## org.apache.commons.math3.optimization
Interface BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>

Type Parameters:
  `FUNC` - Type of the objective function to be optimized.

All Superinterfaces:
  BaseMultivariateOptimizer<FUNC>, BaseOptimizer<PointValuePair>

All Known Implementing Classes:
  BaseAbstractMultivariateSimpleBoundsOptimizer, BOBYQAOptimizer, CMAESOptimizer

Deprecated. As of 3.1 (to be removed in 4.0).

    @Deprecated
    public interface BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>

extends BaseMultivariateOptimizer<FUNC>

This interface is mainly intended to enforce the internal coherence of Commons-FastMath. Users of the API are advised to base their code on the following interfaces:

- `MultivariateOptimizer`
- `MultivariateDifferentiableOptimizer`

Since:
  3.0
Version:
  $Id: BaseMultivariateSimpleBoundsOptimizer.java 1422230 2012-12-15 12:11:13Z erans $

Method Summary
`PointValuePair` `optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint, double[] lowerBound, double[] upperBound)` Deprecated. Optimize an objective function.

Methods inherited from interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
`optimize`

Methods inherited from interface org.apache.commons.math3.optimization.BaseOptimizer
`getConvergenceChecker, getEvaluations, getMaxEvaluations`

Method Detail

### optimize

    PointValuePair optimize(int maxEval,
                            FUNC f,
                            GoalType goalType,
                            double[] startPoint,
                            double[] lowerBound,
                            double[] upperBound)

  Deprecated.
  Optimize an objective function.

  Parameters:
    `f` - Objective function.
    `goalType` - Type of optimization goal: either `GoalType.MAXIMIZE` or `GoalType.MINIMIZE`.
    `startPoint` - Start point for optimization.
    `maxEval` - Maximum number of function evaluations.
    `lowerBound` - Lower bound for each of the parameters.
    `upperBound` - Upper bound for each of the parameters.
  Returns:
    the point/value pair giving the optimal value for objective function.
  Throws:
    `DimensionMismatchException` - if the array sizes are wrong.
    `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
    `NullArgumentException` - if `f`, `goalType` or `startPoint` is `null`.
    `NumberIsTooSmallException` - if any of the initial values is less than its lower bound.
    `NumberIsTooLargeException` - if any of the initial values is greater than its upper bound.

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