// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com> // // 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 EIGEN2_LU_H #define EIGEN2_LU_H namespace Eigen { template<typename MatrixType> class LU : public FullPivLU<MatrixType> { public: typedef typename MatrixType::Scalar Scalar; typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar; typedef Matrix<int, 1, MatrixType::ColsAtCompileTime, MatrixType::Options, 1, MatrixType::MaxColsAtCompileTime> IntRowVectorType; typedef Matrix<int, MatrixType::RowsAtCompileTime, 1, MatrixType::Options, MatrixType::MaxRowsAtCompileTime, 1> IntColVectorType; typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime, MatrixType::Options, 1, MatrixType::MaxColsAtCompileTime> RowVectorType; typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1, MatrixType::Options, MatrixType::MaxRowsAtCompileTime, 1> ColVectorType; typedef Matrix<typename MatrixType::Scalar, MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix" is the number of cols of the original matrix // so that the product "matrix * kernel = zero" makes sense Dynamic, // we don't know at compile-time the dimension of the kernel MatrixType::Options, MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space, whose dimension is the number // of columns of the original matrix > KernelResultType; typedef Matrix<typename MatrixType::Scalar, MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose dimension is the number // of rows of the original matrix Dynamic, // we don't know at compile time the dimension of the image (the rank) MatrixType::Options, MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix, MatrixType::MaxColsAtCompileTime // so it has the same number of rows and at most as many columns. > ImageResultType; typedef FullPivLU<MatrixType> Base; template<typename T> explicit LU(const T& t) : Base(t), m_originalMatrix(t) {} template<typename OtherDerived, typename ResultType> bool solve(const MatrixBase<OtherDerived>& b, ResultType *result) const { *result = static_cast<const Base*>(this)->solve(b); return true; } template<typename ResultType> inline void computeInverse(ResultType *result) const { solve(MatrixType::Identity(this->rows(), this->cols()), result); } template<typename KernelMatrixType> void computeKernel(KernelMatrixType *result) const { *result = static_cast<const Base*>(this)->kernel(); } template<typename ImageMatrixType> void computeImage(ImageMatrixType *result) const { *result = static_cast<const Base*>(this)->image(m_originalMatrix); } const ImageResultType image() const { return static_cast<const Base*>(this)->image(m_originalMatrix); } const MatrixType& m_originalMatrix; }; #if EIGEN2_SUPPORT_STAGE < STAGE20_RESOLVE_API_CONFLICTS /** \lu_module * * Synonym of partialPivLu(). * * \return the partial-pivoting LU decomposition of \c *this. * * \sa class PartialPivLU */ template<typename Derived> inline const LU<typename MatrixBase<Derived>::PlainObject> MatrixBase<Derived>::lu() const { return LU<PlainObject>(eval()); } #endif #ifdef EIGEN2_SUPPORT /** \lu_module * * Synonym of partialPivLu(). * * \return the partial-pivoting LU decomposition of \c *this. * * \sa class PartialPivLU */ template<typename Derived> inline const LU<typename MatrixBase<Derived>::PlainObject> MatrixBase<Derived>::eigen2_lu() const { return LU<PlainObject>(eval()); } #endif } // end namespace Eigen #endif // EIGEN2_LU_H