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arXiv · 1801.10533

The Barycenter Method for Direct Optimization

Felipe M Pait
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Abstract

A randomized version of the recently developed barycenter method for derivative-free optimization has desirable properties of a gradient search. We develop a complex version to avoid evaluations at high-gradient points. The method, applicable to non-smooth functions, is parallelizable in a natural way and shown to be robust under noisy measurements.

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Felipe M Pait. 2018-01-31. The Barycenter Method for Direct Optimization. https://arxiv.org/abs/1801.10533

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