Scalar,Dim,Mode>::fromPositionOrientationScale(const MatrixBase<Positi
* \sa MatrixBase::inverse()
*/
template<typename Scalar, int Dim, int Mode>
-const typename Transform<Scalar,Dim,Mode>::MatrixType
+Transform<Scalar,Dim,Mode>
Transform<Scalar,Dim,Mode>::inverse(TransformTraits hint) const
{
+ Transform res;
if (hint == Projective)
{
- return m_matrix.inverse();
+ res.matrix() = m_matrix.inverse();
}
else
{
- MatrixType res;
if (hint == Isometry)
{
- res.template corner<Dim,Dim>(TopLeft) = linear().transpose();
+ res.matrix().template corner<Dim,Dim>(TopLeft) = linear().transpose();
}
else if(hint&Affine)
{
- res.template corner<Dim,Dim>(TopLeft) = linear().inverse();
+ res.matrix().template corner<Dim,Dim>(TopLeft) = linear().inverse();
}
else
{
ei_assert(false && "Invalid transform traits in Transform::Inverse");
}
// translation and remaining parts
- res.template corner<Dim,1>(TopRight) = - res.template corner<Dim,Dim>(TopLeft) * translation();
+ res.matrix().template corner<Dim,1>(TopRight) = - res.matrix().template corner<Dim,Dim>(TopLeft) * translation();
if(int(Mode)!=int(AffineCompact))
{
- res.template block<1,Dim>(Dim,0).setZero();
- res.coeffRef(Dim,Dim) = 1;
+ res.matrix().template block<1,Dim>(Dim,0).setZero();
+ res.matrix().coeffRef(Dim,Dim) = 1;
}
- return res;
}
+ return res;
}
/*****************************************************
diff --git a/Eigen/src/Householder/HouseholderSequence.h b/Eigen/src/Householder/HouseholderSequence.h
new file mode 100644
index 000000000..16e362814
--- /dev/null
+++ b/Eigen/src/Householder/HouseholderSequence.h
@@ -0,0 +1,168 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_HOUSEHOLDER_SEQUENCE_H
+#define EIGEN_HOUSEHOLDER_SEQUENCE_H
+
+/** \ingroup Householder_Module
+ * \householder_module
+ * \class HouseholderSequence
+ * \brief Represents a sequence of householder reflections with decreasing size
+ *
+ * This class represents a product sequence of householder reflections \f$ H = \Pi_0^{n-1} H_i \f$
+ * where \f$ H_i \f$ is the i-th householder transformation \f$ I - h_i v_i v_i^* \f$,
+ * \f$ v_i \f$ is the i-th householder vector \f$ [ 1, m_vectors(i+1,i), m_vectors(i+2,i), ...] \f$
+ * and \f$ h_i \f$ is the i-th householder coefficient \c m_coeffs[i].
+ *
+ * Typical usages are listed below, where H is a HouseholderSequence:
+ * \code
+ * A.applyOnTheRight(H); // A = A * H
+ * A.applyOnTheLeft(H); // A = H * A
+ * A.applyOnTheRight(H.adjoint()); // A = A * H^*
+ * A.applyOnTheLeft(H.adjoint()); // A = H^* * A
+ * MatrixXd Q = H; // conversion to a dense matrix
+ * \endcode
+ * In addition to the adjoint, you can also apply the inverse (=adjoint), the transpose, and the conjugate.
