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89a134ba0b
dimension. The advantage is that evaluating a dynamic-sized block in a fixed-size matrix no longer causes a dynamic memory allocation. Other new thing: IntAtRunTimeIfDynamic allows storing an integer at zero cost if it is known at compile time.
65 lines
2.9 KiB
C++
65 lines
2.9 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) 2006-2008 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_FORWARDDECLARATIONS_H
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#define EIGEN_FORWARDDECLARATIONS_H
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template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols> class Matrix;
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template<typename MatrixType> class MatrixRef;
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template<typename NewScalar, typename MatrixType> class Cast;
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template<typename MatrixType> class Row;
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template<typename MatrixType> class Column;
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template<typename MatrixType> class Minor;
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template<typename MatrixType> class DynBlock;
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template<typename MatrixType, int BlockRows, int BlockCols> class Block;
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template<typename MatrixType> class Transpose;
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template<typename MatrixType> class Conjugate;
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template<typename MatrixType> class Opposite;
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template<typename Lhs, typename Rhs> class Sum;
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template<typename Lhs, typename Rhs> class Difference;
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template<typename Lhs, typename Rhs> class Product;
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template<typename FactorType, typename MatrixType> class ScalarMultiple;
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template<typename MatrixType> class Random;
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template<typename MatrixType> class Zero;
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template<typename MatrixType> class Ones;
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template<typename CoeffsVectorType> class DiagonalMatrix;
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template<typename MatrixType> class DiagonalCoeffs;
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template<typename MatrixType> class Identity;
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template<typename ExpressionType> class Eval;
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template<typename MatrixType> class Map;
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template<typename T> struct Reference
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{
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typedef T Type;
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};
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template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
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struct Reference<Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols> >
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{
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typedef MatrixRef<Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols> > Type;
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};
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#endif // EIGEN_FORWARDDECLARATIONS_H
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