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178 lines
6.0 KiB
C++
178 lines
6.0 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_SPARSE_TRIANGULARVIEW_H
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#define EIGEN_SPARSE_TRIANGULARVIEW_H
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// IWYU pragma: private
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#include "./InternalHeaderCheck.h"
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namespace Eigen {
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/** \ingroup SparseCore_Module
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*
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* \brief Base class for a triangular part in a \b sparse matrix
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*
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* This class is an abstract base class of class TriangularView, and objects of type TriangularViewImpl cannot be
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* instantiated. It extends class TriangularView with additional methods which are available for sparse expressions
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* only.
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*
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* \sa class TriangularView, SparseMatrixBase::triangularView()
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*/
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template <typename MatrixType, unsigned int Mode>
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class TriangularViewImpl<MatrixType, Mode, Sparse> : public SparseMatrixBase<TriangularView<MatrixType, Mode> > {
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enum {
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SkipFirst =
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((Mode & Lower) && !(MatrixType::Flags & RowMajorBit)) || ((Mode & Upper) && (MatrixType::Flags & RowMajorBit)),
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SkipLast = !SkipFirst,
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SkipDiag = (Mode & ZeroDiag) ? 1 : 0,
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HasUnitDiag = (Mode & UnitDiag) ? 1 : 0
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};
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typedef TriangularView<MatrixType, Mode> TriangularViewType;
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protected:
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// dummy solve function to make TriangularView happy.
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void solve() const;
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typedef SparseMatrixBase<TriangularViewType> Base;
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public:
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EIGEN_SPARSE_PUBLIC_INTERFACE(TriangularViewType)
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typedef typename MatrixType::Nested MatrixTypeNested;
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typedef std::remove_reference_t<MatrixTypeNested> MatrixTypeNestedNonRef;
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typedef internal::remove_all_t<MatrixTypeNested> MatrixTypeNestedCleaned;
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template <typename RhsType, typename DstType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void _solve_impl(const RhsType& rhs, DstType& dst) const {
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if (!(internal::is_same<RhsType, DstType>::value && internal::extract_data(dst) == internal::extract_data(rhs)))
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dst = rhs;
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this->solveInPlace(dst);
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}
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/** Applies the inverse of \c *this to the dense vector or matrix \a other, "in-place" */
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template <typename OtherDerived>
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void solveInPlace(MatrixBase<OtherDerived>& other) const;
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/** Applies the inverse of \c *this to the sparse vector or matrix \a other, "in-place" */
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template <typename OtherDerived>
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void solveInPlace(SparseMatrixBase<OtherDerived>& other) const;
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};
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namespace internal {
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template <typename ArgType, unsigned int Mode>
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struct unary_evaluator<TriangularView<ArgType, Mode>, IteratorBased> : evaluator_base<TriangularView<ArgType, Mode> > {
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typedef TriangularView<ArgType, Mode> XprType;
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protected:
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typedef typename XprType::Scalar Scalar;
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typedef typename XprType::StorageIndex StorageIndex;
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typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
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enum {
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SkipFirst =
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((Mode & Lower) && !(ArgType::Flags & RowMajorBit)) || ((Mode & Upper) && (ArgType::Flags & RowMajorBit)),
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SkipLast = !SkipFirst,
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SkipDiag = (Mode & ZeroDiag) ? 1 : 0,
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HasUnitDiag = (Mode & UnitDiag) ? 1 : 0
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};
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public:
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enum { CoeffReadCost = evaluator<ArgType>::CoeffReadCost, Flags = XprType::Flags };
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explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_arg(xpr.nestedExpression()) {}
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inline Index nonZerosEstimate() const { return m_argImpl.nonZerosEstimate(); }
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class InnerIterator : public EvalIterator {
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typedef EvalIterator Base;
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public:
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EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& xprEval, Index outer)
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: Base(xprEval.m_argImpl, outer),
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m_returnOne(false),
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m_containsDiag(Base::outer() < xprEval.m_arg.innerSize()) {
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if (SkipFirst) {
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while ((*this) && ((HasUnitDiag || SkipDiag) ? this->index() <= outer : this->index() < outer))
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Base::operator++();
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if (HasUnitDiag) m_returnOne = m_containsDiag;
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} else if (HasUnitDiag && ((!Base::operator bool()) || Base::index() >= Base::outer())) {
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if ((!SkipFirst) && Base::operator bool()) Base::operator++();
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m_returnOne = m_containsDiag;
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}
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}
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EIGEN_STRONG_INLINE InnerIterator& operator++() {
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if (HasUnitDiag && m_returnOne)
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m_returnOne = false;
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else {
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Base::operator++();
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if (HasUnitDiag && (!SkipFirst) && ((!Base::operator bool()) || Base::index() >= Base::outer())) {
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if ((!SkipFirst) && Base::operator bool()) Base::operator++();
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m_returnOne = m_containsDiag;
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}
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}
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return *this;
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}
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EIGEN_STRONG_INLINE operator bool() const {
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if (HasUnitDiag && m_returnOne) return true;
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if (SkipFirst)
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return Base::operator bool();
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else {
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if (SkipDiag)
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return (Base::operator bool() && this->index() < this->outer());
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else
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return (Base::operator bool() && this->index() <= this->outer());
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}
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}
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inline Index row() const { return (ArgType::Flags & RowMajorBit ? Base::outer() : this->index()); }
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inline Index col() const { return (ArgType::Flags & RowMajorBit ? this->index() : Base::outer()); }
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inline StorageIndex index() const {
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if (HasUnitDiag && m_returnOne)
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return internal::convert_index<StorageIndex>(Base::outer());
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else
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return Base::index();
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}
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inline Scalar value() const {
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if (HasUnitDiag && m_returnOne)
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return Scalar(1);
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else
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return Base::value();
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}
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protected:
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bool m_returnOne;
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bool m_containsDiag;
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private:
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Scalar& valueRef();
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};
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protected:
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evaluator<ArgType> m_argImpl;
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const ArgType& m_arg;
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};
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} // end namespace internal
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template <typename Derived>
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template <int Mode>
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inline const TriangularView<const Derived, Mode> SparseMatrixBase<Derived>::triangularView() const {
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return TriangularView<const Derived, Mode>(derived());
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}
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} // end namespace Eigen
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#endif // EIGEN_SPARSE_TRIANGULARVIEW_H
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