#include <tuple>
#include <functional>
#include <limits>
#include <libnest2d/common.hpp>

Include dependency graph for optimizer.hpp:

This graph shows which files directly or indirectly include this file:

Classes
struct	libnest2d::opt::limits< T, B >
	A Type trait for upper and lower limit of a numeric type. More...

struct	libnest2d::opt::limits< T, enable_if_t< std::numeric_limits< T >::has_infinity, void > >

class	libnest2d::opt::Bound< T >
	An interval of possible input values for optimization. More...

struct	libnest2d::opt::Result< Args >
	A type to hold the complete result of the optimization. More...

struct	libnest2d::opt::StopCriteria
	A type for specifying the stop criteria. More...

class	libnest2d::opt::Optimizer< Subclass >
	The Optimizer base class with CRTP pattern. More...

class	libnest2d::opt::DummyOptimizer< T >

struct	libnest2d::opt::OptimizerSubclass< m >

Typedefs
template<class... Args>
using	libnest2d::opt::Input = tuple< Args... >

template<Method m>
using	libnest2d::opt::TOptimizer = typename OptimizerSubclass< m >::Type
	Optimizer type based on the method provided in parameter m.

Enumerations
enum class	libnest2d::opt::Method { libnest2d::opt::L_SIMPLEX , libnest2d::opt::L_SUBPLEX , libnest2d::opt::G_GENETIC , libnest2d::opt::G_PARTICLE_SWARM }
	Specific optimization methods for which a default optimizer implementation can be instantiated. More...

enum	libnest2d::opt::ResultCodes { libnest2d::opt::FAILURE = -1 , libnest2d::opt::INVALID_ARGS = -2 , libnest2d::opt::OUT_OF_MEMORY = -3 , libnest2d::opt::ROUNDOFF_LIMITED = -4 , libnest2d::opt::FORCED_STOP = -5 , libnest2d::opt::SUCCESS = 1 , libnest2d::opt::STOPVAL_REACHED = 2 , libnest2d::opt::FTOL_REACHED = 3 , libnest2d::opt::XTOL_REACHED = 4 , libnest2d::opt::MAXEVAL_REACHED = 5 , libnest2d::opt::MAXTIME_REACHED = 6 }
	Info about result of an optimization. These codes are exactly the same as the nlopt codes for convinience. More...

Functions
template<class T >
Bound< T >	libnest2d::opt::bound (const T &min, const T &max)

template<class... Args>
tuple< Args... >	libnest2d::opt::initvals (Args...args)

template<Method m>
TOptimizer< m >	libnest2d::opt::GlobalOptimizer (Method, const StopCriteria &scr={})
	Global optimizer with an explicitly specified local method.

Class Documentation

◆ libnest2d::opt::Result

struct libnest2d::opt::Result

template<class... Args>
struct libnest2d::opt::Result< Args >

A type to hold the complete result of the optimization.

Collaboration diagram for libnest2d::opt::Result< Args >:

struct libnest2d::opt::StopCriteria

A type for specifying the stop criteria.

Class Members
double	absolute_score_difference = std::nan("")	If the absolute value difference between two scores.
unsigned	max_iterations = 0	The max allowed number of iterations.
double	relative_score_difference = std::nan("")	If the relative value difference between two scores.
function< bool()>	stop_condition = [] { return false; }	A predicate that if evaluates to true, the optimization should terminate and the best result found prior to termination should be returned.
double	stop_score = std::nan("")	Stop if this value or better is found.

struct libnest2d::opt::OptimizerSubclass

template<Method m>
struct libnest2d::opt::OptimizerSubclass< m >

Class Members
typedef DummyOptimizer<>	Type