Files
eigen/Eigen/src/Core/AssociativeFunctors.h
Benoit Jacob d1a29d6319 -new: recursive costs system, useful to determine automatically
when to evaluate arguments and when to meta-unroll.
-use it in Product to determine when to eval args. not yet used
 to determine when to unroll. for now, not used anywhere else but
 that'll follow.
-fix badness of my last commit
2008-04-03 11:10:17 +00:00

69 lines
2.8 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) 2008 Gael Guennebaud <g.gael@free.fr>
//
// 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_ASSOCIATIVE_FUNCTORS_H
#define EIGEN_ASSOCIATIVE_FUNCTORS_H
/** \internal
* \brief Template functor to compute the sum of two scalars
*
* \sa class CwiseBinaryOp, MatrixBase::operator+, class PartialRedux, MatrixBase::sum()
*/
template<typename Scalar> struct ei_scalar_sum_op EIGEN_EMPTY_STRUCT {
const Scalar operator() (const Scalar& a, const Scalar& b) const { return a + b; }
enum { Cost = NumTraits<Scalar>::AddCost };
};
/** \internal
* \brief Template functor to compute the product of two scalars
*
* \sa class CwiseBinaryOp, MatrixBase::cwiseProduct(), class PartialRedux, MatrixBase::redux()
*/
template<typename Scalar> struct ei_scalar_product_op EIGEN_EMPTY_STRUCT {
const Scalar operator() (const Scalar& a, const Scalar& b) const { return a * b; }
enum { Cost = NumTraits<Scalar>::MulCost };
};
/** \internal
* \brief Template functor to compute the min of two scalars
*
* \sa class CwiseBinaryOp, MatrixBase::cwiseMin, class PartialRedux, MatrixBase::minCoeff()
*/
template<typename Scalar> struct ei_scalar_min_op EIGEN_EMPTY_STRUCT {
const Scalar operator() (const Scalar& a, const Scalar& b) const { return std::min(a, b); }
enum { Cost = ConditionalJumpCost + NumTraits<Scalar>::AddCost };
};
/** \internal
* \brief Template functor to compute the max of two scalars
*
* \sa class CwiseBinaryOp, MatrixBase::cwiseMax, class PartialRedux, MatrixBase::maxCoeff()
*/
template<typename Scalar> struct ei_scalar_max_op EIGEN_EMPTY_STRUCT {
const Scalar operator() (const Scalar& a, const Scalar& b) const { return std::max(a, b); }
enum { Cost = ConditionalJumpCost + NumTraits<Scalar>::AddCost };
};
#endif // EIGEN_ASSOCIATIVE_FUNCTORS_H