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generalize our internal rank K update routine to support more general A*B product while evaluating only one triangular part and make it available via, e.g.:

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R.triangularView<Lower>() += s * A * B;
This commit is contained in:
Gael Guennebaud
2010-11-10 18:58:55 +01:00
parent c810d14d4d
commit 2577ef90c0
6 changed files with 360 additions and 173 deletions
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50
Eigen/src/Core/TriangularMatrix.h
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@@ -189,9 +189,9 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
inline Index innerStride() const { return m_matrix.innerStride(); }
/** \sa MatrixBase::operator+=() */
template<typename Other> TriangularView& operator+=(const Other& other) { return *this = m_matrix + other; }
template<typename Other> TriangularView& operator+=(const DenseBase<Other>& other) { return *this = m_matrix + other.derived(); }
/** \sa MatrixBase::operator-=() */
template<typename Other> TriangularView& operator-=(const Other& other) { return *this = m_matrix - other; }
template<typename Other> TriangularView& operator-=(const DenseBase<Other>& other) { return *this = m_matrix - other.derived(); }
/** \sa MatrixBase::operator*=() */
TriangularView& operator*=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = m_matrix * other; }
/** \sa MatrixBase::operator/=() */
@@ -292,7 +292,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
(lhs.derived(),rhs.m_matrix);
}
template<int Side, typename OtherDerived>
typename internal::plain_matrix_type_column_major<OtherDerived>::type
solve(const MatrixBase<OtherDerived>& other) const;
@@ -341,8 +340,51 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
else
return m_matrix.diagonal().prod();
}
// TODO simplify the following:
template<typename ProductDerived, typename Lhs, typename Rhs>
EIGEN_STRONG_INLINE TriangularView& operator=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
{
setZero();
return assignProduct(other,1);
}
template<typename ProductDerived, typename Lhs, typename Rhs>
EIGEN_STRONG_INLINE TriangularView& operator+=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
{
return assignProduct(other,1);
}
template<typename ProductDerived, typename Lhs, typename Rhs>
EIGEN_STRONG_INLINE TriangularView& operator-=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
{
return assignProduct(other,-1);
}
template<typename ProductDerived>
EIGEN_STRONG_INLINE TriangularView& operator=(const ScaledProduct<ProductDerived>& other)
{
setZero();
return assignProduct(other,other.alpha());
}
template<typename ProductDerived>
EIGEN_STRONG_INLINE TriangularView& operator+=(const ScaledProduct<ProductDerived>& other)
{
return assignProduct(other,other.alpha());
}
template<typename ProductDerived>
EIGEN_STRONG_INLINE TriangularView& operator-=(const ScaledProduct<ProductDerived>& other)
{
return assignProduct(other,-other.alpha());
}
protected:
template<typename ProductDerived, typename Lhs, typename Rhs>
EIGEN_STRONG_INLINE TriangularView& assignProduct(const ProductBase<ProductDerived, Lhs,Rhs>& prod, const Scalar& alpha);
const MatrixTypeNested m_matrix;
};