eigen/src/internal/Vector.h
Benoit Jacob 1af61c6ff0 reorganize header files, split MatrixBase into smaller files.
expose only a few meta-headers to the user, the rest moves to a internal/ subdirectory
2007-09-09 09:41:15 +00:00

191 lines
4.1 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.
/** \file Matrix.h
* \brief Matrix and MatrixX class templates
*/
#ifndef EIGEN_VECTOR_H
#define EIGEN_VECTOR_H
#include "MatrixBase.h"
namespace Eigen
{
template<typename T, int Size>
class Vector: public MatrixBase<Vector<T, Size> >
{
friend class MatrixBase<Vector<T, Size> >;
typedef class MatrixBase<Vector<T, Size> > Base;
public:
typedef T Scalar;
private:
static bool _hasDynamicNumRows()
{ return false; }
static bool _hasDynamicNumCols()
{ return false; }
int _rows() const
{ return Size; }
int _cols() const
{ return 1; }
void _resize( int rows, int cols ) const
{
assert( rows == Size && cols == 1 );
}
public:
Vector()
{
assert(Size > 0);
}
explicit Vector(int rows, int cols = 1)
{
assert(Size > 0 && rows == Size && cols == 1);
}
Vector(const Vector& other) : Base()
{
*this = other;
}
void operator=(const Vector & other)
{ Base::operator=(other); }
template<typename XprContent>
void operator=(const MatrixXpr<XprContent> &xpr)
{
Base::operator=(xpr);
}
template<typename XprContent>
explicit Vector(const MatrixXpr<XprContent>& xpr)
{
*this = xpr;
}
int size() const { return _rows(); }
protected:
T m_array[Size];
};
template<typename T>
class VectorX : public MatrixBase<VectorX<T> >
{
friend class MatrixBase<VectorX<T> >;
typedef class MatrixBase<VectorX<T> > Base;
public:
typedef T Scalar;
explicit VectorX(int rows, int cols = 1)
{
assert(cols == 1);
_init(rows);
}
VectorX(const VectorX& other) : Base()
{
_init(other.size());
*this = other;
}
void operator=(const VectorX& other)
{
Base::operator=(other);
}
template<typename XprContent>
void operator=(const MatrixXpr<XprContent> &xpr)
{
Base::operator=(xpr);
}
template<typename XprContent>
explicit VectorX(const MatrixXpr<XprContent>& xpr)
{
_init(xpr.rows());
*this = xpr;
}
~VectorX()
{
delete[] m_array; }
int size() const { return _rows(); }
protected:
int m_size;
T *m_array;
private:
int _rows() const { return m_size; }
int _cols() const { return 1; }
static bool _hasDynamicNumRows()
{ return true; }
static bool _hasDynamicNumCols()
{ return false; }
void _resize(int rows, int cols)
{
assert(rows > 0 && cols == 1);
if(rows > m_size)
{
delete[] m_array;
m_array = new T[rows];
}
m_size = rows;
}
void _init(int size)
{
assert(size > 0);
m_size = size;
m_array = new T[m_size];
}
};
} // namespace Eigen
#endif // EIGEN_VECTOR_H