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: 25.1.421.0 (25.1.421.0)

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

Reference

NumericallyComputedOptimizerFunctionDerivativeResults Class

NumericallyComputedOptimizerFunctionDerivativeResults Overload

AGI.Foundation.NumericalMethods Namespace