DME Component Libraries for .NET 2024 r2

Library Reference

AGI.Foundation.NumericalMethods

ActiveSetSequentialQuadraticProgrammingOptimizer Class

ActiveSetSequentialQuadraticProgrammingOptimizer.ConvergenceChecker Delegate

BulirschStoerIntegrator Class

CombinedCostFunction Class

CostFunctionGoal Enumeration

CostFunctionScaling Class

CostFunctionSettings Class

Covariance3By3SizeAndOrientationInterpolator Class

Covariance6By6TwoBodyBlender Class

CubicRealPolynomial Class

DelegateBasedConstraint Class

DelegateBasedConstraintCallback Delegate

DelegateBasedCostFunction Class

DelegateBasedCostFunctionCallback Delegate

DelegateBasedInequalityConstraint Class

DelegateBasedInequalityConstraintCallback Delegate

DelegateBasedVariable(T) Class

DerivativeMode Enumeration

DoubleExtremumFoundEventArgs Class

DoubleExtremumIndicatedEventArgs Class

DoubleFunctionDetails Class

DoubleFunctionExplorer Class

DoubleFunctionSampledEventArgs Class

DoubleFunctionSampling Class

DoubleFunctionThresholdDetails Class

DoubleMotionInterpolator Class

DoubleSampleSuggestionCallback Delegate

DoubleSimpleFunction Delegate

DoubleThresholdCrossingFoundEventArgs Class

DoubleThresholdCrossingIndicatedEventArgs Class

DurationExtremumFoundEventArgs Class

DurationExtremumIndicatedEventArgs Class

DurationFunctionDetails Class

DurationFunctionExplorer Class

DurationFunctionSampledEventArgs Class

DurationFunctionSampling Class

DurationFunctionThresholdDetails Class

DurationSampleSuggestionCallback Delegate

DurationSimpleFunction Delegate

DurationThresholdCrossingFoundEventArgs Class

DurationThresholdCrossingIndicatedEventArgs Class

EndsOfSegment Enumeration

ExtremeValueOfSegmentConstraint Class

ExtremeValueOfSegmentCostFunction Class

ExtremeValueOfSegmentInequalityConstraint Class

ExtremumType Enumeration

FiniteDifferenceMethod Enumeration

FunctionSegmentSlope Enumeration

GaussJacksonCorrectionMode Enumeration

GaussJacksonIntegrator Class

InequalityBoundType Enumeration

InequalityConstraintScaling Class

InequalityConstraintSettings Class

IntegrationSense Enumeration

InterpolationAlgorithmType Enumeration

JulianDateExtremumFoundEventArgs Class

JulianDateExtremumIndicatedEventArgs Class

JulianDateFunctionDetails Class

JulianDateFunctionExplorer Class

JulianDateFunctionSampledEventArgs Class

JulianDateFunctionSampling Class

JulianDateFunctionThresholdDetails Class

JulianDateSampleSuggestionCallback Delegate

JulianDateSimpleFunction Delegate

JulianDateThresholdCrossingFoundEventArgs Class

JulianDateThresholdCrossingIndicatedEventArgs Class

KindOfStepSize Enumeration

MultivariableFunctionDifferentialSolver Class

MultivariableFunctionEvaluationAndDerivativeResults(TResults, TDerivativeResults) Class