+ *
+ * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+ */
+
+template<typename VectorsType, typename CoeffsType>
+struct ei_traits<HouseholderSequence<VectorsType,CoeffsType> >
+{
+ typedef typename VectorsType::Scalar Scalar;
+ enum {
+ RowsAtCompileTime = ei_traits<VectorsType>::RowsAtCompileTime,
+ ColsAtCompileTime = ei_traits<VectorsType>::RowsAtCompileTime,
+ MaxRowsAtCompileTime = ei_traits<VectorsType>::MaxRowsAtCompileTime,
+ MaxColsAtCompileTime = ei_traits<VectorsType>::MaxRowsAtCompileTime,
+ Flags = 0
+ };
+};
+
+template<typename VectorsType, typename CoeffsType> class HouseholderSequence
+ : public AnyMatrixBase<HouseholderSequence<VectorsType,CoeffsType> >
+{
+ typedef typename VectorsType::Scalar Scalar;
+ public:
+
+ typedef HouseholderSequence<VectorsType,
+ typename ei_meta_if<NumTraits<Scalar>::IsComplex,
+ NestByValue<typename ei_cleantype<typename CoeffsType::ConjugateReturnType>::type >,
+ CoeffsType>::ret> ConjugateReturnType;
+
+ HouseholderSequence(const VectorsType& v, const CoeffsType& h, bool trans = false)
+ : m_vectors(v), m_coeffs(h), m_trans(trans)
+ {}
+
+ int rows() const { return m_vectors.rows(); }
+ int cols() const { return m_vectors.rows(); }
+
+ HouseholderSequence transpose() const
+ { return HouseholderSequence(m_vectors, m_coeffs, !m_trans); }
+
+ ConjugateReturnType conjugate() const
+ { return ConjugateReturnType(m_vectors, m_coeffs.conjugate(), m_trans); }
+
+ ConjugateReturnType adjoint() const
+ { return ConjugateReturnType(m_vectors, m_coeffs.conjugate(), !m_trans); }
+
+ ConjugateReturnType inverse() const { return adjoint(); }
+
+ /** \internal */
+ template<typename DestType> void evalTo(DestType& dst) const
+ {
+ int vecs = std::min(m_vectors.cols(),m_vectors.rows());
+ int length = m_vectors.rows();
+ dst.setIdentity();
+ Matrix<Scalar,1,DestType::RowsAtCompileTime> temp(dst.rows());
+ for(int k = vecs-1; k >= 0; --k)
+ {
+ if(m_trans)
+ dst.corner(BottomRight, length-k, length-k)
+ .applyHouseholderOnTheRight(m_vectors.col(k).end(length-k-1), m_coeffs.coeff(k), &temp.coeffRef(0));
+ else
+ dst.corner(BottomRight, length-k, length-k)
+ .applyHouseholderOnTheLeft(m_vectors.col(k).end(length-k-1), m_coeffs.coeff(k), &temp.coeffRef(k));
+ }
+ }
+
+ /** \internal */
+ template<typename Dest> inline void applyThisOnTheRight(Dest& dst) const
+ {
+ int vecs = std::min(m_vectors.cols(),m_vectors.rows()); // number of householder vectors
+ int length = m_vectors.rows(); // size of the largest householder vector
+ Matrix<Scalar,1,Dest::ColsAtCompileTime> temp(dst.rows());
+ for(int k = 0; k < vecs; ++k)
+ {
+ int actual_k = m_trans ? vecs-k-1 : k;
+ dst.corner(BottomRight, dst.rows(), length-k)
+ .applyHouseholderOnTheRight(m_vectors.col(k).end(length-k-1), m_coeffs.coeff(k), &temp.coeffRef(0));
+ }
+ }
+
+ /** \internal */
+ template<typename Dest> inline void applyThisOnTheLeft(Dest& dst) const
+ {
+ int vecs = std::min(m_vectors.cols(),m_vectors.rows()); // number of householder vectors
+ int length = m_vectors.rows(); // size of the largest householder vector
+ Matrix<Scalar,1,Dest::ColsAtCompileTime> temp(dst.cols());
+ for(int k = 0; k < vecs; ++k)
+ {
+ int actual_k = m_trans ? k : vecs-k-1;
+ dst.corner(BottomRight, length-actual_k, dst.cols())
+ .applyHouseholderOnTheLeft(m_vectors.col(actual_k).end(length-actual_k-1), m_coeffs.coeff(actual_k), &temp.coeffRef(0));
+ }
+ }
+
+ template<typename OtherDerived>
+ typename OtherDerived::PlainMatrixType operator*(const MatrixBase<OtherDerived>& other) const
+ {
+ typename OtherDerived::PlainMatrixType res(other);
+ applyThisOnTheLeft(res);
+ return res;
+ }
+
+ template<typename OtherDerived> friend
+ typename OtherDerived::PlainMatrixType operator*(const MatrixBase<OtherDerived>& other, const HouseholderSequence& h)
+ {
+ typename OtherDerived::PlainMatrixType res(other);
+ h.applyThisOnTheRight(res);
+ return res;
+ }
+
+ protected:
+
+ typename VectorsType::Nested m_vectors;
