Class ProbabilityAlwaysDownhill

Namespace

NanoQL.Experimental

Assembly

NanoQL.dll

A probability that accepts only the points that improve on the current one: depending on the problem, the optimizer is then very unlikely to escape a local optimum: QuantLib's ProbabilityAlwaysDownhill.

[Experimental("NQL0001")]
public sealed class ProbabilityAlwaysDownhill : IAnnealingProbability<ProbabilityAlwaysDownhill>

Inheritance

object

ProbabilityAlwaysDownhill

Implements

IAnnealingProbability<ProbabilityAlwaysDownhill>

Inherited Members

object.GetType()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Constructors

ProbabilityAlwaysDownhill()

public ProbabilityAlwaysDownhill()

Methods

Accept(double, double, Vector)

Whether the new point is accepted (QuantLib's operator()).

public bool Accept(double currentValue, double newValue, Vector temp)

Parameters

currentValue double

The current point's value.

newValue double

The new point's value.

temp Vector

Each dimension's temperature.

Returns

bool

true to accept it.

Clone()

A copy, its state included: the copy's next call equals this probability's.

public ProbabilityAlwaysDownhill Clone()

Returns

ProbabilityAlwaysDownhill

The copy.