Frank Hess created MATH-867:
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Summary: CMAESOptimizer with bounds fits finely near lower bound
and coarsely near upper bound.
Key: MATH-867
URL: https://issues.apache.org/jira/browse/MATH-867
Project: Commons Math
Issue Type: Bug
Reporter: Frank Hess
When fitting with bounds, the CMAESOptimizer fits finely near the lower bound
and coarsely near the upper bound. This is because it internally maps the
fitted parameter range into the interval [0,1]. The unit of least precision
(ulp) between floating point numbers is much smaller near zero than near one.
Thus, fits have much better resolution near the lower bound (which is mapped to
zero) than the upper bound (which is mapped to one). I will attach a example
program to demonstrate.
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