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