Class CMAESOptimizer.Sigma
java.lang.Object
org.hipparchus.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
- All Implemented Interfaces:
OptimizationData
- Enclosing class:
- CMAESOptimizer
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.
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Constructor Summary
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Method Summary
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Constructor Details
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Sigma
Simple constructor.- Parameters:
s
- Sigma values.- Throws:
MathIllegalArgumentException
- if any of the array entries is smaller than zero.
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Method Details
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getSigma
public double[] getSigma()Get sigma values.- Returns:
- the sigma values
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