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authorGravatar Gael Guennebaud <g.gael@free.fr>2011-11-12 14:11:27 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2011-11-12 14:11:27 +0100
commit53fa8517245e0136c83b77526b05ce67de232a56 (patch)
tree99dd17062c742eabfc3626a04c38fd6f72e43bc4 /Eigen/src/SparseCore/SparseCwiseBinaryOp.h
parentdcb66d6b403ed2c4341fdb091f2ef22b73ea8b8a (diff)
move sparse solvers from unsupported/ to main Eigen/ and remove the "not stable yet" warning
Diffstat (limited to 'Eigen/src/SparseCore/SparseCwiseBinaryOp.h')
-rw-r--r--Eigen/src/SparseCore/SparseCwiseBinaryOp.h375
1 files changed, 375 insertions, 0 deletions
diff --git a/Eigen/src/SparseCore/SparseCwiseBinaryOp.h b/Eigen/src/SparseCore/SparseCwiseBinaryOp.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 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_SPARSE_CWISE_BINARY_OP_H
+#define EIGEN_SPARSE_CWISE_BINARY_OP_H
+
+// Here we have to handle 3 cases:
+// 1 - sparse op dense
+// 2 - dense op sparse
+// 3 - sparse op sparse
+// We also need to implement a 4th iterator for:
+// 4 - dense op dense
+// Finally, we also need to distinguish between the product and other operations :
+// configuration returned mode
+// 1 - sparse op dense product sparse
+// generic dense
+// 2 - dense op sparse product sparse
+// generic dense
+// 3 - sparse op sparse product sparse
+// generic sparse
+// 4 - dense op dense product dense
+// generic dense
+
+namespace internal {
+
+template<> struct promote_storage_type<Dense,Sparse>
+{ typedef Sparse ret; };
+
+template<> struct promote_storage_type<Sparse,Dense>
+{ typedef Sparse ret; };
+
+template<typename BinaryOp, typename Lhs, typename Rhs, typename Derived,
+ typename _LhsStorageMode = typename traits<Lhs>::StorageKind,
+ typename _RhsStorageMode = typename traits<Rhs>::StorageKind>
+class sparse_cwise_binary_op_inner_iterator_selector;
+
+} // end namespace internal
+
+template<typename BinaryOp, typename Lhs, typename Rhs>
+class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
+ : public SparseMatrixBase<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+ public:
+ class InnerIterator;
+ typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
+ EIGEN_SPARSE_PUBLIC_INTERFACE(Derived)
+};
+
+template<typename BinaryOp, typename Lhs, typename Rhs>
+class CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator
+ : public internal::sparse_cwise_binary_op_inner_iterator_selector<BinaryOp,Lhs,Rhs,typename CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator>
+{
+ public:
+ typedef typename Lhs::Index Index;
+ typedef internal::sparse_cwise_binary_op_inner_iterator_selector<
+ BinaryOp,Lhs,Rhs, InnerIterator> Base;
+
+ EIGEN_STRONG_INLINE InnerIterator(const CwiseBinaryOpImpl& binOp, Index outer)
+ : Base(binOp.derived(),outer)
+ {}
+};
+
+/***************************************************************************
+* Implementation of inner-iterators
+***************************************************************************/
+
+// template<typename T> struct internal::func_is_conjunction { enum { ret = false }; };
+// template<typename T> struct internal::func_is_conjunction<internal::scalar_product_op<T> > { enum { ret = true }; };
+
+// TODO generalize the internal::scalar_product_op specialization to all conjunctions if any !
