Uses of Class
xal.extension.solver.Problem

Packages that use Problem

Package	Description
xal.extension.solver
xal.extension.solver.algorithm
xal.extension.solver.market

Uses of Problem in xal.extension.solver

Fields in xal.extension.solver declared as Problem

Modifier and Type	Field	Description
protected Problem	AlgorithmSchedule.problem	the problem to solve
protected Problem	Solver.problem	The problem to solve
protected final Problem	Trial.problem	the problem being solved

Methods in xal.extension.solver that return Problem

Modifier and Type	Method	Description
static Problem	ProblemFactory.getAcceleratingProblem(List<Variable> variables, Scorer scorer, double minScore, double maxScore, double endSlope)	Generate a problem which uses an accelerating satisfaction curve over the specified score range
static Problem	ProblemFactory.getDeceleratingProblem(List<Variable> variables, Scorer scorer, double minScore, double maxScore, double startSlope)	Generate a problem which uses a decelerating satisfaction curve over the specified score range
static Problem	ProblemFactory.getInverseSquareMaximizerProblem(List<Variable> variables, Scorer scorer, double tolerance)	Generate a problem which seeks to maximize the score which is in a range of zero to infinity
static Problem	ProblemFactory.getInverseSquareMinimizerProblem(List<Variable> variables, Scorer scorer, double tolerance)	Generate a problem which seeks to minimize the score which is in a range of zero to infinity
static Problem	ProblemFactory.getLinearMaximizerProblem(List<Variable> variables, Scorer scorer, double minScore, double maxScore)	Generate a problem which uses a linear rising satisfaction curve over the specified score range
static Problem	ProblemFactory.getLinearMinimizerProblem(List<Variable> variables, Scorer scorer, double minScore, double maxScore)	Generate a problem which uses a linear falling satisfaction curve over the specified score range
Problem	Solver.getProblem()	Get the problem.
Problem	Trial.getProblem()	Get the problem.
static Problem	ProblemFactory.getSCurveProblem(List<Variable> variables, Scorer scorer, double slope)	Generate a problem which uses an S-curve satisfaction curve over the range of negative infinity to positive infinity with center at zero
static Problem	ProblemFactory.getSCurveProblem(List<Variable> variables, Scorer scorer, double center, double slope)	Generate a problem which uses an S-curve satisfaction curve over the range of negative infinity to positive infinity

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

Modifier and Type	Method	Description
void	AlgorithmPool.setProblem(Problem problem)	Assign the problem to each algorithm in the pool.
void	AlgorithmSchedule.setProblem(Problem problem)	Assign a new problem.
void	Solver.setProblem(Problem problem)	Set the problem.
void	Solver.solve(Problem problem)	Solve the problem.

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

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

Uses of Problem in xal.extension.solver.algorithm

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

Modifier and Type	Field	Description
protected Problem	SearchAlgorithm.problem	the problem to solve

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

Modifier and Type	Method	Description
void	SearchAlgorithm.setProblem(Problem problem)	Assign a new problem.
void	SimplexSearchAlgorithm.setProblem(Problem problem)	Set the specified problem to solve.

Constructors in xal.extension.solver.algorithm with parameters of type Problem

Modifier	Constructor	Description
	InitialAlgorithm(Problem problem)	Constructor

Uses of Problem in xal.extension.solver.market

Methods in xal.extension.solver.market with parameters of type Problem

Modifier and Type	Method	Description
void	AlgorithmMarket.setProblem(Problem problem)	Assign a new problem.