Probabilistic design for optimization and robustness for engineers

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features...

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Bibliographic Details
Other Authors: Dodson, Bryan Author (author), Klerx, Rene Contributor (contributor), Hammett, Patrick C Contributor
Format: eBook
Language:Inglés
Published: [Place of publication not identified] John Wiley & Sons Inc 2014
Chichester West Sussex United Kingdom 2014
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629446106719
Description
Summary:Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.
Item Description:Bibliographic Level Mode of Issuance: Monograph
Physical Description:1 online resource (272 pages)