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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>
+//
+// 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_BLOCK_H
+#define EIGEN_SPARSE_BLOCK_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename MatrixType, int Size>
+struct traits<SparseInnerVectorSet<MatrixType, Size> >
+{
+ typedef typename traits<MatrixType>::Scalar Scalar;
+ typedef typename traits<MatrixType>::Index Index;
+ typedef typename traits<MatrixType>::StorageKind StorageKind;
+ typedef MatrixXpr XprKind;
+ enum {
+ IsRowMajor = (int(MatrixType::Flags)&RowMajorBit)==RowMajorBit,
+ Flags = MatrixType::Flags,
+ RowsAtCompileTime = IsRowMajor ? Size : MatrixType::RowsAtCompileTime,
+ ColsAtCompileTime = IsRowMajor ? MatrixType::ColsAtCompileTime : Size,
+ MaxRowsAtCompileTime = RowsAtCompileTime,
+ MaxColsAtCompileTime = ColsAtCompileTime,
+ CoeffReadCost = MatrixType::CoeffReadCost
+ };
+};
+} // end namespace internal
+
+template<typename MatrixType, int Size>
+class SparseInnerVectorSet : internal::no_assignment_operator,
+ public SparseMatrixBase<SparseInnerVectorSet<MatrixType, Size> >
+{
+ public:
+
+ enum { IsRowMajor = internal::traits<SparseInnerVectorSet>::IsRowMajor };
+
+ EIGEN_SPARSE_PUBLIC_INTERFACE(SparseInnerVectorSet)
+ class InnerIterator: public MatrixType::InnerIterator
+ {
+ public:
+ inline InnerIterator(const SparseInnerVectorSet& xpr, Index outer)
+ : MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
+ {}
+ inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
+ inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
+ protected:
+ Index m_outer;
+ };
+ class ReverseInnerIterator: public MatrixType::ReverseInnerIterator
+ {
+ public:
+ inline ReverseInnerIterator(const SparseInnerVectorSet& xpr, Index outer)
+ : MatrixType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
+ {}
+ inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
+ inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
+ protected:
+ Index m_outer;
+ };
+
+ inline SparseInnerVectorSet(const MatrixType& matrix, Index outerStart, Index outerSize)
+ : m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)
+ {
+ eigen_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );
+ }
+
+ inline SparseInnerVectorSet(const MatrixType& matrix, Index outer)
+ : m_matrix(matrix), m_outerStart(outer), m_outerSize(Size)
+ {
+ eigen_assert(Size!=Dynamic);
+ eigen_assert( (outer>=0) && (outer<matrix.outerSize()) );
+ }
+
+// template<typename OtherDerived>
+// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
+// {
+// return *this;
+// }
+
+// template<typename Sparse>
+// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
+// {
+// return *this;
+// }
+
+ EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+ EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+ protected:
+
+ const typename MatrixType::Nested m_matrix;
+ Index m_outerStart;
+ const internal::variable_if_dynamic<Index, Size> m_outerSize;
+};
+
+
+/***************************************************************************
+* specialisation for SparseMatrix
+***************************************************************************/
+
+template<typename _Scalar, int _Options, typename _Index, int Size>
+class SparseInnerVectorSet<SparseMatrix<_Scalar, _Options, _Index>, Size>
+ : public SparseMatrixBase<SparseInnerVectorSet<SparseMatrix<_Scalar, _Options, _Index>, Size> >
+{
+ typedef SparseMatrix<_Scalar, _Options, _Index> MatrixType;
+ public:
+
+ enum { IsRowMajor = internal::traits<SparseInnerVectorSet>::IsRowMajor };
+
+ EIGEN_SPARSE_PUBLIC_INTERFACE(SparseInnerVectorSet)
+ class InnerIterator: public MatrixType::InnerIterator
+ {
+ public:
+ inline InnerIterator(const SparseInnerVectorSet& xpr, Index outer)
+ : MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
+ {}
+ inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
+ inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
+ protected:
+ Index m_outer;
+ };
+ class ReverseInnerIterator: public MatrixType::ReverseInnerIterator
+ {
+ public:
+ inline ReverseInnerIterator(const SparseInnerVectorSet& xpr, Index outer)
+ : MatrixType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
+ {}
+ inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
+ inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
+ protected:
+ Index m_outer;
+ };
+
+ inline SparseInnerVectorSet(const MatrixType& matrix, Index outerStart, Index outerSize)
+ : m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)
+ {
+ eigen_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );
+ }
+
+ inline SparseInnerVectorSet(const MatrixType& matrix, Index outer)
+ : m_matrix(matrix), m_outerStart(outer), m_outerSize(Size)
+ {
+ eigen_assert(Size==1);
+ eigen_assert( (outer>=0) && (outer<matrix.outerSize()) );
+ }
+
+ template<typename OtherDerived>
+ inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
+ {
+ typedef typename internal::remove_all<typename MatrixType::Nested>::type _NestedMatrixType;
+ _NestedMatrixType& matrix = const_cast<_NestedMatrixType&>(m_matrix);;
+ // This assignement is slow if this vector set is not empty
+ // and/or it is not at the end of the nonzeros of the underlying matrix.
