arXiv Open Access 2021

Efficient yield optimization with limited gradient information

Mona Fuhrländer Sebastian Schöps

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Abstrak

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.

Topik & Kata Kunci

cs.CE

Penulis (2)

Mona Fuhrländer

Sebastian Schöps

Format Sitasi

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Fuhrländer, M., Schöps, S. (2021). Efficient yield optimization with limited gradient information. https://arxiv.org/abs/2105.07799

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