+ typename CoeffsType::Nested m_coeffs;
+ bool m_trans;
+};
+
+template<typename VectorsType, typename CoeffsType>
+HouseholderSequence<VectorsType,CoeffsType> makeHouseholderSequence(const VectorsType& v, const CoeffsType& h, bool trans=false)
+{
+ return HouseholderSequence<VectorsType,CoeffsType>(v, h, trans);
+}
+
+#endif // EIGEN_HOUSEHOLDER_SEQUENCE_H
diff --git a/Eigen/src/Jacobi/Jacobi.h b/Eigen/src/Jacobi/Jacobi.h
index 3905f4d8f..eeb81c178 100644
--- a/Eigen/src/Jacobi/Jacobi.h
+++ b/Eigen/src/Jacobi/Jacobi.h
@@ -123,7 +123,7 @@ bool PlanarRotation<Scalar>::makeJacobi(RealScalar x, Scalar y, RealScalar z)
}
/** Makes \c *this as a Jacobi rotation \c J such that applying \a J on both the right and left sides of the 2x2 selfadjoint matrix
- * \f$ B = \left ( \begin{array}{cc} \text{this}_{pp} & \text{this}_{pq} \\ \overline \text{this}_{pq} & \text{this}_{qq} \end{array} \right )\f$ yields
+ * \f$ B = \left ( \begin{array}{cc} \text{this}_{pp} & \text{this}_{pq} \\ (\text{this}_{pq})^* & \text{this}_{qq} \end{array} \right )\f$ yields
* a diagonal matrix \f$ A = J^* B J \f$
*
* Example: \include Jacobi_makeJacobi.cpp
diff --git a/Eigen/src/LU/PartialLU.h b/Eigen/src/LU/PartialLU.h
index 0ef59bac7..e467c62f0 100644
--- a/Eigen/src/LU/PartialLU.h
+++ b/Eigen/src/LU/PartialLU.h
@@ -2,6 +2,7 @@
// for linear algebra.
//
// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
@@ -215,10 +216,10 @@ struct ei_partial_lu_impl
typedef Map<Matrix<Scalar, Dynamic, Dynamic, StorageOrder> > MapLU;
typedef Block<MapLU, Dynamic, Dynamic> MatrixType;
typedef Block<MatrixType,Dynamic,Dynamic> BlockType;
-
+
/** \internal performs the LU decomposition in-place of the matrix \a lu
* using an unblocked algorithm.
- *
+ *
* In addition, this function returns the row transpositions in the
* vector \a row_transpositions which must have a size equal to the number
* of columns of the matrix \a lu, and an integer \a nb_transpositions
@@ -232,7 +233,7 @@ struct ei_partial_lu_impl
for(int k = 0; k < size; ++k)
{
int row_of_biggest_in_col;
- lu.block(k,k,rows-k,1).cwise().abs().maxCoeff(&row_of_biggest_in_col);
+ lu.col(k).end(rows-k).cwise().abs().maxCoeff(&row_of_biggest_in_col);
row_of_biggest_in_col += k;
row_transpositions[k] = row_of_biggest_in_col;
@@ -295,7 +296,7 @@ struct ei_partial_lu_impl
int bs = std::min(size-k,blockSize); // actual size of the block
int trows = rows - k - bs; // trailing rows
int tsize = size - k - bs; // trailing size
-
+
// partition the matrix:
// A00 | A01 | A02
// lu = A10 | A11 | A12
@@ -343,7 +344,7 @@ void ei_partial_lu_inplace(MatrixType& lu, IntVector& row_transpositions, int& n
{
ei_assert(lu.cols() == row_transpositions.size());
ei_assert((&row_transpositions.coeffRef(1)-&row_transpositions.coeffRef(0)) == 1);
-
+
ei_partial_lu_impl
<typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor>
::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.stride(), &row_transpositions.coeffRef(0), nb_transpositions);
diff --git a/Eigen/src/QR/ColPivotingHouseholderQR.h b/Eigen/src/QR/ColPivotingHouseholderQR.h
index 8024e3b9d..c4c7d2d55 100644
--- a/Eigen/src/QR/ColPivotingHouseholderQR.h
+++ b/Eigen/src/QR/ColPivotingHouseholderQR.h
@@ -45,14 +45,14 @@
template<typename MatrixType> class ColPivotingHouseholderQR
{
public:
-
+
enum {
RowsAtCompileTime = MatrixType::RowsAtCompileTime,
ColsAtCompileTime = MatrixType::ColsAtCompileTime,
Options = MatrixType::Options,
DiagSizeAtCompileTime = EIGEN_ENUM_MIN(ColsAtCompileTime,RowsAtCompileTime)
};
-
+
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixQType;
@@ -62,6 +62,7 @@ template<typename MatrixType> class ColPivotingHouseholderQR
typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
typedef Matrix<Scalar, RowsAtCompileTime, 1> ColVectorType;
typedef Matrix<RealScalar, 1, ColsAtCompileTime> RealRowVectorType;
+ typedef typename HouseholderSequence<MatrixQType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
/**
* \brief Default Constructor.