+
+ // 1 - eval to a temporary to avoid transposition and/or aliasing issues
+ SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, Index> tmp(other);
+
+ // 2 - let's check whether there is enough allocated memory
+ Index nnz = tmp.nonZeros();
+ Index nnz_previous = nonZeros();
+ Index free_size = Index(matrix.data().allocatedSize()) + nnz_previous;
+ Index nnz_head = m_outerStart==0 ? 0 : matrix.outerIndexPtr()[m_outerStart];
+ Index tail = m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()];
+ Index nnz_tail = matrix.nonZeros() - tail;
+
+ if(nnz>free_size)
+ {
+ // realloc manually to reduce copies
+ typename MatrixType::Storage newdata(m_matrix.nonZeros() - nnz_previous + nnz);
+
+ std::memcpy(&newdata.value(0), &m_matrix.data().value(0), nnz_head*sizeof(Scalar));
+ std::memcpy(&newdata.index(0), &m_matrix.data().index(0), nnz_head*sizeof(Index));
+
+ std::memcpy(&newdata.value(nnz_head), &tmp.data().value(0), nnz*sizeof(Scalar));
+ std::memcpy(&newdata.index(nnz_head), &tmp.data().index(0), nnz*sizeof(Index));
+
+ std::memcpy(&newdata.value(nnz_head+nnz), &matrix.data().value(tail), nnz_tail*sizeof(Scalar));
+ std::memcpy(&newdata.index(nnz_head+nnz), &matrix.data().index(tail), nnz_tail*sizeof(Index));
+
+ matrix.data().swap(newdata);
+ }
+ else
+ {
+ // no need to realloc, simply copy the tail at its respective position and insert tmp
+ matrix.data().resize(nnz_head + nnz + nnz_tail);
+
+ if(nnz<nnz_previous)
+ {
+ std::memcpy(&matrix.data().value(nnz_head+nnz), &matrix.data().value(tail), nnz_tail*sizeof(Scalar));
+ std::memcpy(&matrix.data().index(nnz_head+nnz), &matrix.data().index(tail), nnz_tail*sizeof(Index));
+ }
+ else
+ {
+ for(Index i=nnz_tail-1; i>=0; --i)
+ {
+ matrix.data().value(nnz_head+nnz+i) = matrix.data().value(tail+i);
+ matrix.data().index(nnz_head+nnz+i) = matrix.data().index(tail+i);
+ }
+ }
+
+ std::memcpy(&matrix.data().value(nnz_head), &tmp.data().value(0), nnz*sizeof(Scalar));
+ std::memcpy(&matrix.data().index(nnz_head), &tmp.data().index(0), nnz*sizeof(Index));
+ }
+
+ // update outer index pointers
+ Index p = nnz_head;
+ for(Index k=0; k<m_outerSize.value(); ++k)
+ {
+ matrix.outerIndexPtr()[m_outerStart+k] = p;
+ p += tmp.innerVector(k).nonZeros();
+ }
+ std::ptrdiff_t offset = nnz - nnz_previous;
+ for(Index k = m_outerStart + m_outerSize.value(); k<=matrix.outerSize(); ++k)
+ {
+ matrix.outerIndexPtr()[k] += offset;
+ }
+
+ return *this;
+ }
+
+ inline SparseInnerVectorSet& operator=(const SparseInnerVectorSet& other)
+ {
+ return operator=<SparseInnerVectorSet>(other);
+ }
+
+ inline const Scalar* valuePtr() const
+ { return m_matrix.valuePtr() + m_matrix.outerIndexPtr()[m_outerStart]; }
+ inline Scalar* valuePtr()
+ { return m_matrix.const_cast_derived().valuePtr() + m_matrix.outerIndexPtr()[m_outerStart]; }
+
+ inline const Index* innerIndexPtr() const
+ { return m_matrix.innerIndexPtr() + m_matrix.outerIndexPtr()[m_outerStart]; }
+ inline Index* innerIndexPtr()
+ { return m_matrix.const_cast_derived().innerIndexPtr() + m_matrix.outerIndexPtr()[m_outerStart]; }
+
+ inline const Index* outerIndexPtr() const
+ { return m_matrix.outerIndexPtr() + m_outerStart; }
+ inline Index* outerIndexPtr()
+ { return m_matrix.const_cast_derived().outerIndexPtr() + m_outerStart; }
+
+ Index nonZeros() const
+ {
+ if(m_matrix.isCompressed())
+ return std::size_t(m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()])
+ - std::size_t(m_matrix.outerIndexPtr()[m_outerStart]);
+ else if(m_outerSize.value()==0)
+ return 0;
+ else
+ return Map<const Matrix<Index,Size,1> >(m_matrix.innerNonZeroPtr()+m_outerStart, m_outerSize.value()).sum();
+ }
+
+ const Scalar& lastCoeff() const
+ {
+ EIGEN_STATIC_ASSERT_VECTOR_ONLY(SparseInnerVectorSet);
+ eigen_assert(nonZeros()>0);
+ if(m_matrix.isCompressed())
+ return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart+1]-1];
+ else
+ return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart]+m_matrix.innerNonZeroPtr()[m_outerStart]-1];
