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java.lang.Objectorg.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
public static class CMAESOptimizer.Sigma
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.
Field Summary | |
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private double[] |
sigma
Sigma values. |
Constructor Summary | |
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CMAESOptimizer.Sigma(double[] s)
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Method Summary | |
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double[] |
getSigma()
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Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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private final double[] sigma
Constructor Detail |
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public CMAESOptimizer.Sigma(double[] s) throws NotPositiveException
s
- Sigma values.
NotPositiveException
- if any of the array entries is smaller
than zero.Method Detail |
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public double[] getSigma()
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