Uses of Class
agi.foundation.numericalmethods.OptimizerMultivariableFunctionDerivativeResults

Packages that use OptimizerMultivariableFunctionDerivativeResults

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

Uses of OptimizerMultivariableFunctionDerivativeResults in agi.foundation.numericalmethods

Subclasses of OptimizerMultivariableFunctionDerivativeResults in agi.foundation.numericalmethods

Modifier and Type	Class and Description
class	NumericallyComputedOptimizerFunctionDerivativeResults The results of an evaluation of the derivative of an OptimizerMultivariableFunction when that evaluation was done with a numerical algorithm.

Methods in agi.foundation.numericalmethods that return OptimizerMultivariableFunctionDerivativeResults

Modifier and Type	Method and Description
OptimizerMultivariableFunctionDerivativeResults	OptimizerMultivariableFunction.evaluateDerivative(double[] variables, boolean multithreaded, ITrackCalculationProgress progressTracker) Evaluates the gradients of this function.
OptimizerMultivariableFunctionDerivativeResults	OptimizerMultivariableFunction.evaluateDerivative(double[] variables, boolean multithreaded, OptimizerMultivariableFunctionResults valueResults, ITrackCalculationProgress progressTracker) Evaluates the gradients of this function.
OptimizerMultivariableFunctionDerivativeResults	ParameterOptimizerIterationResults.getDerivativeResults() Gets the results of the evaluation of the function's derivative.
OptimizerMultivariableFunctionDerivativeResults	OptimizerFunctionDerivativeEvaluatedEventArgs.getResults() Gets the OptimizerMultivariableFunctionDerivativeResults from the ParameterOptimizer that raised the event.

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

Modifier and Type	Method and Description
abstract MultivariableFunctionSolverStepResult<OptimizerMultivariableFunctionResults,OptimizerMultivariableFunctionDerivativeResults>	SequentialQuadraticProgrammingOptimizer.computeNextStep(double[] variableValues, Matrix hessian, ParameterOptimizerIterationResults previousIterationResults, ITrackCalculationProgress progressTracker) Computes the next optimization step that this parameter optimizer should take.
MultivariableFunctionSolverStepResult<OptimizerMultivariableFunctionResults,OptimizerMultivariableFunctionDerivativeResults>	ActiveSetSequentialQuadraticProgrammingOptimizer.computeNextStep(double[] variableValues, Matrix hessian, ParameterOptimizerIterationResults previousIterationResults, ITrackCalculationProgress progressTracker) Computes the next optimization step that this parameter optimizer should take.
MultivariableFunctionEvaluationAndDerivativeResults<OptimizerMultivariableFunctionResults,OptimizerMultivariableFunctionDerivativeResults>	OptimizerMultivariableFunction.evaluate(double[] variables, int order, boolean multithreaded, ITrackCalculationProgress progressTracker) Evaluates the function and the gradients.

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

Modifier and Type	Method and Description
protected void	OptimizerMultivariableFunction.callDerivativeEvaluationEvent(OptimizerMultivariableFunctionDerivativeResults derivativeResults) Calls the DerivativeEvaluationEvent (add / remove).
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 OptimizerMultivariableFunctionDerivativeResults

Constructor and Description
OptimizerFunctionDerivativeEvaluatedEventArgs(OptimizerMultivariableFunctionDerivativeResults results) Initializes a new instance.
OptimizerMultivariableFunctionDerivativeResults(OptimizerMultivariableFunctionDerivativeResults 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.