mirror of https://github.com/CGAL/cgal
204 lines
8.8 KiB
C++
204 lines
8.8 KiB
C++
// Copyright (c) 2009 INRIA Sophia-Antipolis (France).
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// All rights reserved.
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//
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// This file is part of CGAL (www.cgal.org).
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//
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// $URL$
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// $Id$
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// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
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//
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//
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// Author(s) : Stephane Tayeb
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//
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//******************************************************************************
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// File Description : lloyd_optimize_mesh_3 function definition.
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//******************************************************************************
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#ifndef CGAL_LLOYD_OPTIMIZE_MESH_3_H
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#define CGAL_LLOYD_OPTIMIZE_MESH_3_H
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#include <CGAL/license/Mesh_3.h>
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#include <CGAL/Named_function_parameters.h>
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#include <CGAL/Mesh_3/Mesh_global_optimizer.h>
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#include <CGAL/Mesh_3/Lloyd_move.h>
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#include <CGAL/Mesh_3/Mesh_sizing_field.h>
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#include <CGAL/Mesh_optimization_return_code.h>
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#include <CGAL/Mesh_3/parameters_defaults.h>
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#include <CGAL/Mesh_3/internal/check_weights.h>
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namespace CGAL {
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/*!
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* \ingroup PkgMesh3Functions
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*
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* The function `lloyd_optimize_mesh_3()` is a mesh optimization process
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* based on the minimization of a global energy function.
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*
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* In `lloyd_optimize_mesh_3()`, the minimized global energy may be interpreted
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* as the \f$ L^1\f$-norm of the error achieved
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* when the function \f$ x^2\f$ is interpolated on the mesh domain
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* using a piecewise linear function which is linear
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* in each cell of the Voronoi diagram of the mesh vertices.
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*
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* The optimizer `lloyd_optimize_mesh_3()` works in iterative steps.
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* At each iteration, mesh vertices are moved into
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* positions that bring to zero the energy gradient
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* and the Delaunay triangulation is updated.
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* Vertices on the mesh boundaries are handled
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* in a special way so as to preserve an accurate
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* representation of the domain boundaries.
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*
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* \tparam C3T3 a model of the concept `MeshComplex_3InTriangulation_3`.
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* \tparam MD a model of the concept `MeshDomain_3`.
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* \tparam NamedParameters a sequence of \ref bgl_namedparameters "Named Parameters"
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*
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* @param c3t3 the initial mesh that will be modified by the algorithm to represent the final optimized mesh.
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* @param domain the domain used to create the `c3t3` parameter
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* @param np an optional sequence of \ref bgl_namedparameters "Named Parameters" among the ones listed below:
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*
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* \cgalNamedParamsBegin
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* \cgalParamNBegin{time_limit}
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* \cgalParamDescription{to set up, in seconds, a CPU time limit after which the optimization process is stopped.
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* This time is measured using `CGAL::Real_timer`. 0 means that there is no time limit.}
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* \cgalParamType{`double`}
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* \cgalParamPrecondition{`time_limit >= 0`}
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* \cgalParamDefault{0}
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* \cgalParamNEnd
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* \cgalParamNBegin{max_iteration_number}
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* \cgalParamDescription{limit on the number of performed iterations. 0 means that there is
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* no limit on the number of performed iterations.}
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* \cgalParamPrecondition{`max_iteration_number >=0`}
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* \cgalParamType{`int`}
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* \cgalParamDefault{0}
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* \cgalParamNEnd
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* \cgalParamNBegin{freeze_bound}
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* \cgalParamDescription{designed to reduce running time of each optimization iteration.
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* Any vertex that has a displacement less than a given fraction of the length
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* of its shortest incident edge, is frozen (i.e.\ is not relocated).
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* The parameter `freeze_bound` gives the threshold ratio.
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* If it is set to 0, freezing of vertices is disabled.}
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* \cgalParamPrecondition{`0<= freeze_bound <=1`}
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* \cgalParamType{`double`}
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* \cgalParamDefault{0.01}
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* \cgalParamNEnd
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* \cgalParamNBegin{convergence}
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* \cgalParamDescription{threshold ratio of stopping criterion based on convergence: the optimization process is stopped
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* when at the last iteration the displacement of any vertex is less than
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* a given fraction of the length of the shortest edge incident to that vertex.}
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* \cgalParamPrecondition{`0 <=convergence <= 1`}
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* \cgalParamType{`double`}
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* \cgalParamDefault{0.02}
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* \cgalParamNEnd
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* \cgalParamNBegin{do_freeze}
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* \cgalParamDescription{completes the `freeze_bound` parameter. If it is set to `true` (default value),
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* frozen vertices will not move anymore in next iterations. Otherwise, at each iteration, any vertex that
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* moves, unfreezes all its incident vertices.}
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* \cgalParamType{`bool`}
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* \cgalParamDefault{true}
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* \cgalParamNEnd
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* \cgalNamedParamsEnd
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*
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* \return a value of type `CGAL::Mesh_optimization_return_code` which is:
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* <UL>
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* <LI>`CGAL::TIME_LIMIT_REACHED` when the time limit is reached.
