Uses of Class
xal.extension.solver.TrialPoint

Packages that use TrialPoint

Package	Description
xal.extension.jels.matcher
xal.extension.solver
xal.extension.solver.algorithm

Uses of TrialPoint in xal.extension.jels.matcher

Methods in xal.extension.jels.matcher with parameters of type TrialPoint

Modifier and Type	Method	Description
EnvelopeProbe	InitialBeamParameters.getProbe(TrialPoint trialPoint)
void	OnlineModelEvaluator.printSolution(String file, TrialPoint trial)

Uses of TrialPoint in xal.extension.solver

Subclasses of TrialPoint in xal.extension.solver

Modifier and Type	Class	Description
class	MutableTrialPoint	MutableTrialPoint

Fields in xal.extension.solver declared as TrialPoint

Modifier and Type	Field	Description
protected final TrialPoint	Trial.trialPoint	trial point of variable values

Methods in xal.extension.solver that return TrialPoint

Modifier and Type	Method	Description
TrialPoint	Problem.generateInitialTrialPoint()	Generate a new trial point based on the initial values of the variables.
TrialPoint	MutableTrialPoint.getTrialPoint()	Get an immutable copy of this trial point.
TrialPoint	Trial.getTrialPoint()	Get the trial point.
TrialPoint	TrialVeto.getTrialPoint()	Get the trial point to be tested.

Methods in xal.extension.solver with parameters of type TrialPoint

Modifier and Type	Method	Description
Trial	AlgorithmSchedule.evaluateTrialPoint(SearchAlgorithm searchAlgorithm, TrialPoint trialPoint)	Evaluate the specified trial point or return null if the run has been terminated.

Constructors in xal.extension.solver with parameters of type TrialPoint

Modifier	Constructor	Description
	MutableTrialPoint(TrialPoint trialPoint)	Copy constructor.
	Trial(Problem problem, TrialPoint trialPoint)	Constructor.
	Trial(Problem problem, TrialPoint trialPoint, SearchAlgorithm algorithm)	Primary Constructor.
	TrialPoint(TrialPoint trialPoint)	Copy constructor.

Uses of TrialPoint in xal.extension.solver.algorithm

Fields in xal.extension.solver.algorithm declared as TrialPoint

Modifier and Type	Field	Description
protected TrialPoint	RandomShrinkSearch.bestPoint	The current best point.

Methods in xal.extension.solver.algorithm that return TrialPoint

Modifier and Type	Method	Description
TrialPoint	RandomShrinkSearch.RandomSearcher.nextPoint()	Get the next trial point.
TrialPoint	RandomShrinkSearch.RandomSearcher.nextPoint(int expectedNumToChange)	Get the next trial point given the expected number of variables to change.
TrialPoint	InitialAlgorithm.nextTrialPoint()	Return the next trial point.
TrialPoint	RandomSearch.nextTrialPoint()	Return the next trial point.
TrialPoint	RandomShrinkSearch.nextTrialPoint()	Calculate and get the next trial point to evaluate.
TrialPoint	RandomShrinkSearch.RandomSearcher.nextTrialPoint()	Get the next trial point.
TrialPoint	RandomShrinkSearch.Searcher.nextTrialPoint()	Get the next trial point.
protected static TrialPoint	DirectedStep.trialPointAlongGradient(double[] gradient, TrialPoint originPoint, double scale, List<Variable> variables)	Get a new trial point along the gradient.

Methods in xal.extension.solver.algorithm with parameters of type TrialPoint

Modifier and Type	Method	Description
protected double[]	DirectedStep.calculateVector(TrialPoint originPoint, TrialPoint targetPoint)	Calculate the vector from the origin point to the target point
Trial	SearchAlgorithm.evaluateTrialPoint(TrialPoint trialPoint)	Evaluate the given trial point.
void	RandomShrinkSearch.ComboSearcher.newTopSolution(TrialPoint oldPoint, TrialPoint newPoint)	An event indicating that a new solution has been found which is better than the previous best solution according to the score given by the evaluator.
void	RandomShrinkSearch.RandomSearcher.newTopSolution(TrialPoint oldPoint, TrialPoint newPoint)	An event indicating that a new solution has been found which is better than the previous best solution according to the score given by the evaluator.
void	RandomShrinkSearch.Searcher.newTopSolution(TrialPoint oldPoint, TrialPoint newPoint)	An event indicating that a new solution has been found which is better than the previous best solution according to the score given by the evaluator.
void	RandomShrinkSearch.ShrinkSearcher.newTopSolution(TrialPoint oldPoint, TrialPoint newPoint)	An event indicating that a new solution has been found which is better than the previous best solution according to the score given by the evaluator.
void	RandomShrinkSearch.ShrinkSearcher.shiftWindow(TrialPoint newPoint)
protected static TrialPoint	DirectedStep.trialPointAlongGradient(double[] gradient, TrialPoint originPoint, double scale, List<Variable> variables)	Get a new trial point along the gradient.