BaseAbstractMultivariateOptimizer (Apache Commons Math 3.3 API)

org.apache.commons.math3.optimization.direct

## Class BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction>

- java.lang.Object
- - org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer<FUNC>

- Type Parameters:
    `FUNC` - Type of the objective function to be optimized.
  All Implemented Interfaces:
    BaseMultivariateOptimizer<FUNC>, BaseOptimizer<PointValuePair>
  Direct Known Subclasses:
    AbstractDifferentiableOptimizer, AbstractScalarDifferentiableOptimizer, BaseAbstractMultivariateSimpleBoundsOptimizer, PowellOptimizer, SimplexOptimizer

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

      @Deprecated
      public abstract class BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction>
      extends Object
      implements BaseMultivariateOptimizer<FUNC>

  Base class for implementing optimizers for multivariate scalar functions. This base class handles the boiler-plate methods associated to thresholds, evaluations counting, initial guess and simple bounds settings.
  Since:
    2.2
  Version:
    $Id: BaseAbstractMultivariateOptimizer.java 1422313 2012-12-15 18:53:41Z psteitz $

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `protected Incrementor` | `evaluations` Deprecated. Evaluations counter.

  - ### Constructor Summary

    Constructors
    Modifier | Constructor and Description
    --- | ---
    `protected` | `BaseAbstractMultivariateOptimizer()` Deprecated. See `SimpleValueChecker.SimpleValueChecker()`
    `protected` | `BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)` Deprecated.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | `computeObjectiveValue(double[] point)` Deprecated. Compute the objective function value.
    `protected abstract PointValuePair` | `doOptimize()` Deprecated. Perform the bulk of the optimization algorithm.
    `ConvergenceChecker<PointValuePair>` | `getConvergenceChecker()` Deprecated. Get the convergence checker.
    `int` | `getEvaluations()` Deprecated. Get the number of evaluations of the objective function.
    `GoalType` | `getGoalType()` Deprecated.
    `double[]` | `getLowerBound()` Deprecated.
    `int` | `getMaxEvaluations()` Deprecated. Get the maximal number of function evaluations.
    `double[]` | `getStartPoint()` Deprecated.
    `double[]` | `getUpperBound()` Deprecated.
    `PointValuePair` | `optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Deprecated. As of 3.1. Please use `optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
    `PointValuePair` | `optimize(int maxEval, FUNC f, GoalType goalType, OptimizationData... optData)` Deprecated. Optimize an objective function.
    `protected PointValuePair` | `optimizeInternal(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Deprecated. As of 3.1. Please use `optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
    `protected PointValuePair` | `optimizeInternal(int maxEval, FUNC f, GoalType goalType, OptimizationData... optData)` Deprecated. Optimize an objective function.

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Field Detail

    - #### evaluations

          protected final Incrementor evaluations

      Deprecated.
      Evaluations counter.

  - ### Constructor Detail

    - #### BaseAbstractMultivariateOptimizer

          @Deprecated
          protected BaseAbstractMultivariateOptimizer()

      Deprecated. See `SimpleValueChecker.SimpleValueChecker()`
      Simple constructor with default settings. The convergence check is set to a `SimpleValueChecker`.

    - #### BaseAbstractMultivariateOptimizer

          protected BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)

      Deprecated.
      Parameters:
        `checker` - Convergence checker.

  - ### Method Detail

    - #### getMaxEvaluations

          public int getMaxEvaluations()

      Deprecated.
      Get the maximal number of function evaluations.
      Specified by:
        `getMaxEvaluations` in interface `BaseOptimizer<PointValuePair>`
      Returns:
        the maximal number of function evaluations.

    - #### getEvaluations

          public int getEvaluations()

      Deprecated.
      Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the `optimize` method. It is 0 if the method has not been called yet.
      Specified by:
        `getEvaluations` in interface `BaseOptimizer<PointValuePair>`
      Returns:
        the number of evaluations of the objective function.

    - #### getConvergenceChecker

          public ConvergenceChecker<PointValuePair> getConvergenceChecker()

      Deprecated.
      Get the convergence checker.
      Specified by:
        `getConvergenceChecker` in interface `BaseOptimizer<PointValuePair>`
      Returns:
        the object used to check for convergence.

    - #### computeObjectiveValue

          protected double computeObjectiveValue(double[] point)

      Deprecated.
      Compute the objective function value.
      Parameters:
        `point` - Point at which the objective function must be evaluated.
      Returns:
        the objective function value at the specified point.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.

    - #### optimize

          @Deprecated
          public PointValuePair optimize(int maxEval,
                                           FUNC f,
                                           GoalType goalType,
                                           double[] startPoint)

      Deprecated. As of 3.1. Please use `optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
      Optimize an objective function.
      Specified by:
        `optimize` in interface `BaseMultivariateOptimizer<FUNC extends MultivariateFunction>`
      Parameters:
        `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.
      Returns:
        the point/value pair giving the optimal value for objective function.

    - #### optimize

          public PointValuePair optimize(int maxEval,
                                FUNC f,
                                GoalType goalType,
                                OptimizationData... optData)

      Deprecated.
      Optimize an objective function.
      Parameters:
        `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:
        - `InitialGuess`
        - `SimpleBounds`
      Returns:
        the point/value pair giving the optimal value of the objective function.
      Since:
        3.1

    - #### optimizeInternal

          @Deprecated
          protected PointValuePair optimizeInternal(int maxEval,
                                                   FUNC f,
                                                   GoalType goalType,
                                                   double[] startPoint)

      Deprecated. As of 3.1. Please use `optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
      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.
      Returns:
        the point/value pair giving the optimal value for objective function.
      Throws:
        `DimensionMismatchException` - if the start point dimension is wrong.
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
        `NullArgumentException` - if any argument is `null`.

    - #### optimizeInternal

          protected PointValuePair optimizeInternal(int maxEval,
                                        FUNC f,
                                        GoalType goalType,
                                        OptimizationData... optData)
                                             throws TooManyEvaluationsException

      Deprecated.
      Optimize an objective function.
      Parameters:
        `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:
        - `InitialGuess`
        - `SimpleBounds`
      Returns:
        the point/value pair giving the optimal value of the objective function.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
      Since:
        3.1

    - #### getGoalType

          public GoalType getGoalType()

      Deprecated.
      Returns:
        the optimization type.

    - #### getStartPoint

          public double[] getStartPoint()

      Deprecated.
      Returns:
        the initial guess.

    - #### getLowerBound

          public double[] getLowerBound()

      Deprecated.
      Returns:
        the lower bounds.
      Since:
        3.1

    - #### getUpperBound

          public double[] getUpperBound()

      Deprecated.
      Returns:
        the upper bounds.
      Since:
        3.1

    - #### doOptimize

          protected abstract PointValuePair doOptimize()

      Deprecated.
      Perform the bulk of the optimization algorithm.
      Returns:
        the point/value pair giving the optimal value of the objective function.

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