+
+namespace internal {
+
+// sparse - sparse (generic)
+template<typename BinaryOp, typename Lhs, typename Rhs, typename Derived>
+class sparse_cwise_binary_op_inner_iterator_selector<BinaryOp, Lhs, Rhs, Derived, Sparse, Sparse>
+{
+ typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> CwiseBinaryXpr;
+ typedef typename traits<CwiseBinaryXpr>::Scalar Scalar;
+ typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
+ typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
+ typedef typename _LhsNested::InnerIterator LhsIterator;
+ typedef typename _RhsNested::InnerIterator RhsIterator;
+ typedef typename Lhs::Index Index;
+
+ public:
+
+ EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
+ : m_lhsIter(xpr.lhs(),outer), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor())
+ {
+ this->operator++();
+ }
+
+ EIGEN_STRONG_INLINE Derived& operator++()
+ {
+ if (m_lhsIter && m_rhsIter && (m_lhsIter.index() == m_rhsIter.index()))
+ {
+ m_id = m_lhsIter.index();
+ m_value = m_functor(m_lhsIter.value(), m_rhsIter.value());
+ ++m_lhsIter;
+ ++m_rhsIter;
+ }
+ else if (m_lhsIter && (!m_rhsIter || (m_lhsIter.index() < m_rhsIter.index())))
+ {
+ m_id = m_lhsIter.index();
+ m_value = m_functor(m_lhsIter.value(), Scalar(0));
+ ++m_lhsIter;
+ }
+ else if (m_rhsIter && (!m_lhsIter || (m_lhsIter.index() > m_rhsIter.index())))
+ {
+ m_id = m_rhsIter.index();
+ m_value = m_functor(Scalar(0), m_rhsIter.value());
+ ++m_rhsIter;
+ }
+ else
+ {
+ m_value = 0; // this is to avoid a compilation warning
+ m_id = -1;
+ }
+ return *static_cast<Derived*>(this);
+ }
+
+ EIGEN_STRONG_INLINE Scalar value() const { return m_value; }
+
+ EIGEN_STRONG_INLINE Index index() const { return m_id; }
+ EIGEN_STRONG_INLINE Index row() const { return Lhs::IsRowMajor ? m_lhsIter.row() : index(); }
+ EIGEN_STRONG_INLINE Index col() const { return Lhs::IsRowMajor ? index() : m_lhsIter.col(); }
+
+ EIGEN_STRONG_INLINE operator bool() const { return m_id>=0; }
+
+ protected:
+ LhsIterator m_lhsIter;
+ RhsIterator m_rhsIter;
+ const BinaryOp& m_functor;
+ Scalar m_value;
+ Index m_id;
+};
+
+// sparse - sparse (product)
+template<typename T, typename Lhs, typename Rhs, typename Derived>
+class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Sparse, Sparse>
+{
+ typedef scalar_product_op<T> BinaryFunc;
+ typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
+ typedef typename CwiseBinaryXpr::Scalar Scalar;
+ typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
+ typedef typename _LhsNested::InnerIterator LhsIterator;
+ typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
+ typedef typename _RhsNested::InnerIterator RhsIterator;
+ typedef typename Lhs::Index Index;
+ public:
+
+ EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
+ : m_lhsIter(xpr.lhs(),outer), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor())
+ {
+ while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
+ {
+ if (m_lhsIter.index() < m_rhsIter.index())
+ ++m_lhsIter;
+ else
+ ++m_rhsIter;
+ }
+ }
+
+ EIGEN_STRONG_INLINE Derived& operator++()
+ {
+ ++m_lhsIter;
+ ++m_rhsIter;
+ while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
+ {
+ if (m_lhsIter.index() < m_rhsIter.index())
+ ++m_lhsIter;
+ else
+ ++m_rhsIter;
+ }
+ return *static_cast<Derived*>(this);
+ }
+
+ EIGEN_STRONG_INLINE Scalar value() const { return m_functor(m_lhsIter.value(), m_rhsIter.value()); }
+
+ EIGEN_STRONG_INLINE Index index() const { return m_lhsIter.index(); }
+ EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
+ EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
+
+ EIGEN_STRONG_INLINE operator bool() const { return (m_lhsIter && m_rhsIter); }
+
+ protected:
+ LhsIterator m_lhsIter;
+ RhsIterator m_rhsIter;
+ const BinaryFunc& m_functor;
+};
+
+// sparse - dense (product)
+template<typename T, typename Lhs, typename Rhs, typename Derived>
+class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Sparse, Dense>
+{
+ typedef scalar_product_op<T> BinaryFunc;
+ typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
+ typedef typename CwiseBinaryXpr::Scalar Scalar;
+ typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
+ typedef typename traits<CwiseBinaryXpr>::RhsNested RhsNested;
+ typedef typename _LhsNested::InnerIterator LhsIterator;
+ typedef typename Lhs::Index Index;
+ enum { IsRowMajor = (int(Lhs::Flags)&RowMajorBit)==RowMajorBit };
+ public:
+
+ EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
+ : m_rhs(xpr.rhs()), m_lhsIter(xpr.lhs(),outer), m_functor(xpr.functor()), m_outer(outer)
+ {}
+
+ EIGEN_STRONG_INLINE Derived& operator++()
+ {
+ ++m_lhsIter;
+ return *static_cast<Derived*>(this);
+ }
+
+ EIGEN_STRONG_INLINE Scalar value() const
+ { return m_functor(m_lhsIter.value(),
+ m_rhs.coeff(IsRowMajor?m_outer:m_lhsIter.index(),IsRowMajor?m_lhsIter.index():m_outer)); }
+