@@ -99,7 +100,7 @@ template<typename MatrixType> class ColPivotingHouseholderQR
template<typename OtherDerived, typename ResultType>
bool solve(const MatrixBase<OtherDerived>& b, ResultType *result) const;
- MatrixQType matrixQ(void) const;
+ HouseholderSequenceType matrixQ(void) const;
/** \returns a reference to the matrix where the Householder QR decomposition is stored
*/
@@ -110,13 +111,13 @@ template<typename MatrixType> class ColPivotingHouseholderQR
}
ColPivotingHouseholderQR& compute(const MatrixType& matrix);
-
+
const IntRowVectorType& colsPermutation() const
{
ei_assert(m_isInitialized && "ColPivotingHouseholderQR is not initialized.");
return m_cols_permutation;
}
-
+
/** \returns the absolute value of the determinant of the matrix of which
* *this is the QR decomposition. It has only linear complexity
* (that is, O(n) where n is the dimension of the square matrix)
@@ -145,7 +146,7 @@ template<typename MatrixType> class ColPivotingHouseholderQR
* \sa absDeterminant(), MatrixBase::determinant()
*/
typename MatrixType::RealScalar logAbsDeterminant() const;
-
+
/** \returns the rank of the matrix of which *this is the QR decomposition.
*
* \note This is computed at the time of the construction of the QR decomposition. This
@@ -268,7 +269,7 @@ ColPivotingHouseholderQR<MatrixType>& ColPivotingHouseholderQR<MatrixType>::comp
int cols = matrix.cols();
int size = std::min(rows,cols);
m_rank = size;
-
+
m_qr = matrix;
m_hCoeffs.resize(size);
@@ -279,18 +280,18 @@ ColPivotingHouseholderQR<MatrixType>& ColPivotingHouseholderQR<MatrixType>::comp
IntRowVectorType cols_transpositions(matrix.cols());
m_cols_permutation.resize(matrix.cols());
int number_of_transpositions = 0;
-
+
RealRowVectorType colSqNorms(cols);
for(int k = 0; k < cols; ++k)
colSqNorms.coeffRef(k) = m_qr.col(k).squaredNorm();
RealScalar biggestColSqNorm = colSqNorms.maxCoeff();
-
+
for (int k = 0; k < size; ++k)
{
int biggest_col_in_corner;
RealScalar biggestColSqNormInCorner = colSqNorms.end(cols-k).maxCoeff(&biggest_col_in_corner);
biggest_col_in_corner += k;
-
+
// if the corner is negligible, then we have less than full rank, and we can finish early
if(ei_isMuchSmallerThan(biggestColSqNormInCorner, biggestColSqNorm, m_precision))
{
@@ -302,10 +303,11 @@ ColPivotingHouseholderQR<MatrixType>& ColPivotingHouseholderQR<MatrixType>::comp
}
break;
}
-
+
cols_transpositions.coeffRef(k) = biggest_col_in_corner;
if(k != biggest_col_in_corner) {
m_qr.col(k).swap(m_qr.col(biggest_col_in_corner));
+ std::swap(colSqNorms.coeffRef(k), colSqNorms.coeffRef(biggest_col_in_corner));
++number_of_transpositions;
}
@@ -315,7 +317,7 @@ ColPivotingHouseholderQR<MatrixType>& ColPivotingHouseholderQR<MatrixType>::comp
m_qr.corner(BottomRight, rows-k, cols-k-1)
.applyHouseholderOnTheLeft(m_qr.col(k).end(rows-k-1), m_hCoeffs.coeffRef(k), &temp.coeffRef(k+1));
-
+
colSqNorms.end(cols-k-1) -= m_qr.row(k).end(cols-k-1).cwise().abs2();
}
@@ -325,7 +327,7 @@ ColPivotingHouseholderQR<MatrixType>& ColPivotingHouseholderQR<MatrixType>::comp
m_det_pq = (number_of_transpositions%2) ? -1 : 1;
m_isInitialized = true;
-
+
return *this;
}
@@ -351,16 +353,11 @@ bool ColPivotingHouseholderQR<MatrixType>::solve(
