NumericallyComputedOptimizerFunctionDerivativeResults Constructor (OptimizerMultivariableFunctionResults, Double[], Double[][], Double[][], OptimizerMultivariableFunctionResults[], FiniteDifferenceMethod)

NumericallyComputedOptimizerFunctionDerivativeResults Constructor (OptimizerMultivariableFunctionResults, Double, Double, Double, OptimizerMultivariableFunctionResults, FiniteDifferenceMethod)

Initializes a new instance.

Namespace: AGI.Foundation.NumericalMethods
Assembly: AGI.Foundation.Core (in AGI.Foundation.Core.dll) Version: 24.1.418.0 (24.1.418.0)

Syntax

C++

Copy

public NumericallyComputedOptimizerFunctionDerivativeResults(
	OptimizerMultivariableFunctionResults value,
	double[] costFunctionGradient,
	double[][] equalityConstraintGradients,
	double[][] inequalityConstraintGradients,
	OptimizerMultivariableFunctionResults[] perturbedResultsUsedToComputeDerivative,
	FiniteDifferenceMethod differenceMethod
)

Public Sub New ( 
	value As OptimizerMultivariableFunctionResults,
	costFunctionGradient As Double(),
	equalityConstraintGradients As Double()(),
	inequalityConstraintGradients As Double()(),
	perturbedResultsUsedToComputeDerivative As OptimizerMultivariableFunctionResults(),
	differenceMethod As FiniteDifferenceMethod
)

public:
NumericallyComputedOptimizerFunctionDerivativeResults(
	OptimizerMultivariableFunctionResults^ value, 
	array<double>^ costFunctionGradient, 
	array<array<double>^>^ equalityConstraintGradients, 
	array<array<double>^>^ inequalityConstraintGradients, 
	array<OptimizerMultivariableFunctionResults^>^ perturbedResultsUsedToComputeDerivative, 
	FiniteDifferenceMethod differenceMethod
)

new : 
        value : OptimizerMultivariableFunctionResults * 
        costFunctionGradient : float[] * 
        equalityConstraintGradients : float[][] * 
        inequalityConstraintGradients : float[][] * 
        perturbedResultsUsedToComputeDerivative : OptimizerMultivariableFunctionResults[] * 
        differenceMethod : FiniteDifferenceMethod -> NumericallyComputedOptimizerFunctionDerivativeResults

Parameters

value: Type: AGI.Foundation.NumericalMethodsOptimizerMultivariableFunctionResults
The value of the function at the nominal variable values. This may be if the routine that computed these results did not compute the value of the function.
costFunctionGradient: Type: SystemDouble
The gradient of the cost function evaluated at the variables of the value.
equalityConstraintGradients: Type: SystemDouble
The gradients of the equality constraints evaluated at the variables of the value.
inequalityConstraintGradients: Type: SystemDouble
The gradients of the inequality constraints evaluated at the variables of the value.
perturbedResultsUsedToComputeDerivative: Type: AGI.Foundation.NumericalMethodsOptimizerMultivariableFunctionResults
The evaluations of the function used to compute the gradients.
differenceMethod: Type: AGI.Foundation.NumericalMethodsFiniteDifferenceMethod
What difference method was used to compute these results.

Reference

NumericallyComputedOptimizerFunctionDerivativeResults Class

NumericallyComputedOptimizerFunctionDerivativeResults Overload

AGI.Foundation.NumericalMethods Namespace