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Diffstat (limited to 'Eigen/Core/Product.h')
-rw-r--r-- | Eigen/Core/Product.h | 133 |
1 files changed, 133 insertions, 0 deletions
diff --git a/Eigen/Core/Product.h b/Eigen/Core/Product.h new file mode 100644 index 000000000..506df2160 --- /dev/null +++ b/Eigen/Core/Product.h @@ -0,0 +1,133 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. Eigen itself is part of the KDE project. +// +// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr> +// +// Eigen is free software; you can redistribute it and/or modify it under the +// terms of the GNU General Public License as published by the Free Software +// Foundation; either version 2 or (at your option) any later version. +// +// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY +// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS +// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more +// details. +// +// You should have received a copy of the GNU General Public License along +// with Eigen; if not, write to the Free Software Foundation, Inc., 51 +// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. +// +// As a special exception, if other files instantiate templates or use macros +// or functions from this file, or you compile this file and link it +// with other works to produce a work based on this file, this file does not +// by itself cause the resulting work to be covered by the GNU General Public +// License. This exception does not invalidate any other reasons why a work +// based on this file might be covered by the GNU General Public License. + +#ifndef EIGEN_PRODUCT_H +#define EIGEN_PRODUCT_H + +template<int Index, int Size, typename Lhs, typename Rhs> +struct ProductUnroller +{ + static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, + typename Lhs::Scalar &res) + { + ProductUnroller<Index-1, Size, Lhs, Rhs>::run(row, col, lhs, rhs, res); + res += lhs.coeff(row, Index) * rhs.coeff(Index, col); + } +}; + +template<int Size, typename Lhs, typename Rhs> +struct ProductUnroller<0, Size, Lhs, Rhs> +{ + static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, + typename Lhs::Scalar &res) + { + res = lhs.coeff(row, 0) * rhs.coeff(0, col); + } +}; + +template<int Index, typename Lhs, typename Rhs> +struct ProductUnroller<Index, Dynamic, Lhs, Rhs> +{ + static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {} +}; + +// prevent buggy user code from causing an infinite recursion +template<int Index, typename Lhs, typename Rhs> +struct ProductUnroller<Index, 0, Lhs, Rhs> +{ + static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {} +}; + +template<typename Lhs, typename Rhs> class Product : NoOperatorEquals, + public MatrixBase<typename Lhs::Scalar, Product<Lhs, Rhs> > +{ + public: + typedef typename Lhs::Scalar Scalar; + typedef typename Lhs::Ref LhsRef; + typedef typename Rhs::Ref RhsRef; + friend class MatrixBase<Scalar, Product>; + + Product(const LhsRef& lhs, const RhsRef& rhs) + : m_lhs(lhs), m_rhs(rhs) + { + assert(lhs.cols() == rhs.rows()); + } + + Product(const Product& other) + : m_lhs(other.m_lhs), m_rhs(other.m_rhs) {} + + private: + static const int _RowsAtCompileTime = Lhs::RowsAtCompileTime, + _ColsAtCompileTime = Rhs::ColsAtCompileTime; + + const Product& _ref() const { return *this; } + int _rows() const { return m_lhs.rows(); } + int _cols() const { return m_rhs.cols(); } + + Scalar _coeff(int row, int col) const + { + Scalar res; + if(EIGEN_UNROLLED_LOOPS + && Lhs::ColsAtCompileTime != Dynamic && Lhs::ColsAtCompileTime <= 16) + ProductUnroller<Lhs::ColsAtCompileTime-1, Lhs::ColsAtCompileTime, LhsRef, RhsRef> + ::run(row, col, m_lhs, m_rhs, res); + else + { + res = m_lhs.coeff(row, 0) * m_rhs.coeff(0, col); + for(int i = 1; i < m_lhs.cols(); i++) + res += m_lhs.coeff(row, i) * m_rhs.coeff(i, col); + } + return res; + } + + protected: + const LhsRef m_lhs; + const RhsRef m_rhs; +}; + +template<typename Scalar, typename Derived> +template<typename OtherDerived> +const Product<Derived, OtherDerived> +MatrixBase<Scalar, Derived>::lazyProduct(const MatrixBase<Scalar, OtherDerived> &other) const +{ + return Product<Derived, OtherDerived>(ref(), other.ref()); +} + +template<typename Scalar, typename Derived1, typename Derived2> +Eval<Product<Derived1, Derived2> > +operator*(const MatrixBase<Scalar, Derived1> &mat1, const MatrixBase<Scalar, Derived2> &mat2) +{ + return mat1.lazyProduct(mat2).eval(); +} + +template<typename Scalar, typename Derived> +template<typename OtherDerived> +Derived & +MatrixBase<Scalar, Derived>::operator*=(const MatrixBase<Scalar, OtherDerived> &other) +{ + return *this = *this * other; +} + +#endif // EIGEN_PRODUCT_H |