const int rows = m_qr.rows();
const int cols = b.cols();
ei_assert(b.rows() == rows);
-
+
typename OtherDerived::PlainMatrixType c(b);
-
- Matrix<Scalar,1,MatrixType::ColsAtCompileTime> temp(cols);
- for (int k = 0; k < m_rank; ++k)
- {
- int remainingSize = rows-k;
- c.corner(BottomRight, remainingSize, cols)
- .applyHouseholderOnTheLeft(m_qr.col(k).end(remainingSize-1), m_hCoeffs.coeff(k), &temp.coeffRef(0));
- }
+
+ // Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
+ c.applyOnTheLeft(makeHouseholderSequence(m_qr.corner(TopLeft,rows,m_rank), m_hCoeffs.start(m_rank)).transpose());
if(!isSurjective())
{
@@ -380,25 +377,12 @@ bool ColPivotingHouseholderQR<MatrixType>::solve(
return true;
}
-/** \returns the matrix Q */
+/** \returns the matrix Q as a sequence of householder transformations */
template<typename MatrixType>
-typename ColPivotingHouseholderQR<MatrixType>::MatrixQType ColPivotingHouseholderQR<MatrixType>::matrixQ() const
+typename ColPivotingHouseholderQR<MatrixType>::HouseholderSequenceType ColPivotingHouseholderQR<MatrixType>::matrixQ() const
{
ei_assert(m_isInitialized && "ColPivotingHouseholderQR is not initialized.");
- // compute the product H'_0 H'_1 ... H'_n-1,
- // where H_k is the k-th Householder transformation I - h_k v_k v_k'
- // and v_k is the k-th Householder vector [1,m_qr(k+1,k), m_qr(k+2,k), ...]
- int rows = m_qr.rows();
- int cols = m_qr.cols();
- int size = std::min(rows,cols);
- MatrixQType res = MatrixQType::Identity(rows, rows);
- Matrix<Scalar,1,MatrixType::RowsAtCompileTime> temp(rows);
- for (int k = size-1; k >= 0; k--)
- {
- res.block(k, k, rows-k, rows-k)
- .applyHouseholderOnTheLeft(m_qr.col(k).end(rows-k-1), ei_conj(m_hCoeffs.coeff(k)), &temp.coeffRef(k));
- }
- return res;
+ return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate());
}
#endif // EIGEN_HIDE_HEAVY_CODE
diff --git a/Eigen/src/QR/FullPivotingHouseholderQR.h b/Eigen/src/QR/FullPivotingHouseholderQR.h
index 0d542cf7a..9fee77803 100644
--- a/Eigen/src/QR/FullPivotingHouseholderQR.h
+++ b/Eigen/src/QR/FullPivotingHouseholderQR.h
@@ -45,14 +45,14 @@
template<typename MatrixType> class FullPivotingHouseholderQR
{
public:
-
+
enum {
RowsAtCompileTime = MatrixType::RowsAtCompileTime,
ColsAtCompileTime = MatrixType::ColsAtCompileTime,
Options = MatrixType::Options,
DiagSizeAtCompileTime = EIGEN_ENUM_MIN(ColsAtCompileTime,RowsAtCompileTime)
};
-
+
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixQType;
@@ -106,13 +106,13 @@ template<typename MatrixType> class FullPivotingHouseholderQR
}
FullPivotingHouseholderQR& compute(const MatrixType& matrix);
-
+
const IntRowVectorType& colsPermutation() const
{
ei_assert(m_isInitialized && "FullPivotingHouseholderQR is not initialized.");
return m_cols_permutation;
}
-
+
const IntColVectorType& rowsTranspositions() const
{
ei_assert(m_isInitialized && "FullPivotingHouseholderQR is not initialized.");
@@ -147,7 +147,7 @@ template<typename MatrixType> class FullPivotingHouseholderQR
* \sa absDeterminant(), MatrixBase::determinant()
*/
typename MatrixType::RealScalar logAbsDeterminant() const;
-
+
/** \returns the rank of the matrix of which *this is the QR decomposition.
