EnergyField class - simulated_annealing library

Constructors

EnergyField(Energy energy, SearchSpace space): Constructs an object of type EnergyField.
EnergyField.of(EnergyField energyField): Copy constructor.
factory

Properties

dimensions → int: Returns the search space dimension.
no setter
energy → Energy: Function representing the system energy.
final
hashCode → int: The hash code for this object.
no setterinherited
minPosition → List<num>: Returns the field position with the smallest energy encountered.
no setter
minValue → num: Returns the smallest energy value encountered.
no setter
position → List<num>: Returns the current field position.
no setter
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
size → List<num>: Returns the size of the energy field domain (the search space).
no setter
space → SearchSpace: The domain over which the energy function is defined. The simulated annealing algorithm will search this region for optimal solutions.
final
value → num: Returns the current value of the energy at location position.
no setter

Methods

next() → num: Returns the energy at a randomly selected point in the search space.
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
perturb(List<num> position, List<num> deltaPosition) → num: Returns the energy at a point selected randomly from the region (position - deltaPosition, position + deltaPosition).
sample({int sampleSize = 100}) → Future<List<List<num>>>: Returns an object of type List<List<num>> with length sampleSize. Each entry is obtained by listing the current position and energy.
sampleEnergy({int sampleSize = 100}) → Future<List<num>>: Returns a list of energy values sampled from the entire search space.
sampleEnergyCloseTo(List<num> position, List<num> deltaPosition, {int sampleSize = 100, bool selectUphillMoves = false}) → Future<List<num>>: Returns a list of energy values sampled from a neighbourhood around position using perturbation magnitudes deltaPosition.
tEnd(num gamma, {dynamic deltaPosition = const <num>[], int sampleSize = 200}) → Future<num>: Returns the temperature at which the expectation value of the acceptance probability of up-hill transitions approaches gamma.
toString() → String: A string representation of this object.
override
transitions(List<num> deltaPosition, {int sampleSize = 100, int maxTrials = 20}) → List<List<num>>: Returns a list containing the energy values at two positions separated at most by deltaPosition.
tStart(num gamma, {List<num> deltaPosition = const <num>[], int sampleSize = 200}) → Future<num>: Returns the temperature at which the expectation value of the acceptance probability of up-hill transitions approaches gamma.

Operators

operator ==(Object other) → bool: The equality operator.
inherited