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* <LI>`CGAL::MAX_ITERATION_NUMBER_REACHED` when `lloyd_optimize_mesh_3()` stops because it has performed `max_iteration_number` iterations.
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* <LI>`CGAL::CONVERGENCE_REACHED` when `lloyd_optimize_mesh_3()` stops because the convergence criterion
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* is achieved.
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* <LI>`CGAL::ALL_VERTICES_FROZEN` when all vertices have been frozen, when the
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* `do_freeze` parameter is set to true.
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* <LI>`CGAL::CANT_IMPROVE_ANYMORE` when `lloyd_optimize_mesh_3()` stops because
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* most vertices have been frozen, and no better convergence can be reached.
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* </UL>
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*
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* \cgalHeading{Example}
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*
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*
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* \code{.cpp}
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* // Lloyd-smoothing until convergence reaches 0.01, freezing vertices which
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* // move less than 0.001*shortest_incident_edge_length
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* lloyd_optimize_mesh_3(c3t3,
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* domain,
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* parameters::convergence(0.01).
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* parameters::freeze_bound(0.001).
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* parameters::do_freeze(true));
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*
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* \endcode
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*
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* \sa `CGAL::Mesh_optimization_return_code`
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* \sa `CGAL::make_mesh_3()`
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* \sa `CGAL::refine_mesh_3()`
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* \sa `CGAL::exude_mesh_3()`
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* \sa `CGAL::perturb_mesh_3()`
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* \sa `CGAL::odt_optimize_mesh_3()`
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*
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* \note This function requires the \ref thirdpartyEigen library.
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*/
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template<typename C3T3, typename MeshDomain, typename CGAL_NP_TEMPLATE_PARAMETERS>
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Mesh_optimization_return_code lloyd_optimize_mesh_3(C3T3& c3t3, const MeshDomain& domain,const CGAL_NP_CLASS& np = parameters::default_values())
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{
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using parameters::choose_parameter;
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using parameters::get_parameter;
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std::size_t max_iterations = choose_parameter(get_parameter(np, internal_np::number_of_iterations), 0);
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const double convergence_ratio = choose_parameter(get_parameter(np, internal_np::convergence_ratio), parameters::default_values_for_mesh_3::lloyd_convergence_ratio);
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const double freeze_bound = choose_parameter(get_parameter(np, internal_np::vertex_freeze_bound), parameters::default_values_for_mesh_3::lloyd_freeze_ratio);
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const double time_limit = choose_parameter(get_parameter(np, internal_np::maximum_running_time), parameters::default_values_for_mesh_3::time_limit);
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bool do_freeze = choose_parameter(get_parameter(np,internal_np::freeze),true);
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return lloyd_optimize_mesh_3_impl(c3t3, domain, time_limit, max_iterations, convergence_ratio, freeze_bound, do_freeze);
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}
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#ifndef DOXYGEN_RUNNING
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// Overload handling parameters passed with operator=
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template<typename C3T3, typename MeshDomain,
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typename CGAL_NP_TEMPLATE_PARAMETERS_NO_DEFAULT_1,
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typename CGAL_NP_TEMPLATE_PARAMETERS_NO_DEFAULT_2,
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typename ... NP>
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Mesh_optimization_return_code lloyd_optimize_mesh_3(C3T3& c3t3, const MeshDomain& domain, const CGAL_NP_CLASS_1& np1, const CGAL_NP_CLASS_2& np2, const NP& ... nps)
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{
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return lloyd_optimize_mesh_3(c3t3,domain, internal_np::combine_named_parameters(np1, np2, nps...));
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}
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template <typename C3T3, typename MeshDomain>
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Mesh_optimization_return_code
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lloyd_optimize_mesh_3_impl(C3T3& c3t3,
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const MeshDomain& domain,
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const double time_limit,
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std::size_t max_iteration_number,
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const double convergence,
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const double freeze_bound
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, const bool do_freeze)
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{
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CGAL_precondition(
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!Mesh_3::internal::has_non_protecting_weights(c3t3.triangulation(), domain));
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typedef typename C3T3::Triangulation Tr;
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typedef Mesh_3::Mesh_sizing_field<Tr> Sizing;
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typedef typename Mesh_3::Lloyd_move<C3T3,Sizing> Move;
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typedef typename
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Mesh_3::Mesh_global_optimizer<C3T3,MeshDomain,Move> Lloyd_optimizer;
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// Create optimizer
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Lloyd_optimizer opt (c3t3,
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domain,
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freeze_bound,
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do_freeze,
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convergence);
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// Set max time
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opt.set_time_limit(time_limit);
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// 1000 iteration max to avoid infinite loops
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if ( 0 == max_iteration_number )
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max_iteration_number = 1000;
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// Launch optimization
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return opt(static_cast<int>(max_iteration_number));
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}
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#endif //DOXYGEN_RUNNING
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} // end namespace CGAL
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#endif // CGAL_LLOYD_OPTIMIZE_MESH_3_H
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