*
* \note This is computed at the time of the construction of the QR decomposition. This
@@ -271,7 +271,7 @@ FullPivotingHouseholderQR<MatrixType>& FullPivotingHouseholderQR<MatrixType>::co
int cols = matrix.cols();
int size = std::min(rows,cols);
m_rank = size;
-
+
m_qr = matrix;
m_hCoeffs.resize(size);
@@ -283,9 +283,9 @@ FullPivotingHouseholderQR<MatrixType>& FullPivotingHouseholderQR<MatrixType>::co
IntRowVectorType cols_transpositions(matrix.cols());
m_cols_permutation.resize(matrix.cols());
int number_of_transpositions = 0;
-
+
RealScalar biggest(0);
-
+
for (int k = 0; k < size; ++k)
{
int row_of_biggest_in_corner, col_of_biggest_in_corner;
@@ -297,7 +297,7 @@ FullPivotingHouseholderQR<MatrixType>& FullPivotingHouseholderQR<MatrixType>::co
row_of_biggest_in_corner += k;
col_of_biggest_in_corner += k;
if(k==0) biggest = biggest_in_corner;
-
+
// if the corner is negligible, then we have less than full rank, and we can finish early
if(ei_isMuchSmallerThan(biggest_in_corner, biggest, m_precision))
{
@@ -336,7 +336,7 @@ FullPivotingHouseholderQR<MatrixType>& FullPivotingHouseholderQR<MatrixType>::co
m_det_pq = (number_of_transpositions%2) ? -1 : 1;
m_isInitialized = true;
-
+
return *this;
}
@@ -358,13 +358,13 @@ bool FullPivotingHouseholderQR<MatrixType>::solve(
}
else return false;
}
-
+
const int rows = m_qr.rows();
const int cols = b.cols();
ei_assert(b.rows() == rows);
-
+
typename OtherDerived::PlainMatrixType c(b);
-
+
Matrix<Scalar,1,MatrixType::ColsAtCompileTime> temp(cols);
for (int k = 0; k < m_rank; ++k)
{
diff --git a/Eigen/src/QR/HouseholderQR.h b/Eigen/src/QR/HouseholderQR.h
index a89305869..39edda80c 100644
--- a/Eigen/src/QR/HouseholderQR.h
+++ b/Eigen/src/QR/HouseholderQR.h
@@ -56,12 +56,13 @@ template<typename MatrixType> class HouseholderQR
Options = MatrixType::Options,
DiagSizeAtCompileTime = EIGEN_ENUM_MIN(ColsAtCompileTime,RowsAtCompileTime)
};
-
+
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixQType;
typedef Matrix<Scalar, DiagSizeAtCompileTime, 1> HCoeffsType;
typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
+ typedef typename HouseholderSequence<MatrixQType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
/**
* \brief Default Constructor.
@@ -97,7 +98,12 @@ template<typename MatrixType> class HouseholderQR
template<typename OtherDerived, typename ResultType>
void solve(const MatrixBase<OtherDerived>& b, ResultType *result) const;
- MatrixQType matrixQ(void) const;
+ MatrixQType matrixQ() const;
+
+ HouseholderSequenceType matrixQAsHouseholderSequence() const
+ {
+ return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate());
+ }
/** \returns a reference to the matrix where the Householder QR decomposition is stored
* in a LAPACK-compatible way.
@@ -169,7 +175,7 @@ HouseholderQR<MatrixType>& HouseholderQR<MatrixType>::compute(const MatrixType&
int rows = matrix.rows();
int cols = matrix.cols();
int size = std::min(rows,cols);
-
+
m_qr = matrix;
m_hCoeffs.resize(size);
@@ -206,15 +212,7 @@ void HouseholderQR<MatrixType>::solve(
result->resize(rows, cols);
*result = b;
-
- Matrix<Scalar,1,MatrixType::ColsAtCompileTime> temp(cols);
- for (int k = 0; k < cols; ++k)
- {
- int remainingSize = rows-k;
-
- result->corner(BottomRight, remainingSize, cols)
- .applyHouseholderOnTheLeft(m_qr.col(k).end(remainingSize-1), m_hCoeffs.coeff(k), &temp.coeffRef(0));
- }
+ result->applyOnTheLeft(matrixQAsHouseholderSequence().inverse());
const int rank = std::min(result->rows(), result->cols());
m_qr.corner(TopLeft, rank, rank)
@@ -227,20 +225,7 @@ template<typename MatrixType>
typename HouseholderQR<MatrixType>::MatrixQType HouseholderQR<MatrixType>::matrixQ() const
{
ei_assert(m_isInitialized && "HouseholderQR is not initialized.");
- // compute the product H'_0 H'_1 ... H'_n-1,
- // where H_k is the k-th Householder transformation I - h_k v_k v_k'
- // and v_k is the k-th Householder vector [1,m_qr(k+1,k), m_qr(k+2,k), ...]
