// This file is part of gen, a lightweight C++ template library // for linear algebra. gen itself is part of the KDE project. // // Copyright (C) 2006-2007 Benoit Jacob // // gen 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. // // gen 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 gen; 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 EI_MATRIXOPS_H #define EI_MATRIXOPS_H template class Sum : public Object > { public: typedef typename Lhs::Scalar Scalar; typedef typename Lhs::ConstRef LhsRef; typedef typename Rhs::ConstRef RhsRef; friend class Object; static const int RowsAtCompileTime = Lhs::RowsAtCompileTime, ColsAtCompileTime = Rhs::ColsAtCompileTime; Sum(const LhsRef& lhs, const RhsRef& rhs) : m_lhs(lhs), m_rhs(rhs) { assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols()); } Sum(const Sum& other) : m_lhs(other.m_lhs), m_rhs(other.m_rhs) {} EI_INHERIT_ASSIGNMENT_OPERATORS(Sum) private: const Sum& _ref() const { return *this; } const Sum& _constRef() const { return *this; } int _rows() const { return m_lhs.rows(); } int _cols() const { return m_lhs.cols(); } Scalar _read(int row, int col) const { return m_lhs.read(row, col) + m_rhs.read(row, col); } protected: const LhsRef m_lhs; const RhsRef m_rhs; }; template class Difference : public Object > { public: typedef typename Lhs::Scalar Scalar; typedef typename Lhs::ConstRef LhsRef; typedef typename Rhs::ConstRef RhsRef; friend class Object; static const int RowsAtCompileTime = Lhs::RowsAtCompileTime, ColsAtCompileTime = Rhs::ColsAtCompileTime; Difference(const LhsRef& lhs, const RhsRef& rhs) : m_lhs(lhs), m_rhs(rhs) { assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols()); } Difference(const Difference& other) : m_lhs(other.m_lhs), m_rhs(other.m_rhs) {} EI_INHERIT_ASSIGNMENT_OPERATORS(Difference) private: const Difference& _ref() const { return *this; } const Difference& _constRef() const { return *this; } int _rows() const { return m_lhs.rows(); } int _cols() const { return m_lhs.cols(); } Scalar _read(int row, int col) const { return m_lhs.read(row, col) - m_rhs.read(row, col); } protected: const LhsRef m_lhs; const RhsRef m_rhs; }; template struct MatrixProductUnroller { static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res) { MatrixProductUnroller::run(row, col, lhs, rhs, res); res += lhs.read(row, Index) * rhs.read(Index, col); } }; template struct MatrixProductUnroller<0, Size, Lhs, Rhs> { static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res) { res = lhs.read(row, 0) * rhs.read(0, col); } }; template struct MatrixProductUnroller { static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res) { EI_UNUSED(row); EI_UNUSED(col); EI_UNUSED(lhs); EI_UNUSED(rhs); EI_UNUSED(res); } }; template class MatrixProduct : public Object > { public: typedef typename Lhs::Scalar Scalar; typedef typename Lhs::ConstRef LhsRef; typedef typename Rhs::ConstRef RhsRef; friend class Object; static const int RowsAtCompileTime = Lhs::RowsAtCompileTime, ColsAtCompileTime = Rhs::ColsAtCompileTime; MatrixProduct(const LhsRef& lhs, const RhsRef& rhs) : m_lhs(lhs), m_rhs(rhs) { assert(lhs.cols() == rhs.rows()); } MatrixProduct(const MatrixProduct& other) : m_lhs(other.m_lhs), m_rhs(other.m_rhs) {} EI_INHERIT_ASSIGNMENT_OPERATORS(MatrixProduct) private: const MatrixProduct& _ref() const { return *this; } const MatrixProduct& _constRef() const { return *this; } int _rows() const { return m_lhs.rows(); } int _cols() const { return m_rhs.cols(); } Scalar _read(int row, int col) const { Scalar res; if(Lhs::ColsAtCompileTime != Dynamic && Lhs::ColsAtCompileTime <= 16) MatrixProductUnroller ::run(row, col, m_lhs, m_rhs, res); else { res = m_lhs(row, 0) * m_rhs(0, col); for(int i = 1; i < m_lhs.cols(); i++) res += m_lhs(row, i) * m_rhs(i, col); } return res; } protected: const LhsRef m_lhs; const RhsRef m_rhs; }; template Sum operator+(const Object &mat1, const Object &mat2) { return Sum(mat1.constRef(), mat2.constRef()); } template Difference operator-(const Object &mat1, const Object &mat2) { return Difference(mat1.constRef(), mat2.constRef()); } template template MatrixProduct Object::lazyMul(const Object &other) const { return MatrixProduct(constRef(), other.constRef()); } template Eval > operator*(const Object &mat1, const Object &mat2) { return mat1.lazyMul(mat2).eval(); } template template Derived & Object::operator+=(const Object& other) { return *this = *this + other; } template template Derived & Object::operator-=(const Object &other) { return *this = *this - other; } template template Derived & Object::operator*=(const Object &other) { return *this = *this * other; } #endif // EI_MATRIXOPS_H