AbstractConvergenceChecker (Apache Commons Math 3.6.1 API)

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

Type Parameters:
PAIR - Type of (point, value) pair.

All Implemented Interfaces:

ConvergenceChecker<PAIR>

Direct Known Subclasses:

SimplePointChecker, SimpleUnivariateValueChecker, SimpleValueChecker, SimpleVectorValueChecker
```
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(double relativeThreshold, double absoluteThreshold)` 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)` Check if the optimization algorithm has converged.
`double`	`getAbsoluteThreshold()`
`double`	`getRelativeThreshold()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - AbstractConvergenceChecker
```
public AbstractConvergenceChecker(double relativeThreshold,
                          double absoluteThreshold)
```
    Build an instance with a specified thresholds.
    
    Parameters:
    relativeThreshold - relative tolerance threshold
    absoluteThreshold - absolute tolerance threshold
- Method Detail
  - getRelativeThreshold
```
public double getRelativeThreshold()
```
    Returns:
    the relative threshold.
  - getAbsoluteThreshold
```
public double getAbsoluteThreshold()
```
    Returns:
    the absolute threshold.
  - converged
```
public abstract boolean converged(int iteration,
                PAIR previous,
                PAIR current)
```
    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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