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130 lines
4.7 KiB
C++
130 lines
4.7 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) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
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#define EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
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namespace Eigen {
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/***************************************************************************
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* specialisation for DynamicSparseMatrix
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***************************************************************************/
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template<typename _Scalar, int _Options, typename _Index, int Size>
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class SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size>
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: public SparseMatrixBase<SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size> >
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{
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typedef DynamicSparseMatrix<_Scalar, _Options, _Index> MatrixType;
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public:
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enum { IsRowMajor = internal::traits<SparseInnerVectorSet>::IsRowMajor };
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EIGEN_SPARSE_PUBLIC_INTERFACE(SparseInnerVectorSet)
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class InnerIterator: public MatrixType::InnerIterator
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{
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public:
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inline InnerIterator(const SparseInnerVectorSet& xpr, Index outer)
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: MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
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{}
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inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
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inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
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protected:
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Index m_outer;
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};
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inline SparseInnerVectorSet(const MatrixType& matrix, Index outerStart, Index outerSize)
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: m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)
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{
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eigen_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );
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}
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inline SparseInnerVectorSet(const MatrixType& matrix, Index outer)
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: m_matrix(matrix), m_outerStart(outer), m_outerSize(Size)
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{
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eigen_assert(Size!=Dynamic);
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eigen_assert( (outer>=0) && (outer<matrix.outerSize()) );
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}
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template<typename OtherDerived>
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inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
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{
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if (IsRowMajor != ((OtherDerived::Flags&RowMajorBit)==RowMajorBit))
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{
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// need to transpose => perform a block evaluation followed by a big swap
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DynamicSparseMatrix<Scalar,IsRowMajor?RowMajorBit:0> aux(other);
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*this = aux.markAsRValue();
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}
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else
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{
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// evaluate/copy vector per vector
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for (Index j=0; j<m_outerSize.value(); ++j)
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{
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SparseVector<Scalar,IsRowMajor ? RowMajorBit : 0> aux(other.innerVector(j));
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m_matrix.const_cast_derived()._data()[m_outerStart+j].swap(aux._data());
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}
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}
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return *this;
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}
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inline SparseInnerVectorSet& operator=(const SparseInnerVectorSet& other)
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{
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return operator=<SparseInnerVectorSet>(other);
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}
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Index nonZeros() const
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{
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Index count = 0;
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for (Index j=0; j<m_outerSize.value(); ++j)
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count += m_matrix._data()[m_outerStart+j].size();
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return count;
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}
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const Scalar& lastCoeff() const
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(SparseInnerVectorSet);
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eigen_assert(m_matrix.data()[m_outerStart].size()>0);
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return m_matrix.data()[m_outerStart].vale(m_matrix.data()[m_outerStart].size()-1);
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}
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// template<typename Sparse>
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// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
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// {
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// return *this;
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// }
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EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
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EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
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protected:
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const typename MatrixType::Nested m_matrix;
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Index m_outerStart;
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const internal::variable_if_dynamic<Index, Size> m_outerSize;
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};
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} // end namespace Eigen
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#endif // EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
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