// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008 Gael Guennebaud // // 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 . #ifndef EIGEN_VISITOR_H #define EIGEN_VISITOR_H template struct ei_visitor_impl { enum { col = (UnrollCount-1) / Derived::RowsAtCompileTime, row = (UnrollCount-1) % Derived::RowsAtCompileTime }; inline static void run(const Derived &mat, Visitor& visitor) { ei_visitor_impl::run(mat, visitor); visitor(mat.coeff(row, col), row, col); } }; template struct ei_visitor_impl { inline static void run(const Derived &mat, Visitor& visitor) { return visitor.init(mat.coeff(0, 0), 0, 0); } }; template struct ei_visitor_impl { inline static void run(const Derived& mat, Visitor& visitor) { visitor.init(mat.coeff(0,0), 0, 0); for(int i = 1; i < mat.rows(); ++i) visitor(mat.coeff(i, 0), i, 0); for(int j = 1; j < mat.cols(); ++j) for(int i = 0; i < mat.rows(); ++i) visitor(mat.coeff(i, j), i, j); } }; /** Applies the visitor \a visitor to the whole coefficients of the matrix or vector. * * The template parameter \a Visitor is the type of the visitor and provides the following interface: * \code * struct MyVisitor { * // called for the first coefficient * void init(const Scalar& value, int i, int j); * // called for all other coefficients * void operator() (const Scalar& value, int i, int j); * }; * \endcode * * \note compared to one or two \em for \em loops, visitors offer automatic * unrolling for small fixed size matrix. * * \sa minCoeff(int*,int*), maxCoeff(int*,int*), DenseBase::redux() */ template template void DenseBase::visit(Visitor& visitor) const { const bool unroll = SizeAtCompileTime * CoeffReadCost + (SizeAtCompileTime-1) * ei_functor_traits::Cost <= EIGEN_UNROLLING_LIMIT; return ei_visitor_impl::run(derived(), visitor); } /** \internal * \brief Base class to implement min and max visitors */ template struct ei_coeff_visitor { int row, col; Scalar res; inline void init(const Scalar& value, int i, int j) { res = value; row = i; col = j; } }; /** \internal * \brief Visitor computing the min coefficient with its value and coordinates * * \sa DenseBase::minCoeff(int*, int*) */ template struct ei_min_coeff_visitor : ei_coeff_visitor { void operator() (const Scalar& value, int i, int j) { if(value < this->res) { this->res = value; this->row = i; this->col = j; } } }; template struct ei_functor_traits > { enum { Cost = NumTraits::AddCost }; }; /** \internal * \brief Visitor computing the max coefficient with its value and coordinates * * \sa DenseBase::maxCoeff(int*, int*) */ template struct ei_max_coeff_visitor : ei_coeff_visitor { void operator() (const Scalar& value, int i, int j) { if(value > this->res) { this->res = value; this->row = i; this->col = j; } } }; template struct ei_functor_traits > { enum { Cost = NumTraits::AddCost }; }; /** \returns the minimum of all coefficients of *this * and puts in *row and *col its location. * * \sa DenseBase::minCoeff(int*), DenseBase::maxCoeff(int*,int*), DenseBase::visitor(), DenseBase::minCoeff() */ template typename ei_traits::Scalar DenseBase::minCoeff(int* row, int* col) const { ei_min_coeff_visitor minVisitor; this->visit(minVisitor); *row = minVisitor.row; if (col) *col = minVisitor.col; return minVisitor.res; } /** \returns the minimum of all coefficients of *this * and puts in *index its location. * * \sa DenseBase::minCoeff(int*,int*), DenseBase::maxCoeff(int*,int*), DenseBase::visitor(), DenseBase::minCoeff() */ template typename ei_traits::Scalar DenseBase::minCoeff(int* index) const { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) ei_min_coeff_visitor minVisitor; this->visit(minVisitor); *index = (RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row; return minVisitor.res; } /** \returns the maximum of all coefficients of *this * and puts in *row and *col its location. * * \sa DenseBase::minCoeff(int*,int*), DenseBase::visitor(), DenseBase::maxCoeff() */ template typename ei_traits::Scalar DenseBase::maxCoeff(int* row, int* col) const { ei_max_coeff_visitor maxVisitor; this->visit(maxVisitor); *row = maxVisitor.row; if (col) *col = maxVisitor.col; return maxVisitor.res; } /** \returns the maximum of all coefficients of *this * and puts in *index its location. * * \sa DenseBase::maxCoeff(int*,int*), DenseBase::minCoeff(int*,int*), DenseBase::visitor(), DenseBase::maxCoeff() */ template typename ei_traits::Scalar DenseBase::maxCoeff(int* index) const { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) ei_max_coeff_visitor maxVisitor; this->visit(maxVisitor); *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row; return maxVisitor.res; } #endif // EIGEN_VISITOR_H