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eigen/Eigen/src/Core/Matrix.h
2008-01-10 20:45:35 +00:00

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2008 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_MATRIX_H
#define EIGEN_MATRIX_H
/** \class Matrix
*
* \brief The matrix class, also used for vectors and row-vectors
*
* \param _Scalar the scalar type, i.e. the type of the coefficients
* \param _Rows the number of rows at compile-time. Use the special value \a Dynamic to specify that the number of rows is dynamic, i.e. is not fixed at compile-time.
* \param _Cols the number of columns at compile-time. Use the special value \a Dynamic to specify that the number of columns is dynamic, i.e. is not fixed at compile-time.
* \param _StorageOrder can be either \a RowMajor or \a ColumnMajor.
* This template parameter has a default value (EIGEN_DEFAULT_MATRIX_STORAGE_ORDER)
* which, if not predefined, is defined to \a ColumnMajor. You can override this behavior by
* predefining it before including Eigen headers.
*
* This single class template covers all kinds of matrix and vectors that Eigen can handle.
* All matrix and vector types are just typedefs to specializations of this class template.
*
* These typedefs are as follows:
* \li \c %Matrix\#\#Size\#\#Type for square matrices
* \li \c Vector\#\#Size\#\#Type for vectors (matrices with one column)
* \li \c RowVector\#\#Size\#\#Type for row-vectors (matrices with one row)
*
* where \c Size can be
* \li \c 2 for fixed size 2
* \li \c 3 for fixed size 3
* \li \c 4 for fixed size 4
* \li \c X for dynamic size
*
* and \c Type can be
* \li \c i for type \c int
* \li \c f for type \c float
* \li \c d for type \c double
* \li \c cf for type \c std::complex<float>
* \li \c cd for type \c std::complex<double>
*
* Examples:
* \li \c Matrix2d is a typedef for \c Matrix<double,2,2>
* \li \c VectorXf is a typedef for \c Matrix<float,Dynamic,1>
* \li \c RowVector3i is a typedef for \c Matrix<int,1,3>
*
* Of course these typedefs do not exhaust all the possibilities offered by the Matrix class
* template, they only address some of the most common cases. For instance, if you want a
* fixed-size matrix with 3 rows and 5 columns, there is no typedef for that, so you should use
* \c Matrix<double,3,5>.
*
* Note that most of the API is in the base class MatrixBase, and that the base class
* MatrixStorage also provides the MatrixStorage::recoeffs() public method.
*/
template<typename _Scalar, int _Rows, int _Cols,
int _StorageOrder = EIGEN_DEFAULT_MATRIX_STORAGE_ORDER>
class Matrix : public MatrixBase<_Scalar, Matrix<_Scalar, _Rows, _Cols, _StorageOrder> >,
public MatrixStorage<_Scalar, _Rows, _Cols>
{
public:
friend class MatrixBase<_Scalar, Matrix>;
friend class Map<Matrix>;
typedef MatrixBase<_Scalar, Matrix> Base;
typedef MatrixStorage<_Scalar, _Rows, _Cols> Storage;
typedef _Scalar Scalar;
typedef MatrixRef<Matrix> Ref;
friend class MatrixRef<Matrix>;
/** \returns a const pointer to the data array of this matrix */
const Scalar* data() const
{ return Storage::m_data; }
/** \returns a pointer to the data array of this matrix */
Scalar* data()
{ return Storage::m_data; }
private:
enum {
RowsAtCompileTime = _Rows,
ColsAtCompileTime = _Cols,
StorageOrder = _StorageOrder
};
Ref _ref() const { return Ref(*this); }
const Scalar& _coeff(int row, int col) const
{
if(_StorageOrder == ColumnMajor)
return (Storage::m_data)[row + col * Storage::_rows()];
else // RowMajor
return (Storage::m_data)[col + row * Storage::_cols()];
}
Scalar& _coeffRef(int row, int col)
{
if(_StorageOrder == ColumnMajor)
return (Storage::m_data)[row + col * Storage::_rows()];
else // RowMajor
return (Storage::m_data)[col + row * Storage::_cols()];
}
public:
/** Copies the value of the expression \a other into *this.
*
* *this is resized (if possible) to match the dimensions of \a other.
*
* As a special exception, copying a row-vector into a vector (and conversely)
* is allowed. The resizing, if any, is then done in the appropriate way so that
* row-vectors remain row-vectors and vectors remain vectors.
*/
template<typename OtherDerived>
Matrix& operator=(const MatrixBase<Scalar, OtherDerived>& other)
{
if(RowsAtCompileTime == 1)
{
assert(other.isVector());
resize(1, other.coeffs());
}
else if(ColsAtCompileTime == 1)
{
assert(other.isVector());
resize(other.coeffs(), 1);
}
else resize(other.rows(), other.cols());
return Base::operator=(other);
}
/** This is a special case of the templated operator=. Its purpose is to
* prevent a default operator= from hiding the templated operator=.