- int rows = m_qr.rows();
- int cols = m_qr.cols();
- int size = std::min(rows,cols);
- MatrixQType res = MatrixQType::Identity(rows, rows);
- Matrix<Scalar,1,MatrixType::RowsAtCompileTime> temp(rows);
- for (int k = size-1; k >= 0; k--)
- {
- res.block(k, k, rows-k, rows-k)
- .applyHouseholderOnTheLeft(m_qr.col(k).end(rows-k-1), ei_conj(m_hCoeffs.coeff(k)), &temp.coeffRef(k));
- }
- return res;
+ return matrixQAsHouseholderSequence();
}
#endif // EIGEN_HIDE_HEAVY_CODE
diff --git a/Eigen/src/SVD/JacobiSVD.h b/Eigen/src/SVD/JacobiSVD.h
index 2801ee077..4b69e67c4 100644
--- a/Eigen/src/SVD/JacobiSVD.h
+++ b/Eigen/src/SVD/JacobiSVD.h
@@ -25,6 +25,22 @@
#ifndef EIGEN_JACOBISVD_H
#define EIGEN_JACOBISVD_H
+// forward declarations (needed by ICC)
+template<typename MatrixType, unsigned int Options, bool IsComplex = NumTraits<typename MatrixType::Scalar>::IsComplex>
+struct ei_svd_precondition_2x2_block_to_be_real;
+
+template<typename MatrixType, unsigned int Options,
+ bool PossiblyMoreRowsThanCols = (Options & AtLeastAsManyColsAsRows) == 0
+ && (MatrixType::RowsAtCompileTime==Dynamic
+ || (MatrixType::RowsAtCompileTime>MatrixType::ColsAtCompileTime))>
+struct ei_svd_precondition_if_more_rows_than_cols;
+
+template<typename MatrixType, unsigned int Options,
+ bool PossiblyMoreColsThanRows = (Options & AtLeastAsManyRowsAsCols) == 0
+ && (MatrixType::ColsAtCompileTime==Dynamic
+ || (MatrixType::ColsAtCompileTime>MatrixType::RowsAtCompileTime))>
+struct ei_svd_precondition_if_more_cols_than_rows;
+
/** \ingroup SVD_Module
* \nonstableyet
*
@@ -118,8 +134,8 @@ template<typename MatrixType, unsigned int Options> class JacobiSVD
friend struct ei_svd_precondition_if_more_cols_than_rows;
};
-template<typename MatrixType, unsigned int Options, bool IsComplex = NumTraits<typename MatrixType::Scalar>::IsComplex>
-struct ei_svd_precondition_2x2_block_to_be_real
+template<typename MatrixType, unsigned int Options>
+struct ei_svd_precondition_2x2_block_to_be_real<MatrixType, Options, false>
{
typedef JacobiSVD<MatrixType, Options> SVD;
static void run(typename SVD::WorkMatrixType&, JacobiSVD<MatrixType, Options>&, int, int) {}
@@ -195,10 +211,7 @@ void ei_real_2x2_jacobi_svd(const MatrixType& matrix, int p, int q,
*j_left = rot1 * j_right->transpose();
}
-template<typename MatrixType, unsigned int Options,
- bool PossiblyMoreRowsThanCols = (Options & AtLeastAsManyColsAsRows) == 0
- && (MatrixType::RowsAtCompileTime==Dynamic
- || MatrixType::RowsAtCompileTime>MatrixType::ColsAtCompileTime)>
+template<typename MatrixType, unsigned int Options, bool PossiblyMoreRowsThanCols>
struct ei_svd_precondition_if_more_rows_than_cols
{
typedef JacobiSVD<MatrixType, Options> SVD;
@@ -231,10 +244,7 @@ struct ei_svd_precondition_if_more_rows_than_cols<MatrixType, Options, true>
}
};
-template<typename MatrixType, unsigned int Options,
- bool PossiblyMoreColsThanRows = (Options & AtLeastAsManyRowsAsCols) == 0
- && (MatrixType::ColsAtCompileTime==Dynamic
