CGAL 6.0 - Linear and Quadratic Programming Solver
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QP_solver/solve_convex_hull_containment_lp2.h
// example: function to check whether a point is in the convex
// hull of other points; this version uses a maker
#include <CGAL/boost/iterator/transform_iterator.hpp>
#include <CGAL/Kernel_traits.h>
#include <CGAL/QP_models.h>
#include <CGAL/QP_functions.h>
// unary function to get homogeneous begin-iterator of point
template <class Point_d>
struct Homogeneous_begin {
typedef typename Point_d::Homogeneous_const_iterator result_type;
result_type operator() (const Point_d& p) const {
return p.homogeneous_begin();
}
};
// function to test whether point is in the convex hull of other points;
// the type ET is an exact type used for the computations
template <class Point_d, class RandomAccessIterator, class ET>
solve_convex_hull_containment_lp (const Point_d& p,
RandomAccessIterator end, const ET& dummy)
{
// construct program and solve it
(static_cast<int>(end-begin), // n
p.dimension()+1, // m
boost::transform_iterator
<Homogeneous_begin<Point_d>, RandomAccessIterator>(begin), // A
typename Point_d::Homogeneous_const_iterator (p.homogeneous_begin()),// b
<typename CGAL::Kernel_traits<Point_d>::Kernel::RT> (0)), dummy); // c
}
An object of class Quadratic_program_solution represents the solution of a linear or convex quadratic...
Definition: QP_solution.h:65
Quadratic_program_solution< ET > solve_nonnegative_linear_program(const NonnegativeLinearProgram &lp, const ET &, const Quadratic_program_options &options=Quadratic_program_options())
This function solves a nonnegative linear program, using some exact Integral Domain ET for its comput...
Nonnegative_linear_program_from_iterators< A_it, B_it, R_it, C_it > make_nonnegative_linear_program_from_iterators(int n, int m, const A_it &a, const B_it &b, const R_it &r, const C_it &c, std::iterator_traits< C_it >::value_type c0=std::iterator_traits< C_it >::value_type(0))
This template function creates an instance of Nonnegative_linear_program_from_iterators<A_it,...