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Diffstat (limited to 'extern/Eigen3/Eigen/src/Core/SolveTriangular.h')
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diff --git a/extern/Eigen3/Eigen/src/Core/SolveTriangular.h b/extern/Eigen3/Eigen/src/Core/SolveTriangular.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.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_SOLVETRIANGULAR_H
+#define EIGEN_SOLVETRIANGULAR_H
+
+namespace internal {
+
+// Forward declarations:
+// The following two routines are implemented in the products/TriangularSolver*.h files
+template<typename LhsScalar, typename RhsScalar, typename Index, int Side, int Mode, bool Conjugate, int StorageOrder>
+struct triangular_solve_vector;
+
+template <typename Scalar, typename Index, int Side, int Mode, bool Conjugate, int TriStorageOrder, int OtherStorageOrder>
+struct triangular_solve_matrix;
+
+// small helper struct extracting some traits on the underlying solver operation
+template<typename Lhs, typename Rhs, int Side>
+class trsolve_traits
+{
+ private:
+ enum {
+ RhsIsVectorAtCompileTime = (Side==OnTheLeft ? Rhs::ColsAtCompileTime : Rhs::RowsAtCompileTime)==1
+ };
+ public:
+ enum {
+ Unrolling = (RhsIsVectorAtCompileTime && Rhs::SizeAtCompileTime != Dynamic && Rhs::SizeAtCompileTime <= 8)
+ ? CompleteUnrolling : NoUnrolling,
+ RhsVectors = RhsIsVectorAtCompileTime ? 1 : Dynamic
+ };
+};
+
+template<typename Lhs, typename Rhs,
+ int Side, // can be OnTheLeft/OnTheRight
+ int Mode, // can be Upper/Lower | UnitDiag
+ int Unrolling = trsolve_traits<Lhs,Rhs,Side>::Unrolling,
+ int RhsVectors = trsolve_traits<Lhs,Rhs,Side>::RhsVectors
+ >
+struct triangular_solver_selector;
+
+template<typename Lhs, typename Rhs, int Side, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,Side,Mode,NoUnrolling,1>
+{
+ typedef typename Lhs::Scalar LhsScalar;
+ typedef typename Rhs::Scalar RhsScalar;
+ typedef blas_traits<Lhs> LhsProductTraits;
+ typedef typename LhsProductTraits::ExtractType ActualLhsType;
+ typedef Map<Matrix<RhsScalar,Dynamic,1>, Aligned> MappedRhs;
+ static void run(const Lhs& lhs, Rhs& rhs)
+ {
+ ActualLhsType actualLhs = LhsProductTraits::extract(lhs);
+
+ // FIXME find a way to allow an inner stride if packet_traits<Scalar>::size==1
+
+ bool useRhsDirectly = Rhs::InnerStrideAtCompileTime==1 || rhs.innerStride()==1;
+
+ ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhs,rhs.size(),
+ (useRhsDirectly ? rhs.data() : 0));
+
+ if(!useRhsDirectly)
+ MappedRhs(actualRhs,rhs.size()) = rhs;
+
+ triangular_solve_vector<LhsScalar, RhsScalar, typename Lhs::Index, Side, Mode, LhsProductTraits::NeedToConjugate,
+ (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
+ ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
+
+ if(!useRhsDirectly)
+ rhs = MappedRhs(actualRhs, rhs.size());
+ }
+};
+
+// the rhs is a matrix
+template<typename Lhs, typename Rhs, int Side, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,Side,Mode,NoUnrolling,Dynamic>
+{
+ typedef typename Rhs::Scalar Scalar;
+ typedef typename Rhs::Index Index;
+ typedef blas_traits<Lhs> LhsProductTraits;
+ typedef typename LhsProductTraits::DirectLinearAccessType ActualLhsType;
+ static void run(const Lhs& lhs, Rhs& rhs)
+ {
+ const ActualLhsType actualLhs = LhsProductTraits::extract(lhs);
+ triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
+ (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor>
+ ::run(lhs.rows(), Side==OnTheLeft? rhs.cols() : rhs.rows(), &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.outerStride());
+ }
+};
+
+/***************************************************************************
+* meta-unrolling implementation
+***************************************************************************/
+
+template<typename Lhs, typename Rhs, int Mode, int Index, int Size,
+ bool Stop = Index==Size>
+struct triangular_solver_unroller;
+
+template<typename Lhs, typename Rhs, int Mode, int Index, int Size>
+struct triangular_solver_unroller<Lhs,Rhs,Mode,Index,Size,false> {
+ enum {
+ IsLower = ((Mode&Lower)==Lower),
+ I = IsLower ? Index : Size - Index - 1,
+ S = IsLower ? 0 : I+1
+ };
+ static void run(const Lhs& lhs, Rhs& rhs)
+ {
+ if (Index>0)
+ rhs.coeffRef(I) -= lhs.row(I).template segment<Index>(S).transpose()
+ .cwiseProduct(rhs.template segment<Index>(S)).sum();
+
+ if(!(Mode & UnitDiag))
+ rhs.coeffRef(I) /= lhs.coeff(I,I);
+
+ triangular_solver_unroller<Lhs,Rhs,Mode,Index+1,Size>::run(lhs,rhs);
+ }
+};
+
+template<typename Lhs, typename Rhs, int Mode, int Index, int Size>
+struct triangular_solver_unroller<Lhs,Rhs,Mode,Index,Size,true> {
+ static void run(const Lhs&, Rhs&) {}
+};
+
+template<typename Lhs, typename Rhs, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,OnTheLeft,Mode,CompleteUnrolling,1> {
+ static void run(const Lhs& lhs, Rhs& rhs)
+ { triangular_solver_unroller<Lhs,Rhs,Mode,0,Rhs::SizeAtCompileTime>::run(lhs,rhs); }
+};
+
+template<typename Lhs, typename Rhs, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,OnTheRight,Mode,CompleteUnrolling,1> {
+ static void run(const Lhs& lhs, Rhs& rhs)
+ {
+ Transpose<const Lhs> trLhs(lhs);
+ Transpose<Rhs> trRhs(rhs);
+
+ triangular_solver_unroller<Transpose<const Lhs>,Transpose<Rhs>,
+ ((Mode&Upper)==Upper ? Lower : Upper) | (Mode&UnitDiag),
+ 0,Rhs::SizeAtCompileTime>::run(trLhs,trRhs);
+ }
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* TriangularView methods
+***************************************************************************/
+
+/** "in-place" version of TriangularView::solve() where the result is written in \a other
+ *
+ * \warning The parameter is only marked 'const' to make the C++ compiler accept a temporary expression here.
