@Deprecated public abstract class AbstractDifferentiableOptimizer extends BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>
evaluations| Modifier | Constructor and Description | 
|---|---|
| protected  | AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)Deprecated.  | 
| Modifier and Type | Method and Description | 
|---|---|
| protected double[] | computeObjectiveGradient(double[] evaluationPoint)Deprecated.  Compute the gradient vector. | 
| protected PointValuePair | optimizeInternal(int maxEval,
                MultivariateDifferentiableFunction f,
                GoalType goalType,
                double[] startPoint)Deprecated. 
 In 3.1. Please use
  optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[])instead. | 
| protected PointValuePair | optimizeInternal(int maxEval,
                MultivariateDifferentiableFunction f,
                GoalType goalType,
                OptimizationData... optData)Deprecated.  Optimize an objective function. | 
computeObjectiveValue, doOptimize, getConvergenceChecker, getEvaluations, getGoalType, getLowerBound, getMaxEvaluations, getStartPoint, getUpperBound, optimize, optimizeprotected AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)
checker - Convergence checker.protected double[] computeObjectiveGradient(double[] evaluationPoint)
evaluationPoint - Point at which the gradient must be evaluated.@Deprecated protected PointValuePair optimizeInternal(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, double[] startPoint)
optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[])
 instead.optimizeInternal in class BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>maxEval - Maximum number of function evaluations.f - Objective function.goalType - Type of optimization goal: either
 GoalType.MAXIMIZE or GoalType.MINIMIZE.startPoint - Start point for optimization.protected PointValuePair optimizeInternal(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, OptimizationData... optData)
optimizeInternal in class BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>maxEval - Allowed number of evaluations of the objective function.f - Objective function.goalType - Optimization type.optData - Optimization data. The following data will be looked for:
 Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.