Computer Science > Computational Engineering, Finance, and Science
[Submitted on 17 May 2021]
Title:Efficient yield optimization with limited gradient information
View PDFAbstract:In this work an efficient strategy for yield optimization with uncertain and deterministic optimization variables is presented. The gradient based adaptive Newton-Monte Carlo method is modified, such that it can handle variables with (uncertain parameters) and without (deterministic parameters) analytical gradient information. This mixed strategy is numerically compared to derivative free approaches.
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