Uses of Class
net.sf.tweety.math.term.Variable

Packages that use Variable

Package	Description
net.sf.tweety.math.opt
net.sf.tweety.math.opt.solver
net.sf.tweety.math.term

Uses of Variable in net.sf.tweety.math.opt

Methods in net.sf.tweety.math.opt that return types with arguments of type Variable

Modifier and Type	Method and Description
Map<Variable,Term>	RootFinder.getStartingPoint() Returns the starting point of this finder.
Set<Variable>	ConstraintSatisfactionProblem.getVariables() Returns all variables of this problem.
Set<Variable>	OptimizationProblem.getVariables()
Map<Variable,Term>	NewtonRootFinder.randomRoot()
Map<Variable,Term>	BfgsRootFinder.randomRoot()
Map<Variable,Term>	GradientDescentRootFinder.randomRoot()
Map<Variable,Term>	HessianGradientDescentRootFinder.randomRoot()
Map<Variable,Term>	OpenOptRootFinder.randomRoot()
Map<Variable,Term>	LbfgsRootFinder.randomRoot()
abstract Map<Variable,Term>	OptimizationRootFinder.randomRoot()
abstract Map<Variable,Term>	RootFinder.randomRoot() Determines the values for the variables appearing in the function such the function evaluates to zero.
abstract Map<Variable,Term>	Solver.solve(ConstraintSatisfactionProblem problem) Computes a solution to the given constraint satisfaction or optimization problem, i.e.

Method parameters in net.sf.tweety.math.opt with type arguments of type Variable

Modifier and Type	Method and Description
void	RootFinder.setStartingPoint(Map<Variable,Term> startingPoint) sets the starting point of this root finder.

Constructor parameters in net.sf.tweety.math.opt with type arguments of type Variable

Constructor and Description
BfgsRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
BfgsRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
GradientDescentRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
GradientDescentRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
HessianGradientDescentRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
HessianGradientDescentRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
LbfgsRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
LbfgsRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
NewtonRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new Newton root finder for the given starting point and the given (multi-dimensional) function
NewtonRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new Newton root finder for the given starting point and the given function
OpenOptRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
OpenOptRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
OptimizationRootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
OptimizationRootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function
RootFinder(List<Term> functions, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
RootFinder(Term function, Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function

Uses of Variable in net.sf.tweety.math.opt.solver

Methods in net.sf.tweety.math.opt.solver that return types with arguments of type Variable

Modifier and Type	Method and Description
protected Map<Variable,Term>	OpenOptSolver.parseOutput(String output) This method parses the output data of an OpenOpt run
Map<Variable,Term>	HessianGradientDescent.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	ApacheCommonsSimplex.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	ApacheCommonsCMAESOptimizer.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	OpenOptWebSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	LpSolve.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	OctaveSqpSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	LbfgsSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	SimpleGeneticOptimizationSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	LagrangeSolver.solve(ConstraintSatisfactionProblem prob)
Map<Variable,Term>	BfgsSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	OpenOptSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	GlpkSolver.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	GradientDescent.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	ApacheCommonsNonLinearConjugateGradientOptimizer.solve(ConstraintSatisfactionProblem problem)
Map<Variable,Term>	ApacheCommonsCMAESOptimizer.solve(Term t, int optimization_type) Returns the variable assignment that maximizes/minimizes the given term (which only contains variables with defined upper and lower bounds).
Map<Variable,Term>	SimpleGeneticOptimizationSolver.solve(Term t, int optimization_objective) Returns the variable assignment that maximizes/minimizes the given term (which only contains variables with defined upper and lower bounds).

Constructor parameters in net.sf.tweety.math.opt.solver with type arguments of type Variable

Constructor and Description
BfgsSolver(Map<Variable,Term> startingPoint)
GradientDescent(Map<Variable,Term> startingPoint) Creates a new gradient descent solver
HessianGradientDescent(Map<Variable,Term> startingPoint)
LagrangeSolver(Map<Variable,Term> startingPoint) Creates a new Lagrange solver for the given optimization problem
LagrangeSolver(Set<Map<Variable,Term>> startingPoints) Creates a new Lagrange solver for the given optimization problem
LbfgsSolver(Map<Variable,Term> startingPoint)
OpenOptSolver(Map<Variable,Term> startingPoint) Creates a new solver for the given problem.

Uses of Variable in net.sf.tweety.math.term

Subclasses of Variable in net.sf.tweety.math.term

Modifier and Type	Class and Description
class	BinaryVariable This class models a binary variable as a mathematical term.
class	FloatVariable This class models an float variable as a mathematical term.
class	IntegerVariable This class models an integer variable as a mathematical term.

Methods in net.sf.tweety.math.term that return types with arguments of type Variable

Modifier and Type	Method and Description
Set<Variable>	Variable.getVariables()
Set<Variable>	FunctionalTerm.getVariables()
abstract Set<Variable>	Term.getVariables() Returns all variables in this term.
Set<Variable>	Difference.getVariables()
Set<Variable>	AssociativeOperation.getVariables()
Set<Variable>	Fraction.getVariables()
Set<Variable>	Constant.getVariables()

Methods in net.sf.tweety.math.term with parameters of type Variable

Modifier and Type	Method and Description
Term	Variable.derive(Variable v)
abstract Term	Term.derive(Variable v) Differentiates the term with respect to the given variable.
Term	Product.derive(Variable v)
Term	Difference.derive(Variable v)
Term	Minimum.derive(Variable v)
Term	Sum.derive(Variable v)
Term	Maximum.derive(Variable v)
Term	Root.derive(Variable v)
Term	Exp.derive(Variable v)
Term	Fraction.derive(Variable v)
Term	AbsoluteValue.derive(Variable v)
Term	Logarithm.derive(Variable v)
Term	Constant.derive(Variable v)
Term	Power.derive(Variable v)
boolean	Variable.isContinuous(Variable v)
abstract boolean	Term.isContinuous(Variable v) Checks whether this term is continuous in v.
boolean	Product.isContinuous(Variable v)
boolean	Difference.isContinuous(Variable v)
boolean	Minimum.isContinuous(Variable v)
boolean	Sum.isContinuous(Variable v)
boolean	Maximum.isContinuous(Variable v)
boolean	Root.isContinuous(Variable v)
boolean	Exp.isContinuous(Variable v)
boolean	Fraction.isContinuous(Variable v)
boolean	AbsoluteValue.isContinuous(Variable v)
boolean	Logarithm.isContinuous(Variable v)
boolean	Constant.isContinuous(Variable v)
boolean	Power.isContinuous(Variable v)

Method parameters in net.sf.tweety.math.term with type arguments of type Variable

Modifier and Type	Method and Description
static double[][]	Term.evaluateMatrix(List<List<Term>> functions, double[] values, List<Variable> variables) Evaluates each function in the given matrix with the given values for variables.
static double[]	Term.evaluateVector(List<Term> functions, double[] values, List<Variable> variables) Evaluates each function in the given list with the given values for variables.
static List<Double>	Term.evaluateVector(List<Term> functions, Map<Variable,? extends Term> mapping) Evaluates each function in the given list with the given values for variables.
Term	Term.replaceAllTerms(double[] values, List<Variable> variables) Replaces terms according to the given map.