fix dense=sparse*diagonal (there was an issue in the values returned by the .outer() function of the related iterators)

This commit is contained in:
Gael Guennebaud 2012-10-03 09:06:19 +02:00
parent f30ca7ed7e
commit fec6df1f7d
2 changed files with 17 additions and 2 deletions

View File

@ -126,11 +126,15 @@ class sparse_diagonal_product_inner_iterator_selector
SparseInnerVectorSet<Rhs,1>,
typename Lhs::DiagonalVectorType>::InnerIterator Base;
typedef typename Lhs::Index Index;
Index m_outer;
public:
inline sparse_diagonal_product_inner_iterator_selector(
const SparseDiagonalProductType& expr, Index outer)
: Base(expr.rhs().innerVector(outer) .cwiseProduct(expr.lhs().diagonal()), 0)
: Base(expr.rhs().innerVector(outer) .cwiseProduct(expr.lhs().diagonal()), 0), m_outer(outer)
{}
inline Index outer() const { return m_outer; }
inline Index col() const { return m_outer; }
};
template<typename Lhs, typename Rhs, typename SparseDiagonalProductType>
@ -160,11 +164,15 @@ class sparse_diagonal_product_inner_iterator_selector
SparseInnerVectorSet<Lhs,1>,
Transpose<const typename Rhs::DiagonalVectorType> >::InnerIterator Base;
typedef typename Lhs::Index Index;
Index m_outer;
public:
inline sparse_diagonal_product_inner_iterator_selector(
const SparseDiagonalProductType& expr, Index outer)
: Base(expr.lhs().innerVector(outer) .cwiseProduct(expr.rhs().diagonal().transpose()), 0)
: Base(expr.lhs().innerVector(outer) .cwiseProduct(expr.rhs().diagonal().transpose()), 0), m_outer(outer)
{}
inline Index outer() const { return m_outer; }
inline Index row() const { return m_outer; }
};
} // end namespace internal

View File

@ -123,6 +123,7 @@ template<typename SparseMatrixType> void sparse_product()
{
DenseMatrix refM2 = DenseMatrix::Zero(rows, cols);
DenseMatrix refM3 = DenseMatrix::Zero(rows, cols);
DenseMatrix d3 = DenseMatrix::Zero(rows, cols);
DiagonalMatrix<Scalar,Dynamic> d1(DenseVector::Random(cols));
DiagonalMatrix<Scalar,Dynamic> d2(DenseVector::Random(rows));
SparseMatrixType m2(rows, cols);
@ -133,6 +134,12 @@ template<typename SparseMatrixType> void sparse_product()
VERIFY_IS_APPROX(m3=m2.transpose()*d2, refM3=refM2.transpose()*d2);
VERIFY_IS_APPROX(m3=d2*m2, refM3=d2*refM2);
VERIFY_IS_APPROX(m3=d1*m2.transpose(), refM3=d1*refM2.transpose());
// evaluate to a dense matrix to check the .row() and .col() iterator functions
VERIFY_IS_APPROX(d3=m2*d1, refM3=refM2*d1);
VERIFY_IS_APPROX(d3=m2.transpose()*d2, refM3=refM2.transpose()*d2);
VERIFY_IS_APPROX(d3=d2*m2, refM3=d2*refM2);
VERIFY_IS_APPROX(d3=d1*m2.transpose(), refM3=d1*refM2.transpose());
}
// test self adjoint products