*/
Matrix& operator=(const Matrix& other)
{
return operator=<Matrix>(other);
}
EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, +=)
EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, -=)
EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, *=)
EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, /=)
static const Map<Matrix> map(const Scalar* array, int rows, int cols);
static const Map<Matrix> map(const Scalar* array, int size);
static const Map<Matrix> map(const Scalar* array);
static Map<Matrix> map(Scalar* array, int rows, int cols);
static Map<Matrix> map(Scalar* array, int size);
static Map<Matrix> map(Scalar* array);
/** Default constructor, does nothing. Only for fixed-size matrices.
* For dynamic-size matrices and vectors, this constructor is forbidden (guarded by
* an assertion) because it would leave the matrix without an allocated data buffer.
*/
explicit Matrix() : Storage()
{
assert(RowsAtCompileTime > 0 && ColsAtCompileTime > 0);
}
/** Constructs a vector or row-vector with given dimension. \only_for_vectors
*
* Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
* it is redundant to pass the dimension here, so it makes more sense to use the default
* constructor Matrix() instead.
*/
explicit Matrix(int dim) : Storage(dim)
{
assert(dim > 0);
assert((RowsAtCompileTime == 1
&& (ColsAtCompileTime == Dynamic || ColsAtCompileTime == dim))
|| (ColsAtCompileTime == 1
&& (RowsAtCompileTime == Dynamic || RowsAtCompileTime == dim)));
}
/** This constructor has two very different behaviors, depending on the type of *this.
*
* \li When Matrix is a fixed-size vector type of size 2, this constructor constructs
* an initialized vector. The parameters \a x, \a y are copied into the first and second
* coords of the vector respectively.
* \li Otherwise, this constructor constructs an uninitialized matrix with \a x rows and
* \a y columns. This is useful for dynamic-size matrices. For fixed-size matrices,
* it is redundant to pass these parameters, so one should use the default constructor
* Matrix() instead.
*/
Matrix(int x, int y) : Storage(x, y)
{
if((RowsAtCompileTime == 1 && ColsAtCompileTime == 2)
|| (RowsAtCompileTime == 2 && ColsAtCompileTime == 1))
{
(Storage::m_data)[0] = x;
(Storage::m_data)[1] = y;
}
else
{
assert(x > 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == x)
&& y > 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == y));
}
}
/** constructs an initialized 2D vector with given coefficients */
Matrix(const float& x, const float& y)
{
assert((RowsAtCompileTime == 1 && ColsAtCompileTime == 2)
|| (RowsAtCompileTime == 2 && ColsAtCompileTime == 1));
(Storage::m_data)[0] = x;
(Storage::m_data)[1] = y;
}
/** constructs an initialized 2D vector with given coefficients */
Matrix(const double& x, const double& y)
{
assert((RowsAtCompileTime == 1 && ColsAtCompileTime == 2)
|| (RowsAtCompileTime == 2 && ColsAtCompileTime == 1));
(Storage::m_data)[0] = x;
(Storage::m_data)[1] = y;
}
/** constructs an initialized 3D vector with given coefficients */
Matrix(const Scalar& x, const Scalar& y, const Scalar& z)
{
assert((RowsAtCompileTime == 1 && ColsAtCompileTime == 3)
|| (RowsAtCompileTime == 3 && ColsAtCompileTime == 1));
(Storage::m_data)[0] = x;
(Storage::m_data)[1] = y;
(Storage::m_data)[2] = z;
}
/** constructs an initialized 4D vector with given coefficients */
Matrix(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
{
assert((RowsAtCompileTime == 1 && ColsAtCompileTime == 4)
|| (RowsAtCompileTime == 4 && ColsAtCompileTime == 1));
(Storage::m_data)[0] = x;
(Storage::m_data)[1] = y;
(Storage::m_data)[2] = z;
(Storage::m_data)[3] = w;
}
Matrix(const Scalar *data, int rows, int cols);
Matrix(const Scalar *data, int size);
explicit Matrix(const Scalar *data);
/** Constructor copying the value of the expression \a other */
template<typename OtherDerived>
Matrix(const MatrixBase<Scalar, OtherDerived>& other)
: Storage(other.rows(), other.cols())
{
*this = other;
}
/** Copy constructor */
Matrix(const Matrix& other) : Storage(other.rows(), other.cols())
{
*this = other;
}
/** Destructor */
~Matrix() {}
};
#define EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix) \
typedef Matrix<Type, Size, Size> Matrix##SizeSuffix##TypeSuffix; \
typedef Matrix<Type, Size, 1> Vector##SizeSuffix##TypeSuffix; \
typedef Matrix<Type, 1, Size> RowVector##SizeSuffix##TypeSuffix;
#define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X)
EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int, i)
EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float, f)
EIGEN_MAKE_TYPEDEFS_ALL_SIZES(double, d)
EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<float>, cf)
EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
#undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
#undef EIGEN_MAKE_TYPEDEFS
#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
using Eigen::Matrix##SizeSuffix##TypeSuffix; \
using Eigen::Vector##SizeSuffix##TypeSuffix; \
using Eigen::RowVector##SizeSuffix##TypeSuffix;
#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(TypeSuffix) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X)
#define EIGEN_USING_MATRIX_TYPEDEFS \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(i) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(f) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(d) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cf) \
EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cd)
#endif // EIGEN_MATRIX_H