- add diagonal * sparse product as an expression

- split sparse_basic unit test
- various fixes in sparse module
This commit is contained in:
Gael Guennebaud
2009-02-09 09:59:30 +00:00
parent e0be020622
commit a9688f0b71
18 changed files with 423 additions and 93 deletions

View File

@@ -91,9 +91,9 @@ class SparseInnerVectorSet : ei_no_assignment_operator,
};
//----------
// specialisation for DynamicSparseMatrix
//----------
/***************************************************************************
* specialisation for DynamicSparseMatrix
***************************************************************************/
template<typename _Scalar, int _Options, int Size>
class SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options>, Size>
@@ -169,6 +169,89 @@ class SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options>, Size>
};
/***************************************************************************
* specialisation for SparseMatrix
***************************************************************************/
/*
template<typename _Scalar, int _Options, int Size>
class SparseInnerVectorSet<SparseMatrix<_Scalar, _Options>, Size>
: public SparseMatrixBase<SparseInnerVectorSet<SparseMatrix<_Scalar, _Options>, Size> >
{
typedef DynamicSparseMatrix<_Scalar, _Options> MatrixType;
enum { IsRowMajor = ei_traits<SparseInnerVectorSet>::IsRowMajor };
public:
EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(SparseInnerVectorSet)
class InnerIterator: public MatrixType::InnerIterator
{
public:
inline InnerIterator(const SparseInnerVectorSet& xpr, int outer)
: MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer)
{}
};
inline SparseInnerVectorSet(const MatrixType& matrix, int outerStart, int outerSize)
: m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)
{
ei_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );
}
inline SparseInnerVectorSet(const MatrixType& matrix, int outer)
: m_matrix(matrix), m_outerStart(outer)
{
ei_assert(Size==1);
ei_assert( (outer>=0) && (outer<matrix.outerSize()) );
}
template<typename OtherDerived>
inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
{
if (IsRowMajor != ((OtherDerived::Flags&RowMajorBit)==RowMajorBit))
{
// need to transpose => perform a block evaluation followed by a big swap
DynamicSparseMatrix<Scalar,IsRowMajor?RowMajorBit:0> aux(other);
*this = aux.markAsRValue();
}
else
{
// evaluate/copy vector per vector
for (int j=0; j<m_outerSize.value(); ++j)
{
SparseVector<Scalar,IsRowMajor ? RowMajorBit : 0> aux(other.innerVector(j));
m_matrix.const_cast_derived()._data()[m_outerStart+j].swap(aux._data());
}
}
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 const int* _innerIndexPtr() const
{ return m_matrix._innerIndexPtr() + m_matrix._outerIndexPtr()[m_outerStart]; }
inline const int* _outerIndexPtr() const { return m_matrix._outerIndexPtr() + m_outerStart; }
// template<typename Sparse>
// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
// {
// return *this;
// }
EIGEN_STRONG_INLINE int rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
EIGEN_STRONG_INLINE int cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
protected:
const typename MatrixType::Nested m_matrix;
int m_outerStart;
const ei_int_if_dynamic<Size> m_outerSize;
};
*/
//----------
/** \returns the i-th row of the matrix \c *this. For row-major matrix only. */
@@ -192,7 +275,7 @@ const SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::row(int i) cons
template<typename Derived>
SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::col(int i)
{
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COL_MAJOR_MATRICES);
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
return innerVector(i);
}
@@ -201,7 +284,7 @@ SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::col(int i)
template<typename Derived>
const SparseInnerVectorSet<Derived,1> SparseMatrixBase<Derived>::col(int i) const
{
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COL_MAJOR_MATRICES);
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
return innerVector(i);
}
@@ -242,7 +325,7 @@ const SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::subrows(i
template<typename Derived>
SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::subcols(int start, int size)
{
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COL_MAJOR_MATRICES);
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
return innerVectors(start, size);
}
@@ -251,7 +334,7 @@ SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::subcols(int sta
template<typename Derived>
const SparseInnerVectorSet<Derived,Dynamic> SparseMatrixBase<Derived>::subcols(int start, int size) const
{
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COL_MAJOR_MATRICES);
EIGEN_STATIC_ASSERT(!IsRowMajor,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
return innerVectors(start, size);
}