org.apache.commons.math3.optimization

## Class AbstractConvergenceChecker<PAIR>

- java.lang.Object
- - org.apache.commons.math3.optimization.AbstractConvergenceChecker<PAIR>

- Type Parameters:
    `PAIR` - Type of (point, value) pair.
  All Implemented Interfaces:
    ConvergenceChecker<PAIR>
  Direct Known Subclasses:
    SimplePointChecker, SimpleUnivariateValueChecker, SimpleValueChecker, SimpleVectorValueChecker

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

      @Deprecated
      public abstract class AbstractConvergenceChecker<PAIR>
      extends Object
      implements ConvergenceChecker<PAIR>

  Base class for all convergence checker implementations.
  Since:
    3.0

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `AbstractConvergenceChecker()` Deprecated. in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
    `AbstractConvergenceChecker(double relativeThreshold, double absoluteThreshold)` Deprecated. Build an instance with a specified thresholds.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `abstract boolean` | `converged(int iteration, PAIR previous, PAIR current)` Deprecated. Check if the optimization algorithm has converged.
    `double` | `getAbsoluteThreshold()` Deprecated.
    `double` | `getRelativeThreshold()` Deprecated.

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

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

- - ### Constructor Detail

    - #### AbstractConvergenceChecker

          @Deprecated
          public AbstractConvergenceChecker()

      Deprecated. in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
      Build an instance with default thresholds.

    - #### AbstractConvergenceChecker

          public AbstractConvergenceChecker(double relativeThreshold,
                                    double absoluteThreshold)

      Deprecated.
      Build an instance with a specified thresholds.
      Parameters:
        `relativeThreshold` - relative tolerance threshold
        `absoluteThreshold` - absolute tolerance threshold

  - ### Method Detail

    - #### getRelativeThreshold

          public double getRelativeThreshold()

      Deprecated.
      Returns:
        the relative threshold.

    - #### getAbsoluteThreshold

          public double getAbsoluteThreshold()

      Deprecated.
      Returns:
        the absolute threshold.

    - #### converged

          public abstract boolean converged(int iteration,
                          PAIR previous,
                          PAIR current)

      Deprecated.
      Check if the optimization algorithm has converged.
      Specified by:
        `converged` in interface `ConvergenceChecker<PAIR>`
      Parameters:
        `iteration` - Current iteration.
        `previous` - Best point in the previous iteration.
        `current` - Best point in the current iteration.
      Returns:
        `true` if the algorithm is considered to have converged.

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