- || MatrixType::ColsAtCompileTime>MatrixType::RowsAtCompileTime)>
+template<typename MatrixType, unsigned int Options, bool PossiblyMoreColsThanRows>
struct ei_svd_precondition_if_more_cols_than_rows
{
typedef JacobiSVD<MatrixType, Options> SVD;
@@ -256,7 +266,7 @@ struct ei_svd_precondition_if_more_cols_than_rows<MatrixType, Options, true>
MaxColsAtCompileTime = SVD::MaxColsAtCompileTime,
MatrixOptions = SVD::MatrixOptions
};
-
+
static bool run(const MatrixType& matrix, typename SVD::WorkMatrixType& work_matrix, SVD& svd)
{
int rows = matrix.rows();
diff --git a/Eigen/src/Sparse/CholmodSupport.h b/Eigen/src/Sparse/CholmodSupport.h
index ad59c89af..30a33c3dc 100644
--- a/Eigen/src/Sparse/CholmodSupport.h
+++ b/Eigen/src/Sparse/CholmodSupport.h
@@ -99,7 +99,7 @@ cholmod_dense ei_cholmod_map_eigen_to_dense(MatrixBase<Derived>& mat)
res.nrow = mat.rows();
res.ncol = mat.cols();
res.nzmax = res.nrow * res.ncol;
- res.d = mat.derived().stride();
+ res.d = Derived::IsVectorAtCompileTime ? mat.derived().size() : mat.derived().stride();
res.x = mat.derived().data();
res.z = 0;
@@ -157,7 +157,7 @@ class SparseLLT<MatrixType,Cholmod> : public SparseLLT<MatrixType>
inline const typename Base::CholMatrixType& matrixL(void) const;
template<typename Derived>
- void solveInPlace(MatrixBase<Derived> &b) const;
+ bool solveInPlace(MatrixBase<Derived> &b) const;
void compute(const MatrixType& matrix);
@@ -216,7 +216,7 @@ SparseLLT<MatrixType,Cholmod>::matrixL() const
template<typename MatrixType>
template<typename Derived>
-void SparseLLT<MatrixType,Cholmod>::solveInPlace(MatrixBase<Derived> &b) const
+bool SparseLLT<MatrixType,Cholmod>::solveInPlace(MatrixBase<Derived> &b) const
{
const int size = m_cholmodFactor->n;
ei_assert(size==b.rows());
@@ -228,9 +228,16 @@ void SparseLLT<MatrixType,Cholmod>::solveInPlace(MatrixBase<Derived> &b) const
// as long as our own triangular sparse solver is not fully optimal,
// let's use CHOLMOD's one:
cholmod_dense cdb = ei_cholmod_map_eigen_to_dense(b);
- cholmod_dense* x = cholmod_solve(CHOLMOD_LDLt, m_cholmodFactor, &cdb, &m_cholmod);
+ //cholmod_dense* x = cholmod_solve(CHOLMOD_LDLt, m_cholmodFactor, &cdb, &m_cholmod);
+ cholmod_dense* x = cholmod_solve(CHOLMOD_A, m_cholmodFactor, &cdb, &m_cholmod);
+ if(!x)
+ {
+ std::cerr << "Eigen: cholmod_solve failed\n";
+ return false;
+ }
b = Matrix<typename Base::Scalar,Dynamic,1>::Map(reinterpret_cast<typename Base::Scalar*>(x->x),b.rows());
cholmod_free_dense(&x, &m_cholmod);
+ return true;
}
#endif // EIGEN_CHOLMODSUPPORT_H
diff --git a/Eigen/src/Sparse/SuperLUSupport.h b/Eigen/src/Sparse/SuperLUSupport.h
index 98d598809..708f177e8 100644
--- a/Eigen/src/Sparse/SuperLUSupport.h
+++ b/Eigen/src/Sparse/SuperLUSupport.h
@@ -161,7 +161,7 @@ struct SluMatrix : SuperMatrix
res.nrow = mat.rows();
res.ncol = mat.cols();
- res.storage.lda = mat.stride();
+ res.storage.lda = MatrixType::IsVectorAtCompileTime ? mat.size() : mat.stride();
res.storage.values = mat.data();
return res;
}