Uses of Class
agi.foundation.numericalmethods.InequalityConstraintSettings

Packages that use InequalityConstraintSettings

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

Uses of InequalityConstraintSettings in agi.foundation.numericalmethods

Methods in agi.foundation.numericalmethods that return InequalityConstraintSettings

Modifier and Type	Method and Description
InequalityConstraintSettings	SegmentPropagatorInequalityConstraintEvaluator.createSettings() Creates the InequalityConstraintSettings for use with a ParameterOptimizer.
InequalityConstraintSettings[]	ParameterOptimizerIterationResults.getInequalityConstraintSettings() Gets the SolverConstraintSettings that correspond to the inequality constraints computed by the function.
InequalityConstraintSettings	SegmentPropagatorInequalityConstraint.getSettings() Gets the settings for the ParameterOptimizer associated with this constraint.

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

Modifier and Type	Method and Description
List<InequalityConstraintSettings>	ParameterOptimizer.getInequalities() Gets the inequality constraint settings corresponding to the results computed by the Function (get / set).

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

Modifier and Type	Method and Description
protected boolean	InequalityConstraintSettings.checkForSameDefinition(InequalityConstraintSettings other) Checks to determine if another instance has the same definition as this instance and returns true if it does.
int	ParameterOptimizerIterationResults.indexOfInequalityConstraint(InequalityConstraintSettings constraint) Gets the index of the InequalityConstraintSettings in the array that is returned by the ParameterOptimizerIterationResults.getInequalityConstraintSettings() method.
double	SpecifiedValueScalingOnInequalityConstraint.scale(InequalityConstraintSettings settings) Gets the scaling value as it would be applied to the constraint.
double	ReciprocalOfToleranceScalingOnInequalityConstraint.scale(InequalityConstraintSettings settings) Gets the scaling value as it would be applied to the constraint.
double	ReciprocalOfBoundValueScalingOnInequalityConstraint.scale(InequalityConstraintSettings settings) Gets the scaling value as it would be applied to the constraint.
double	NoScalingOnInequalityConstraint.scale(InequalityConstraintSettings settings) Gets the scaling value as it would be applied to the constraint.
abstract double	InequalityConstraintScaling.scale(InequalityConstraintSettings settings) Gets the scaling value as it would be applied to the constraint.
void	SegmentPropagatorInequalityConstraint.setSettings(InequalityConstraintSettings value) Sets the settings for the ParameterOptimizer associated with this constraint.

Method parameters in agi.foundation.numericalmethods with type arguments of type InequalityConstraintSettings

Modifier and Type	Method and Description
static boolean	ParameterOptimizer.checkInequalitySatisfaction(List<InequalityConstraintSettings> inequalities, double[] currentInequalityValues) A helper method to determine if the inequality constraints are satisfied with the currentInequalityValues.
static void	ActiveSetSequentialQuadraticProgrammingOptimizer.solveLagrangianDerivativeEquation(OptimizerMultivariableFunctionResults unperturbedAnswer, OptimizerMultivariableFunctionDerivativeResults derivativeResults, ArrayList<InequalityConstraintSettings> activeInequalitySet, ArrayList<Double> activeInequalityErrors, ArrayList<double[]> activeInequalityGradients, List<SolverConstraintSettings> equalitySet, double[] equalityErrors, ArrayList<Double>[] lagrangeMultipliers, double[][] lagrangianDerivatives) Solves for the Lagrange multipliers and derivatives of the Lagrangian using the cost function, equality errors, active inequality errors, and the gradients of each with respect to the variables.

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

Constructor and Description
InequalityConstraintSettings(InequalityConstraintSettings existingInstance, CopyContext context) Initializes a new instance as a copy of an existing instance.
ParameterOptimizerIterationResults(OptimizerMultivariableFunctionResults functionResult, OptimizerMultivariableFunctionDerivativeResults derivativeResults, int iteration, SolverVariableSettings[] variableSettings, CostFunctionSettings costFunctionSettings, SolverConstraintSettings[] equalitySettings, InequalityConstraintSettings[] inequalitySettings) Initializes a new instance.