MultivariableFunctionSolver Class

MultivariableFunctionSolverIterationResults Class

MultivariableFunctionSolverResults(TIterationResults) Class

MultivariableFunctionSolverStepResult(TResults, TDerivativeResults) Class

NewtonRaphsonMultivariableFunctionSolver Class

NoScalingOnConstraint Class

NoScalingOnCostFunction Class

NoScalingOnInequalityConstraint Class

NoScalingOnVariable Class

NumericalIntegrator Class

NumericallyComputedMultivariableFunctionDerivativeResults Class

NumericallyComputedOptimizerFunctionDerivativeResults Class

OptimizerFunctionDerivativeEvaluatedEventArgs Class

OptimizerFunctionEvaluatedEventArgs Class

OptimizerMultivariableFunction Class

OptimizerMultivariableFunctionDerivativeResults Class

OptimizerMultivariableFunctionResults Class

ParameterizedDateVariable Class

ParameterizedDoubleVariable Class

ParameterizedDurationVariable Class

ParameterizedScalarVariable Class

ParameterOptimizer Class

ParameterOptimizerIterationResults Class

QuadraticRealPolynomial Class

QuarticRealPolynomial Class

RealValuedScalarFunction Delegate

RealValuedScalarFunction(T) Delegate

RealValuedScalarFunctionAdapter(T) Class

ReciprocalOfBoundValueScalingOnInequalityConstraint Class

ReciprocalOfDesiredValueScalingOnConstraint Class

ReciprocalOfInitialValueScalingOnVariable Class

ReciprocalOfToleranceScalingOnConstraint Class

ReciprocalOfToleranceScalingOnCostFunction Class

ReciprocalOfToleranceScalingOnInequalityConstraint Class

ReciprocalOfToleranceScalingOnVariable Class

RotationalMotionInterpolator Class

RungeKutta4Integrator Class

RungeKuttaCashKarp45Integrator Class

RungeKuttaFehlberg78Integrator Class

RungeKuttaVerner89Integrator Class

ScalarAtEndOfNumericalSegmentConstraint Class

ScalarAtEndOfSegmentConstraint Class

ScalarAtEndOfSegmentCostFunction Class

ScalarAtEndOfSegmentInequalityConstraint Class

ScalarConstraintDifference Enumeration

ScalarDifferenceOfSegmentConstraint Class

ScalarDifferenceOfSegmentCostFunction Class

ScalarDifferenceOfSegmentInequalityConstraint Class

SegmentPropagatorConstraint Class

SegmentPropagatorConstraintEvaluator Class

SegmentPropagatorCostFunction Class

SegmentPropagatorCostFunctionEvaluator Class

SegmentPropagatorInequalityConstraint Class

SegmentPropagatorInequalityConstraintEvaluator Class

SegmentPropagatorVariable Class

SegmentPropagatorVariableEvaluator Class

SequentialQuadraticProgrammingOptimizer Class

SetVariableCallback(T) Delegate

SolvableMultivariableFunction Class

SolvableMultivariableFunctionDerivativeResults Class

SolvableMultivariableFunctionResults Class

SolverConstraintScaling Class

SolverConstraintSettings Class

SolverFunctionDerivativeEvaluatedEventArgs Class

SolverFunctionEvaluatedEventArgs Class

SolverVariableScaling Class

SolverVariableSettings Class

SpecifiedValueScalingOnConstraint Class

SpecifiedValueScalingOnCostFunction Class

SpecifiedValueScalingOnInequalityConstraint Class

SpecifiedValueScalingOnVariable Class

StepSizeInformation Enumeration

TargetedSegmentListDifferentialCorrector Class

TargetedSegmentListDifferentialCorrectorResults Class

TargetedSegmentListFunction Class

TargetedSegmentListFunctionResults Class

TargetedSegmentListOptimizerFunction Class

TargetedSegmentListOptimizerFunctionResults Class

TargetedSegmentListParameterOptimizer Class

TargetedSegmentListParameterOptimizerResults Class

TimeIntervalFinder Class

TranslationalMotionInterpolator Class

FiniteDifferenceMethod Enumeration

When numerically computing the derivative of a function, this will indicate if the finite difference method should be forward, backwards or central.

Namespace: AGI.Foundation.NumericalMethods
Assembly: AGI.Foundation.Core (in AGI.Foundation.Core.dll) Version: 24.2.419.0 (24.2.419.0)

Syntax

C++

Copy

public enum FiniteDifferenceMethod

Public Enumeration FiniteDifferenceMethod

public enum class FiniteDifferenceMethod

type FiniteDifferenceMethod

Members

	Member name	Description
	Forward	A forward difference method will be performed. When perturbing a variable, the perturbation will be added to the current value of that variable. The total number of function evaluations that will be performed to solve for the Jacobian of a multivariable function will be 1 plus the number of variables.
	Backward	A backwards difference method will be performed. When perturbing a variable, the perturbation will be subtracted to the current value of that variable. The total number of function evaluations that will be performed to solve for the Jacobian of a multivariable function will be 1 plus the number of variables.
	Signed	The difference will be the signed perturbation value. The total number of function evaluations that will be performed to solve for the Jacobian of a multivariable function will be 1 plus the number of variables.
	Central	A central difference method will be performed. Two function evaluations will be performed for each variable to determine the change of the function values. One run will be done where half of the perturbation value is subtracted from the nominal value of the variable, and a second run where half of the perturbation value is added to the variable. The total number of function evaluations that will be performed to solve for the Jacobian of a multivariable function will be 1 plus twice the number of variables.

Reference

AGI.Foundation.NumericalMethods Namespace