Uses of Class
agi.foundation.numericalmethods.SolvableMultivariableFunctionDerivativeResults

Packages that use SolvableMultivariableFunctionDerivativeResults

Package	Description
agi.foundation.numericalmethods	Contains general numerical algorithms.

Uses of SolvableMultivariableFunctionDerivativeResults in agi.foundation.numericalmethods

Subclasses of SolvableMultivariableFunctionDerivativeResults in agi.foundation.numericalmethods

Modifier and Type	Class and Description
class	NumericallyComputedMultivariableFunctionDerivativeResults The results of an evaluation of the derivative of a SolvableMultivariableFunction when that evaluation was done with a numerical algorithm.

Methods in agi.foundation.numericalmethods that return SolvableMultivariableFunctionDerivativeResults

Modifier and Type	Method and Description
SolvableMultivariableFunctionDerivativeResults	SolvableMultivariableFunction.evaluateDerivative(double[] variables, boolean multithreaded, ITrackCalculationProgress progressTracker) Evaluates the Jacobian of this function.
SolvableMultivariableFunctionDerivativeResults	SolvableMultivariableFunction.evaluateDerivative(double[] variables, boolean multithreaded, SolvableMultivariableFunctionResults valueResults, ITrackCalculationProgress progressTracker) Evaluates the Jacobian of this function.
SolvableMultivariableFunctionDerivativeResults	MultivariableFunctionSolverIterationResults.getDerivativeResults() Gets the results of the evaluation of the function's derivative.
SolvableMultivariableFunctionDerivativeResults	SolverFunctionDerivativeEvaluatedEventArgs.getResults() Gets the SolvableMultivariableFunctionDerivativeResults from the MultivariableFunctionSolver that raised the event.

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

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 SolvableMultivariableFunctionDerivativeResults

Modifier and Type	Method and Description
protected void	SolvableMultivariableFunction.callDerivativeEvaluationEvent(SolvableMultivariableFunctionDerivativeResults derivativeResults) Calls the DerivativeEvaluationEvent (add / remove).

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

Constructor and Description
MultivariableFunctionSolverIterationResults(SolvableMultivariableFunctionResults functionResult, SolvableMultivariableFunctionDerivativeResults derivativeResults, int iteration, SolverVariableSettings[] variableSettings, SolverConstraintSettings[] constraintSettings) Initializes a new instance.
SolvableMultivariableFunctionDerivativeResults(SolvableMultivariableFunctionDerivativeResults existingInstance, CopyContext context) Initializes a new instance as a copy of an existing instance.
SolverFunctionDerivativeEvaluatedEventArgs(SolvableMultivariableFunctionDerivativeResults results) Initializes a new instance.