+ EIGEN_STRONG_INLINE Index index() const { return m_lhsIter.index(); }
+ EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
+ EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
+
+ EIGEN_STRONG_INLINE operator bool() const { return m_lhsIter; }
+
+ protected:
+ const RhsNested m_rhs;
+ LhsIterator m_lhsIter;
+ const BinaryFunc m_functor;
+ const Index m_outer;
+};
+
+// sparse - dense (product)
+template<typename T, typename Lhs, typename Rhs, typename Derived>
+class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Dense, Sparse>
+{
+ typedef scalar_product_op<T> BinaryFunc;
+ typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
+ typedef typename CwiseBinaryXpr::Scalar Scalar;
+ typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
+ typedef typename _RhsNested::InnerIterator RhsIterator;
+ typedef typename Lhs::Index Index;
+
+ enum { IsRowMajor = (int(Rhs::Flags)&RowMajorBit)==RowMajorBit };
+ public:
+
+ EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
+ : m_xpr(xpr), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor()), m_outer(outer)
+ {}
+
+ EIGEN_STRONG_INLINE Derived& operator++()
+ {
+ ++m_rhsIter;
+ return *static_cast<Derived*>(this);
+ }
+
+ EIGEN_STRONG_INLINE Scalar value() const
+ { return m_functor(m_xpr.lhs().coeff(IsRowMajor?m_outer:m_rhsIter.index(),IsRowMajor?m_rhsIter.index():m_outer), m_rhsIter.value()); }
+
+ EIGEN_STRONG_INLINE Index index() const { return m_rhsIter.index(); }
+ EIGEN_STRONG_INLINE Index row() const { return m_rhsIter.row(); }
+ EIGEN_STRONG_INLINE Index col() const { return m_rhsIter.col(); }
+
+ EIGEN_STRONG_INLINE operator bool() const { return m_rhsIter; }
+
+ protected:
+ const CwiseBinaryXpr& m_xpr;
+ RhsIterator m_rhsIter;
+ const BinaryFunc& m_functor;
+ const Index m_outer;
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* Implementation of SparseMatrixBase and SparseCwise functions/operators
+***************************************************************************/
+
+// template<typename Derived>
+// template<typename OtherDerived>
+// EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_difference_op<typename internal::traits<Derived>::Scalar>,
+// Derived, OtherDerived>
+// SparseMatrixBase<Derived>::operator-(const SparseMatrixBase<OtherDerived> &other) const
+// {
+// return CwiseBinaryOp<internal::scalar_difference_op<Scalar>,
+// Derived, OtherDerived>(derived(), other.derived());
+// }
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+SparseMatrixBase<Derived>::operator-=(const SparseMatrixBase<OtherDerived> &other)
+{
+ return *this = derived() - other.derived();
+}
+
+// template<typename Derived>
+// template<typename OtherDerived>
+// EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_sum_op<typename internal::traits<Derived>::Scalar>, Derived, OtherDerived>
+// SparseMatrixBase<Derived>::operator+(const SparseMatrixBase<OtherDerived> &other) const
+// {
+// return CwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
+// }
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+SparseMatrixBase<Derived>::operator+=(const SparseMatrixBase<OtherDerived>& other)
+{
+ return *this = derived() + other.derived();
+}
+
+// template<typename ExpressionType>
+// template<typename OtherDerived>
+// EIGEN_STRONG_INLINE const EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE
+// SparseCwise<ExpressionType>::operator*(const SparseMatrixBase<OtherDerived> &other) const
+// {
+// return EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE(_expression(), other.derived());
+// }
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE
+SparseMatrixBase<Derived>::cwiseProduct(const MatrixBase<OtherDerived> &other) const
+{
+ return EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE(derived(), other.derived());
+}
+
+// template<typename ExpressionType>
+// template<typename OtherDerived>
+// EIGEN_STRONG_INLINE const EIGEN_SPARSE_CWISE_BINOP_RETURN_TYPE(internal::scalar_quotient_op)
+// SparseCwise<ExpressionType>::operator/(const SparseMatrixBase<OtherDerived> &other) const
+// {
+// return EIGEN_SPARSE_CWISE_BINOP_RETURN_TYPE(internal::scalar_quotient_op)(_expression(), other.derived());
+// }
+//
+// template<typename ExpressionType>
+// template<typename OtherDerived>
+// EIGEN_STRONG_INLINE const EIGEN_SPARSE_CWISE_BINOP_RETURN_TYPE(internal::scalar_quotient_op)
+// SparseCwise<ExpressionType>::operator/(const MatrixBase<OtherDerived> &other) const
+// {
+// return EIGEN_SPARSE_CWISE_BINOP_RETURN_TYPE(internal::scalar_quotient_op)(_expression(), other.derived());
+// }
+
+// template<typename ExpressionType>
+// template<typename OtherDerived>
+// inline ExpressionType& SparseCwise<ExpressionType>::operator*=(const SparseMatrixBase<OtherDerived> &other)
+// {
+// return m_matrix.const_cast_derived() = _expression() * other.derived();
+// }
+
+
+#endif // EIGEN_SPARSE_CWISE_BINARY_OP_H