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Diffstat (limited to 'extern/Eigen2/Eigen/src/Core/util/ForwardDeclarations.h')
| -rw-r--r-- | extern/Eigen2/Eigen/src/Core/util/ForwardDeclarations.h | 125 |
1 files changed, 125 insertions, 0 deletions
diff --git a/extern/Eigen2/Eigen/src/Core/util/ForwardDeclarations.h b/extern/Eigen2/Eigen/src/Core/util/ForwardDeclarations.h new file mode 100644 index 00000000000..a72a40b1bfc --- /dev/null +++ b/extern/Eigen2/Eigen/src/Core/util/ForwardDeclarations.h @@ -0,0 +1,125 @@ +// 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.benoit.1@gmail.com> +// +// Eigen is free software; you can redistribute it and/or +// modify it under the terms of the GNU Lesser General Public +// License as published by the Free Software Foundation; either +// version 3 of the License, or (at your option) any later version. +// +// Alternatively, 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 of +// the License, 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 Lesser General Public License or the +// GNU General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public +// License and a copy of the GNU General Public License along with +// Eigen. If not, see <http://www.gnu.org/licenses/>. + +#ifndef EIGEN_FORWARDDECLARATIONS_H +#define EIGEN_FORWARDDECLARATIONS_H + +template<typename T> struct ei_traits; +template<typename T> struct NumTraits; + +template<typename _Scalar, int _Rows, int _Cols, + int _Options = EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION | AutoAlign, + int _MaxRows = _Rows, int _MaxCols = _Cols> class Matrix; + +template<typename ExpressionType, unsigned int Added, unsigned int Removed> class Flagged; +template<typename ExpressionType> class NestByValue; +template<typename ExpressionType> class SwapWrapper; +template<typename MatrixType> class Minor; +template<typename MatrixType, int BlockRows=Dynamic, int BlockCols=Dynamic, int PacketAccess=AsRequested, + int _DirectAccessStatus = ei_traits<MatrixType>::Flags&DirectAccessBit ? DirectAccessBit + : ei_traits<MatrixType>::Flags&SparseBit> class Block; +template<typename MatrixType> class Transpose; +template<typename MatrixType> class Conjugate; +template<typename NullaryOp, typename MatrixType> class CwiseNullaryOp; +template<typename UnaryOp, typename MatrixType> class CwiseUnaryOp; +template<typename BinaryOp, typename Lhs, typename Rhs> class CwiseBinaryOp; +template<typename Lhs, typename Rhs, int ProductMode> class Product; +template<typename CoeffsVectorType> class DiagonalMatrix; +template<typename MatrixType> class DiagonalCoeffs; +template<typename MatrixType, int PacketAccess = AsRequested> class Map; +template<typename MatrixType, unsigned int Mode> class Part; +template<typename MatrixType, unsigned int Mode> class Extract; +template<typename ExpressionType> class Cwise; +template<typename ExpressionType> class WithFormat; +template<typename MatrixType> struct CommaInitializer; + + +template<typename Lhs, typename Rhs> struct ei_product_mode; +template<typename Lhs, typename Rhs, int ProductMode = ei_product_mode<Lhs,Rhs>::value> struct ProductReturnType; + +template<typename Scalar> struct ei_scalar_sum_op; +template<typename Scalar> struct ei_scalar_difference_op; +template<typename Scalar> struct ei_scalar_product_op; +template<typename Scalar> struct ei_scalar_quotient_op; +template<typename Scalar> struct ei_scalar_opposite_op; +template<typename Scalar> struct ei_scalar_conjugate_op; +template<typename Scalar> struct ei_scalar_real_op; +template<typename Scalar> struct ei_scalar_imag_op; +template<typename Scalar> struct ei_scalar_abs_op; +template<typename Scalar> struct ei_scalar_abs2_op; +template<typename Scalar> struct ei_scalar_sqrt_op; +template<typename Scalar> struct ei_scalar_exp_op; +template<typename Scalar> struct ei_scalar_log_op; +template<typename Scalar> struct ei_scalar_cos_op; +template<typename Scalar> struct ei_scalar_sin_op; +template<typename Scalar> struct ei_scalar_pow_op; +template<typename Scalar> struct ei_scalar_inverse_op; +template<typename Scalar> struct ei_scalar_square_op; +template<typename Scalar> struct ei_scalar_cube_op; +template<typename Scalar, typename NewType> struct ei_scalar_cast_op; +template<typename Scalar> struct ei_scalar_multiple_op; +template<typename Scalar> struct ei_scalar_quotient1_op; +template<typename Scalar> struct ei_scalar_min_op; +template<typename Scalar> struct ei_scalar_max_op; +template<typename Scalar> struct ei_scalar_random_op; +template<typename Scalar> struct ei_scalar_add_op; +template<typename Scalar> struct ei_scalar_constant_op; +template<typename Scalar> struct ei_scalar_identity_op; + +struct IOFormat; + +template<typename Scalar> +void ei_cache_friendly_product( + int _rows, int _cols, int depth, + bool _lhsRowMajor, const Scalar* _lhs, int _lhsStride, + bool _rhsRowMajor, const Scalar* _rhs, int _rhsStride, + bool resRowMajor, Scalar* res, int resStride); + +// Array module +template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType> class Select; +template<typename MatrixType, typename BinaryOp, int Direction> class PartialReduxExpr; +template<typename ExpressionType, int Direction> class PartialRedux; + +template<typename MatrixType> class LU; +template<typename MatrixType> class QR; +template<typename MatrixType> class SVD; +template<typename MatrixType> class LLT; +template<typename MatrixType> class LDLT; + +// Geometry module: +template<typename Derived, int _Dim> class RotationBase; +template<typename Lhs, typename Rhs> class Cross; +template<typename Scalar> class Quaternion; +template<typename Scalar> class Rotation2D; +template<typename Scalar> class AngleAxis; +template<typename Scalar,int Dim> class Transform; +template <typename _Scalar, int _AmbientDim> class ParametrizedLine; +template <typename _Scalar, int _AmbientDim> class Hyperplane; +template<typename Scalar,int Dim> class Translation; +template<typename Scalar,int Dim> class Scaling; + +// Sparse module: +template<typename Lhs, typename Rhs, int ProductMode> class SparseProduct; + +#endif // EIGEN_FORWARDDECLARATIONS_H |