Bayesian Optimization for Materials Science
This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2. Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science.Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materia…
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Produktdetails
- ISBN: 978-981-10-6780-8
- EAN: 9789811067808
- Produktnummer: 31948558
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 42 S.
- Masse: H23.5 cm x B15.5 cm 949 g
- Auflage: 1st ed. 2017
- Abbildungen: schwarz-weiss Illustrationen, farbige Illustrationen, Tabellen, farbig
- Reihenbandnummer: 03
- Gewicht: 949
- Sonstiges: Research
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