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1) Kill MatrixXpr class, instead let all class inherit a common EigenBase class 2) Kill MatrixBase/Matrix/Vector classes, instead introduce a single Matrix class, a MatrixStorage class, and typedefs to emulate vectors 3) Huge code cleanup, remove large preprocessor macros, sloccount drop to ~750 down from 1100. 4) Introduce compile-time-known sizes
188 lines
5.8 KiB
C++
188 lines
5.8 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#ifndef EIGEN_MATRIXOPS_H
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#define EIGEN_MATRIXOPS_H
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namespace Eigen {
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template<typename Lhs, typename Rhs> class MatrixSum
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: public EigenBase<typename Lhs::Scalar, MatrixSum<Lhs, Rhs> >
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{
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public:
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typedef typename Lhs::Scalar Scalar;
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typedef typename Lhs::Ref LhsRef;
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typedef typename Rhs::Ref RhsRef;
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friend class EigenBase<Scalar, MatrixSum>;
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typedef MatrixSum Ref;
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MatrixSum(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
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}
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MatrixSum(const MatrixSum& other)
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: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
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INHERIT_ASSIGNMENT_OPERATORS(MatrixSum)
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private:
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const Ref& _ref() const { return *this; }
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int _rows() const { return m_lhs.rows(); }
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int _cols() const { return m_lhs.cols(); }
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Scalar _read(int row, int col) const
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{
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return m_lhs.read(row, col) + m_rhs.read(row, col);
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}
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protected:
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const LhsRef m_lhs;
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const RhsRef m_rhs;
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};
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template<typename Lhs, typename Rhs> class MatrixDifference
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: public EigenBase<typename Lhs::Scalar, MatrixDifference<Lhs, Rhs> >
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{
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public:
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typedef typename Lhs::Scalar Scalar;
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typedef typename Lhs::Ref LhsRef;
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typedef typename Rhs::Ref RhsRef;
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friend class EigenBase<Scalar, MatrixDifference>;
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typedef MatrixDifference Ref;
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MatrixDifference(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
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}
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MatrixDifference(const MatrixDifference& other)
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: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
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INHERIT_ASSIGNMENT_OPERATORS(MatrixDifference)
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private:
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const Ref& _ref() const { return *this; }
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int _rows() const { return m_lhs.rows(); }
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int _cols() const { return m_lhs.cols(); }
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Scalar _read(int row, int col) const
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{
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return m_lhs.read(row, col) - m_rhs.read(row, col);
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}
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protected:
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const LhsRef m_lhs;
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const RhsRef m_rhs;
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};
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template<typename Lhs, typename Rhs> class MatrixProduct
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: public EigenBase<typename Lhs::Scalar, MatrixProduct<Lhs, Rhs> >
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{
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public:
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typedef typename Lhs::Scalar Scalar;
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typedef typename Lhs::Ref LhsRef;
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typedef typename Rhs::Ref RhsRef;
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friend class EigenBase<Scalar, MatrixProduct>;
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typedef MatrixProduct Ref;
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static const int RowsAtCompileTime = Lhs::RowsAtCompileTime,
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ColsAtCompileTime = Rhs::ColsAtCompileTime;
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MatrixProduct(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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assert(lhs.cols() == rhs.rows());
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}
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MatrixProduct(const MatrixProduct& other)
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: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
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INHERIT_ASSIGNMENT_OPERATORS(MatrixProduct)
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private:
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const Ref& _ref() const { return *this; }
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int _rows() const { return m_lhs.rows(); }
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int _cols() const { return m_rhs.cols(); }
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Scalar _read(int row, int col) const
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{
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Scalar x = static_cast<Scalar>(0);
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for(int i = 0; i < m_lhs.cols(); i++)
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x += m_lhs.read(row, i) * m_rhs.read(i, col);
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return x;
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}
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protected:
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const LhsRef m_lhs;
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const RhsRef m_rhs;
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};
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template<typename Scalar, typename Derived1, typename Derived2>
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MatrixProduct<Derived1, Derived2>
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operator*(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
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{
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return MatrixProduct<Derived1, Derived2>(mat1.ref(), mat2.ref());
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}
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template<typename Scalar, typename Derived1, typename Derived2>
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MatrixSum<Derived1, Derived2>
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operator+(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
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{
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return MatrixSum<Derived1, Derived2>(mat1.ref(), mat2.ref());
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}
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template<typename Scalar, typename Derived1, typename Derived2>
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MatrixDifference<Derived1, Derived2>
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operator-(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
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{
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return MatrixDifference<Derived1, Derived2>(mat1.ref(), mat2.ref());
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}
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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Derived &
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EigenBase<Scalar, Derived>::operator+=(const EigenBase<Scalar, OtherDerived>& other)
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{
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*this = *this + other;
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return *static_cast<Derived*>(this);
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}
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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Derived &
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EigenBase<Scalar, Derived>::operator-=(const EigenBase<Scalar, OtherDerived> &other)
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{
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*this = *this - other;
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return *static_cast<Derived*>(this);
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}
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} // namespace Eigen
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#endif // EIGEN_MATRIXOPS_H
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