BaseOptimizer (Apache Commons Math 3.3 API)

org.apache.commons.math3.optim

## Class BaseOptimizer<PAIR>

- java.lang.Object
- - org.apache.commons.math3.optim.BaseOptimizer<PAIR>

- Type Parameters:
    `PAIR` - Type of the point/value pair returned by the optimization algorithm.
  Direct Known Subclasses:
    BaseMultivariateOptimizer, UnivariateOptimizer

      public abstract class BaseOptimizer<PAIR>
      extends Object

  Base class for implementing optimizers. It contains the boiler-plate code for counting the number of evaluations of the objective function and the number of iterations of the algorithm, and storing the convergence checker. It is not a "user" class.
  Since:
    3.1
  Version:
    $Id: BaseOptimizer.java 1542541 2013-11-16 17:48:36Z tn $

- - ### Field Summary

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

  - ### Constructor Summary

    Constructors
    Modifier | Constructor and Description
    --- | ---
    `protected` | `BaseOptimizer(ConvergenceChecker<PAIR> checker)`
    `protected` | `BaseOptimizer(ConvergenceChecker<PAIR> checker, int maxEval, int maxIter)`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `protected abstract PAIR` | `doOptimize()` Performs the bulk of the optimization algorithm.
    `ConvergenceChecker<PAIR>` | `getConvergenceChecker()` Gets the convergence checker.
    `int` | `getEvaluations()` Gets the number of evaluations of the objective function.
    `int` | `getIterations()` Gets the number of iterations performed by the algorithm.
    `int` | `getMaxEvaluations()` Gets the maximal number of function evaluations.
    `int` | `getMaxIterations()` Gets the maximal number of iterations.
    `protected void` | `incrementEvaluationCount()` Increment the evaluation count.
    `protected void` | `incrementIterationCount()` Increment the iteration count.
    `PAIR` | `optimize()` Performs the optimization.
    `PAIR` | `optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `protected void` | `parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

    - ### 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

      Evaluations counter.

    - #### iterations

          protected final Incrementor iterations

      Iterations counter.

  - ### Constructor Detail

    - #### BaseOptimizer

          protected BaseOptimizer(ConvergenceChecker<PAIR> checker)

      Parameters:
        `checker` - Convergence checker.

    - #### BaseOptimizer

          protected BaseOptimizer(ConvergenceChecker<PAIR> checker,
                       int maxEval,
                       int maxIter)

      Parameters:
        `checker` - Convergence checker.
        `maxEval` - Maximum number of objective function evaluations.
        `maxIter` - Maximum number of algorithm iterations.

  - ### Method Detail

    - #### getMaxEvaluations

          public int getMaxEvaluations()

      Gets the maximal number of function evaluations.
      Returns:
        the maximal number of function evaluations.

    - #### getEvaluations

          public int getEvaluations()

      Gets 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.
      Returns:
        the number of evaluations of the objective function.

    - #### getMaxIterations

          public int getMaxIterations()

      Gets the maximal number of iterations.
      Returns:
        the maximal number of iterations.

    - #### getIterations

          public int getIterations()

      Gets the number of iterations performed by the algorithm. The number iterations corresponds to the last call to the `optimize` method. It is 0 if the method has not been called yet.
      Returns:
        the number of evaluations of the objective function.

    - #### getConvergenceChecker

          public ConvergenceChecker<PAIR> getConvergenceChecker()

      Gets the convergence checker.
      Returns:
        the object used to check for convergence.

    - #### optimize

          public PAIR optimize(OptimizationData... optData)
                        throws TooManyEvaluationsException,
                               TooManyIterationsException

      Stores data and performs the optimization.

      The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.

      When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).

      Important note: Subclasses must override `parseOptimizationData(OptimizationData[])` if they need to register their own options; but then, they must also call `super.parseOptimizationData(optData)` within that method.

      Parameters:
        `optData` - Optimization data. This method will register the following data:
        - `MaxEval`
        - `MaxIter`
      Returns:
        a point/value pair that satisfies the convergence criteria.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
        `TooManyIterationsException` - if the maximal number of iterations is exceeded.

    - #### optimize

          public PAIR optimize()
                        throws TooManyEvaluationsException,
                               TooManyIterationsException

      Performs the optimization.
      Returns:
        a point/value pair that satisfies the convergence criteria.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
        `TooManyIterationsException` - if the maximal number of iterations is exceeded.

    - #### doOptimize

          protected abstract PAIR doOptimize()

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

    - #### incrementEvaluationCount

          protected void incrementEvaluationCount()
                                           throws TooManyEvaluationsException

      Increment the evaluation count.
      Throws:
        `TooManyEvaluationsException` - if the allowed evaluations have been exhausted.

    - #### incrementIterationCount

          protected void incrementIterationCount()
                                          throws TooManyIterationsException

      Increment the iteration count.
      Throws:
        `TooManyIterationsException` - if the allowed iterations have been exhausted.

    - #### parseOptimizationData

          protected void parseOptimizationData(OptimizationData... optData)

      Scans the list of (required and optional) optimization data that characterize the problem.
      Parameters:
        `optData` - Optimization data. The following data will be looked for:
        - `MaxEval`
        - `MaxIter`

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