Uses of Class
agi.foundation.numericalmethods.OptimizerMultivariableFunction

Packages that use OptimizerMultivariableFunction

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

Uses of OptimizerMultivariableFunction in agi.foundation.numericalmethods

Subclasses of OptimizerMultivariableFunction in agi.foundation.numericalmethods

Modifier and Type	Class and Description
class	TargetedSegmentListOptimizerFunction A OptimizerMultivariableFunction that can be used in a ParameterOptimizer to optimize an arbitrary trajectory or other state elements based on the variables, the cost function, the equality constraints, and the inequality constraints.

Methods in agi.foundation.numericalmethods that return OptimizerMultivariableFunction

Modifier and Type	Method and Description
OptimizerMultivariableFunction	ParameterOptimizer.getFunction() Gets the function to solve.

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

Modifier and Type	Method and Description
static NumericallyComputedOptimizerFunctionDerivativeResults	OptimizerMultivariableFunction.computeGradientsNumerically(OptimizerMultivariableFunction function, double[] variables, double[] perturbationValues, FiniteDifferenceMethod differenceMethod, boolean multithreaded, OptimizerMultivariableFunctionResults precomputedValueResults, ITrackCalculationProgress progressTracker) Computes the gradients of an OptimizerMultivariableFunction numerically.
void	ParameterOptimizer.setFunction(OptimizerMultivariableFunction value) Sets the function to solve.

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

Constructor and Description
OptimizerMultivariableFunction(OptimizerMultivariableFunction existingInstance, CopyContext context) Initializes a new instance as a copy of an existing instance.