Uses of Class
agi.foundation.numericalmethods.MultivariableFunctionSolverStepResult

Packages that use MultivariableFunctionSolverStepResult

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

Uses of MultivariableFunctionSolverStepResult in agi.foundation.numericalmethods

Methods in agi.foundation.numericalmethods that return MultivariableFunctionSolverStepResult

Modifier and Type	Method and Description
MultivariableFunctionSolverStepResult<SolvableMultivariableFunctionResults,SolvableMultivariableFunctionDerivativeResults>	NewtonRaphsonMultivariableFunctionSolver.computeNextStep(double[] variableValues, ITrackCalculationProgress progressTracker) Computes the next differential step that this differential corrector should take.
abstract MultivariableFunctionSolverStepResult<SolvableMultivariableFunctionResults,SolvableMultivariableFunctionDerivativeResults>	MultivariableFunctionDifferentialSolver.computeNextStep(double[] variableValues, ITrackCalculationProgress progressTracker) Computes the next differential step that this differential corrector should take.
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.