Files
eigen/src/internal/MatrixOps.h
Benoit Jacob 55227b1f63 Deep refactoring.
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
2007-09-26 14:06:14 +00:00

188 lines
5.8 KiB
C++

// 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_MATRIXOPS_H
#define EIGEN_MATRIXOPS_H
namespace Eigen {
template<typename Lhs, typename Rhs> class MatrixSum
: public EigenBase<typename Lhs::Scalar, MatrixSum<Lhs, Rhs> >
{
public:
typedef typename Lhs::Scalar Scalar;
typedef typename Lhs::Ref LhsRef;
typedef typename Rhs::Ref RhsRef;
friend class EigenBase<Scalar, MatrixSum>;
typedef MatrixSum Ref;
MatrixSum(const LhsRef& lhs, const RhsRef& rhs)
: m_lhs(lhs), m_rhs(rhs)
{
assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
}
MatrixSum(const MatrixSum& other)
: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
INHERIT_ASSIGNMENT_OPERATORS(MatrixSum)
private:
const Ref& _ref() 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<typename Lhs, typename Rhs> class MatrixDifference
: public EigenBase<typename Lhs::Scalar, MatrixDifference<Lhs, Rhs> >
{
public:
typedef typename Lhs::Scalar Scalar;
typedef typename Lhs::Ref LhsRef;
typedef typename Rhs::Ref RhsRef;
friend class EigenBase<Scalar, MatrixDifference>;
typedef MatrixDifference Ref;
MatrixDifference(const LhsRef& lhs, const RhsRef& rhs)
: m_lhs(lhs), m_rhs(rhs)
{
assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
}
MatrixDifference(const MatrixDifference& other)
: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
INHERIT_ASSIGNMENT_OPERATORS(MatrixDifference)
private:
const Ref& _ref() 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<typename Lhs, typename Rhs> class MatrixProduct
: public EigenBase<typename Lhs::Scalar, MatrixProduct<Lhs, Rhs> >
{
public:
typedef typename Lhs::Scalar Scalar;
typedef typename Lhs::Ref LhsRef;
typedef typename Rhs::Ref RhsRef;
friend class EigenBase<Scalar, MatrixProduct>;
typedef MatrixProduct Ref;
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) {}
INHERIT_ASSIGNMENT_OPERATORS(MatrixProduct)
private:
const Ref& _ref() 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 x = static_cast<Scalar>(0);
for(int i = 0; i < m_lhs.cols(); i++)
x += m_lhs.read(row, i) * m_rhs.read(i, col);
return x;
}
protected:
const LhsRef m_lhs;
const RhsRef m_rhs;
};
template<typename Scalar, typename Derived1, typename Derived2>
MatrixProduct<Derived1, Derived2>
operator*(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
{
return MatrixProduct<Derived1, Derived2>(mat1.ref(), mat2.ref());
}
template<typename Scalar, typename Derived1, typename Derived2>
MatrixSum<Derived1, Derived2>
operator+(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
{
return MatrixSum<Derived1, Derived2>(mat1.ref(), mat2.ref());
}
template<typename Scalar, typename Derived1, typename Derived2>
MatrixDifference<Derived1, Derived2>
operator-(const EigenBase<Scalar, Derived1> &mat1, const EigenBase<Scalar, Derived2> &mat2)
{
return MatrixDifference<Derived1, Derived2>(mat1.ref(), mat2.ref());
}
template<typename Scalar, typename Derived>
template<typename OtherDerived>
Derived &
EigenBase<Scalar, Derived>::operator+=(const EigenBase<Scalar, OtherDerived>& other)
{
*this = *this + other;
return *static_cast<Derived*>(this);
}
template<typename Scalar, typename Derived>
template<typename OtherDerived>
Derived &
EigenBase<Scalar, Derived>::operator-=(const EigenBase<Scalar, OtherDerived> &other)
{
*this = *this - other;
return *static_cast<Derived*>(this);
}
} // namespace Eigen
#endif // EIGEN_MATRIXOPS_H