+ * This function will const_cast it, so constness isn't honored here.
+ *
+ * See TriangularView:solve() for the details.
+ */
+template<typename MatrixType, unsigned int Mode>
+template<int Side, typename OtherDerived>
+void TriangularView<MatrixType,Mode>::solveInPlace(const MatrixBase<OtherDerived>& _other) const
+{
+ OtherDerived& other = _other.const_cast_derived();
+ eigen_assert(cols() == rows());
+ eigen_assert( (Side==OnTheLeft && cols() == other.rows()) || (Side==OnTheRight && cols() == other.cols()) );
+ eigen_assert(!(Mode & ZeroDiag));
+ eigen_assert(Mode & (Upper|Lower));
+
+ enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit && OtherDerived::IsVectorAtCompileTime };
+ typedef typename internal::conditional<copy,
+ typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy;
+ OtherCopy otherCopy(other);
+
+ internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
+ Side, Mode>::run(nestedExpression(), otherCopy);
+
+ if (copy)
+ other = otherCopy;
+}
+
+/** \returns the product of the inverse of \c *this with \a other, \a *this being triangular.
+ *
+ * This function computes the inverse-matrix matrix product inverse(\c *this) * \a other if
+ * \a Side==OnTheLeft (the default), or the right-inverse-multiply \a other * inverse(\c *this) if
+ * \a Side==OnTheRight.
+ *
+ * The matrix \c *this must be triangular and invertible (i.e., all the coefficients of the
+ * diagonal must be non zero). It works as a forward (resp. backward) substitution if \c *this
+ * is an upper (resp. lower) triangular matrix.
+ *
+ * Example: \include MatrixBase_marked.cpp
+ * Output: \verbinclude MatrixBase_marked.out
+ *
+ * This function returns an expression of the inverse-multiply and can works in-place if it is assigned
+ * to the same matrix or vector \a other.
+ *
+ * For users coming from BLAS, this function (and more specifically solveInPlace()) offer
+ * all the operations supported by the \c *TRSV and \c *TRSM BLAS routines.
+ *
+ * \sa TriangularView::solveInPlace()
+ */
+template<typename Derived, unsigned int Mode>
+template<int Side, typename Other>
+const internal::triangular_solve_retval<Side,TriangularView<Derived,Mode>,Other>
+TriangularView<Derived,Mode>::solve(const MatrixBase<Other>& other) const
+{
+ return internal::triangular_solve_retval<Side,TriangularView,Other>(*this, other.derived());
+}
+
+namespace internal {
+
+
+template<int Side, typename TriangularType, typename Rhs>
+struct traits<triangular_solve_retval<Side, TriangularType, Rhs> >
+{
+ typedef typename internal::plain_matrix_type_column_major<Rhs>::type ReturnType;
+};
+
+template<int Side, typename TriangularType, typename Rhs> struct triangular_solve_retval
+ : public ReturnByValue<triangular_solve_retval<Side, TriangularType, Rhs> >
+{
+ typedef typename remove_all<typename Rhs::Nested>::type RhsNestedCleaned;
+ typedef ReturnByValue<triangular_solve_retval> Base;
+ typedef typename Base::Index Index;
+
+ triangular_solve_retval(const TriangularType& tri, const Rhs& rhs)
+ : m_triangularMatrix(tri), m_rhs(rhs)
+ {}
+
+ inline Index rows() const { return m_rhs.rows(); }
+ inline Index cols() const { return m_rhs.cols(); }
+
+ template<typename Dest> inline void evalTo(Dest& dst) const
+ {
+ if(!(is_same<RhsNestedCleaned,Dest>::value && extract_data(dst) == extract_data(m_rhs)))
+ dst = m_rhs;
+ m_triangularMatrix.template solveInPlace<Side>(dst);
+ }
+
+ protected:
+ const TriangularType& m_triangularMatrix;
+ const typename Rhs::Nested m_rhs;
+};
+
+} // namespace internal
+
+#endif // EIGEN_SOLVETRIANGULAR_H