+ }
+
+// template<typename Sparse>
+// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
+// {
+// return *this;
+// }
+
+ EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+ EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+ protected:
+
+ typename MatrixType::Nested m_matrix;
+ Index m_outerStart;
+ const internal::variable_if_dynamic<Index, Size> m_outerSize;
+
+};
+
+//----------
+
+/** \returns the i-th row of the matrix \c *this. For row-major matrix only. */
+template<typename Derived>
+SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::row(Index i)
+{
+ EIGEN_STATIC_ASSERT(IsRowMajor,THIS_METHOD_IS_ONLY_FOR_ROW_MAJOR_MATRICES);
+ return innerVector(i);
+}
+
+/** \returns the i-th row of the matrix \c *this. For row-major matrix only.
+ * (read-only version) */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::row(Index i) const
+{
+ EIGEN_STATIC_ASSERT(IsRowMajor,THIS_METHOD_IS_ONLY_FOR_ROW_MAJOR_MATRICES);
+ return innerVector(i);
+}
+
+/** \returns the i-th column of the matrix \c *this. For column-major matrix only. */
+template<typename Derived>
+SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::col(Index i)
+{
+ EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+ return innerVector(i);
+}
+
+/** \returns the i-th column of the matrix \c *this. For column-major matrix only.
+ * (read-only version) */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::col(Index i) const
+{
+ EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+ return innerVector(i);
+}
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+ * is col-major (resp. row-major).
+ */
+template<typename Derived>
+SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::innerVector(Index outer)
+{ return SparseInnerVectorSet<Derived,1>(derived(), outer); }
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+ * is col-major (resp. row-major). Read-only.
+ */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::innerVector(Index outer) const
+{ return SparseInnerVectorSet<Derived,1>(derived(), outer); }
+
+/** \returns the i-th row of the matrix \c *this. For row-major matrix only. */
+template<typename Derived>
+SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::middleRows(Index start, Index size)
+{
+ EIGEN_STATIC_ASSERT(IsRowMajor,THIS_METHOD_IS_ONLY_FOR_ROW_MAJOR_MATRICES);
+ return innerVectors(start, size);
+}
+
+/** \returns the i-th row of the matrix \c *this. For row-major matrix only.
+ * (read-only version) */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::middleRows(Index start, Index size) const
+{
+ EIGEN_STATIC_ASSERT(IsRowMajor,THIS_METHOD_IS_ONLY_FOR_ROW_MAJOR_MATRICES);
+ return innerVectors(start, size);
+}
+
+/** \returns the i-th column of the matrix \c *this. For column-major matrix only. */
+template<typename Derived>
+SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::middleCols(Index start, Index size)
+{
+ EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+ return innerVectors(start, size);
+}
+
+/** \returns the i-th column of the matrix \c *this. For column-major matrix only.
+ * (read-only version) */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::middleCols(Index start, Index size) const
+{
+ EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+ return innerVectors(start, size);
+}
+
+
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+ * is col-major (resp. row-major).
+ */
+template<typename Derived>
+SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize)
+{ return SparseInnerVectorSet<Derived,Dynamic>(derived(), outerStart, outerSize); }
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+ * is col-major (resp. row-major). Read-only.
+ */
+template<typename Derived>
+const SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize) const
+{ return SparseInnerVectorSet<Derived,Dynamic>(derived(), outerStart, outerSize); }
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_BLOCK_H