CMAESOptimizer.Sigma (Hipparchus 1.4 API)

java.lang.Object
- org.hipparchus.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma

All Implemented Interfaces:

OptimizationData

Enclosing class:

CMAESOptimizer
```
public static class CMAESOptimizer.Sigma
extends Object
implements OptimizationData
```
Input sigma values. They define the initial coordinate-wise standard deviations for sampling new search points around the initial guess. It is suggested to set them to the estimated distance from the initial to the desired optimum. Small values induce the search to be more local (and very small values are more likely to find a local optimum close to the initial guess). Too small values might however lead to early termination.

- Constructor Summary
  
  Constructors
  Constructor Description
  
  Sigma(double[] s)
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  double[] getSigma()
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Sigma
```
public Sigma(double[] s)
      throws MathIllegalArgumentException
```
    Parameters:
    
    s - Sigma values.
    
    Throws:
    
    MathIllegalArgumentException - if any of the array entries is smaller than zero.
- Method Detail
  - getSigma
```
public double[] getSigma()
```
    Returns:
    
    the sigma values.