AbstractConvergenceChecker (Hipparchus 1.4 API)

java.lang.Object
- org.hipparchus.optim.AbstractConvergenceChecker<P>

Type Parameters:

P - Type of (point, value) pair.

All Implemented Interfaces:

ConvergenceChecker<P>

Direct Known Subclasses:

SimplePointChecker, SimpleUnivariateValueChecker, SimpleValueChecker, SimpleVectorValueChecker
```
public abstract class AbstractConvergenceChecker<P>
extends Object
implements ConvergenceChecker<P>
```
Base class for all convergence checker implementations.

Constructor Summary

Constructors
Constructor	Description
`AbstractConvergenceChecker(double relativeThreshold, double absoluteThreshold)`	Build an instance with a specified thresholds.

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`abstract boolean`	`converged(int iteration, P previous, P 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,
                                  P previous,
                                  P current)
```
    Check if the optimization algorithm has converged.
    
    Specified by:
    
    converged in interface ConvergenceChecker<P>
    
    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.