Uses of Class
agi.foundation.numericalmethods.SolvableMultivariableFunctionResults

Packages that use SolvableMultivariableFunctionResults

Package	Description
agi.foundation.numericalmethods	Contains general numerical algorithms.
agi.foundation.numericalmethods.advanced	Contains additional advanced numerical algorithms and supporting types.

Uses of SolvableMultivariableFunctionResults in agi.foundation.numericalmethods

Subclasses of SolvableMultivariableFunctionResults in agi.foundation.numericalmethods

Modifier and Type	Class and Description
class	TargetedSegmentListFunctionResults The results that get returned when a TargetedSegmentListFunction is run.

Methods in agi.foundation.numericalmethods that return SolvableMultivariableFunctionResults

Modifier and Type	Method and Description
SolvableMultivariableFunctionResults	TargetedSegmentListFunction.evaluate(double[] variables, ITrackCalculationProgress progressTracker) Evaluates the function.
abstract SolvableMultivariableFunctionResults	SolvableMultivariableFunction.evaluate(double[] variables, ITrackCalculationProgress progressTracker) Evaluates the function.
SolvableMultivariableFunctionResults	MultivariableFunctionSolverIterationResults.getFunctionResult() Gets the results from the Function (get / set).
SolvableMultivariableFunctionResults[]	NumericallyComputedMultivariableFunctionDerivativeResults.getFunctionResultsUsedToComputeDerivative() Gets the results of the function that were computed at the perturbed values of the variables.
SolvableMultivariableFunctionResults	MultivariableFunctionSolverIterationResults.getPerturbedResults(int index) Gets the results of the Function (get / set) when the variable with the same index in the MultivariableFunctionSolver was perturbed for this iteration.
SolvableMultivariableFunctionResults	SolverFunctionEvaluatedEventArgs.getResults() Gets the SolvableMultivariableFunctionResults from the MultivariableFunctionSolver that raised the event.
SolvableMultivariableFunctionResults	NumericallyComputedMultivariableFunctionDerivativeResults.getValue() Gets the results of the function at the nominal values of the variables.

Methods in agi.foundation.numericalmethods that return types with arguments of type SolvableMultivariableFunctionResults

Modifier and Type	Method and Description
MultivariableFunctionSolverStepResult<SolvableMultivariableFunctionResults,SolvableMultivariableFunctionDerivativeResults>	NewtonRaphsonMultivariableFunctionSolver.computeNextStep(double[] variableValues, ITrackCalculationProgress progressTracker) Computes the next differential step that this differential corrector should take.
abstract MultivariableFunctionSolverStepResult<SolvableMultivariableFunctionResults,SolvableMultivariableFunctionDerivativeResults>	MultivariableFunctionDifferentialSolver.computeNextStep(double[] variableValues, ITrackCalculationProgress progressTracker) Computes the next differential step that this differential corrector should take.
MultivariableFunctionEvaluationAndDerivativeResults<SolvableMultivariableFunctionResults,SolvableMultivariableFunctionDerivativeResults>	SolvableMultivariableFunction.evaluate(double[] variables, int order, boolean multithreaded, ITrackCalculationProgress progressTracker) Evaluates the function and the Jacobian.

Methods in agi.foundation.numericalmethods with parameters of type SolvableMultivariableFunctionResults

Modifier and Type	Method and Description
void	TargetedSegmentListFunction.applyResults(SolvableMultivariableFunctionResults results) For SolvableMultivariableFunctions that have state, there may be times when that state should be manually set on a function (sometimes for performance reasons, when the function will be called multiple times and it should start from where it left off).
void	SolvableMultivariableFunction.applyResults(SolvableMultivariableFunctionResults results) For SolvableMultivariableFunctions that have state, there may be times when that state should be manually set on a function (sometimes for performance reasons, when the function will be called multiple times and it should start from where it left off).
SolvableMultivariableFunctionDerivativeResults	SolvableMultivariableFunction.evaluateDerivative(double[] variables, boolean multithreaded, SolvableMultivariableFunctionResults valueResults, ITrackCalculationProgress progressTracker) Evaluates the Jacobian of this function.

Constructors in agi.foundation.numericalmethods with parameters of type SolvableMultivariableFunctionResults

Constructor and Description
MultivariableFunctionSolverIterationResults(SolvableMultivariableFunctionResults functionResult, SolvableMultivariableFunctionDerivativeResults derivativeResults, int iteration, SolverVariableSettings[] variableSettings, SolverConstraintSettings[] constraintSettings) Initializes a new instance.
NumericallyComputedMultivariableFunctionDerivativeResults(SolvableMultivariableFunctionResults value, double[][] jacobian, SolvableMultivariableFunctionResults[] perturbedResultsUsedToComputeDerivative, boolean validPerturbations, FiniteDifferenceMethod differenceMethod) Initializes a new instance.
NumericallyComputedMultivariableFunctionDerivativeResults(SolvableMultivariableFunctionResults value, double[][] jacobian, SolvableMultivariableFunctionResults[] perturbedResultsUsedToComputeDerivative, boolean validPerturbations, FiniteDifferenceMethod differenceMethod) Initializes a new instance.
SolvableMultivariableFunctionResults(SolvableMultivariableFunctionResults existingInstance, CopyContext context) Initializes a new instance as a copy of an existing instance.
SolverFunctionEvaluatedEventArgs(SolvableMultivariableFunctionResults result) Initializes a new instance.

Uses of SolvableMultivariableFunctionResults in agi.foundation.numericalmethods.advanced

Methods in agi.foundation.numericalmethods.advanced with parameters of type SolvableMultivariableFunctionResults

Modifier and Type	Method and Description
static NumericallyComputedMultivariableFunctionDerivativeResults	SolvableMultivariableFunctionOperations.computeJacobianNumerically(SolvableMultivariableFunction function, double[] variables, double[] perturbationValues, FiniteDifferenceMethod differenceMethod, boolean multithreaded, SolvableMultivariableFunctionResults precomputedValueResults, ITrackCalculationProgress progressTracker) Computes the Jacobian of a SolvableMultivariableFunction numerically.