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move partial-pivoting lu to ei_solve_impl
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@ -26,8 +26,6 @@
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#ifndef EIGEN_PARTIALLU_H
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#define EIGEN_PARTIALLU_H
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template<typename MatrixType, typename Rhs> struct ei_partialpivlu_solve_impl;
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/** \ingroup LU_Module
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*
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* \class PartialPivLU
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@ -59,10 +57,11 @@ template<typename MatrixType, typename Rhs> struct ei_partialpivlu_solve_impl;
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*
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* \sa MatrixBase::partialPivLu(), MatrixBase::determinant(), MatrixBase::inverse(), MatrixBase::computeInverse(), class FullPivLU
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*/
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template<typename MatrixType> class PartialPivLU
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template<typename _MatrixType> class PartialPivLU
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{
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public:
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typedef _MatrixType MatrixType;
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
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typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> IntRowVectorType;
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@ -134,11 +133,11 @@ template<typename MatrixType> class PartialPivLU
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* \sa TriangularView::solve(), inverse(), computeInverse()
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*/
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template<typename Rhs>
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inline const ei_partialpivlu_solve_impl<MatrixType, Rhs>
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inline const ei_solve_return_value<PartialPivLU, Rhs>
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solve(const MatrixBase<Rhs>& b) const
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{
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ei_assert(m_isInitialized && "PartialPivLU is not initialized.");
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return ei_partialpivlu_solve_impl<MatrixType, Rhs>(*this, b.derived());
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return ei_solve_return_value<PartialPivLU, Rhs>(*this, b.derived());
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}
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/** \returns the inverse of the matrix of which *this is the LU decomposition.
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@ -148,10 +147,10 @@ template<typename MatrixType> class PartialPivLU
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*
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* \sa MatrixBase::inverse(), LU::inverse()
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*/
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inline const ei_partialpivlu_solve_impl<MatrixType,NestByValue<typename MatrixType::IdentityReturnType> > inverse() const
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inline const ei_solve_return_value<PartialPivLU,NestByValue<typename MatrixType::IdentityReturnType> > inverse() const
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{
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ei_assert(m_isInitialized && "PartialPivLU is not initialized.");
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return ei_partialpivlu_solve_impl<MatrixType,NestByValue<typename MatrixType::IdentityReturnType> >
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return ei_solve_return_value<PartialPivLU,NestByValue<typename MatrixType::IdentityReturnType> >
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(*this, MatrixType::Identity(m_lu.rows(), m_lu.cols()).nestByValue());
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}
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@ -170,6 +169,9 @@ template<typename MatrixType> class PartialPivLU
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*/
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typename ei_traits<MatrixType>::Scalar determinant() const;
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inline int rows() const { return m_lu.rows(); }
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inline int cols() const { return m_lu.cols(); }
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protected:
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MatrixType m_lu;
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IntColVectorType m_p;
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@ -407,33 +409,11 @@ typename ei_traits<MatrixType>::Scalar PartialPivLU<MatrixType>::determinant() c
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/***** Implementation of solve() *****************************************************/
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template<typename MatrixType,typename Rhs>
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struct ei_traits<ei_partialpivlu_solve_impl<MatrixType,Rhs> >
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template<typename MatrixType, typename Rhs, typename Dest>
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struct ei_solve_impl<PartialPivLU<MatrixType>, Rhs, Dest>
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: ei_solve_return_value<PartialPivLU<MatrixType>, Rhs>
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{
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typedef Matrix<typename Rhs::Scalar,
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MatrixType::ColsAtCompileTime,
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Rhs::ColsAtCompileTime,
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Rhs::PlainMatrixType::Options,
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MatrixType::MaxColsAtCompileTime,
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Rhs::MaxColsAtCompileTime> ReturnMatrixType;
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};
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template<typename MatrixType, typename Rhs>
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struct ei_partialpivlu_solve_impl : public ReturnByValue<ei_partialpivlu_solve_impl<MatrixType, Rhs> >
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{
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typedef typename ei_cleantype<typename Rhs::Nested>::type RhsNested;
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typedef PartialPivLU<MatrixType> LUType;
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const LUType& m_lu;
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const typename Rhs::Nested m_rhs;
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ei_partialpivlu_solve_impl(const LUType& lu, const Rhs& rhs)
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: m_lu(lu), m_rhs(rhs)
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{}
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inline int rows() const { return m_lu.matrixLU().cols(); }
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inline int cols() const { return m_rhs.cols(); }
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template<typename Dest> void evalTo(Dest& dst) const
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void evalTo(Dest& dst) const
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{
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/* The decomposition PA = LU can be rewritten as A = P^{-1} L U.
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* So we proceed as follows:
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@ -442,19 +422,22 @@ struct ei_partialpivlu_solve_impl : public ReturnByValue<ei_partialpivlu_solve_i
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* Step 3: replace c by the solution x to Ux = c.
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*/
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const int size = m_lu.matrixLU().rows();
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ei_assert(m_rhs.rows() == size);
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const PartialPivLU<MatrixType>& dec = this->m_dec;
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const Rhs& rhs = this->m_rhs;
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const int size = dec.matrixLU().rows();
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ei_assert(rhs.rows() == size);
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dst.resize(size, m_rhs.cols());
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dst.resize(size, rhs.cols());
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// Step 1
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for(int i = 0; i < size; ++i) dst.row(m_lu.permutationP().coeff(i)) = m_rhs.row(i);
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for(int i = 0; i < size; ++i) dst.row(dec.permutationP().coeff(i)) = rhs.row(i);
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// Step 2
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m_lu.matrixLU().template triangularView<UnitLowerTriangular>().solveInPlace(dst);
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dec.matrixLU().template triangularView<UnitLowerTriangular>().solveInPlace(dst);
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// Step 3
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m_lu.matrixLU().template triangularView<UpperTriangular>().solveInPlace(dst);
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dec.matrixLU().template triangularView<UpperTriangular>().solveInPlace(dst);
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}
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};
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