书目名称 | Optimization Under Uncertainty with Applications to Aerospace Engineering |
编辑 | Massimiliano Vasile |
视频video | http://file.papertrans.cn/704/703182/703182.mp4 |
概述 | Gathers lecture notes from leading experts in the field into one authoritative resource, providing readers with an essential starting point for cutting edge research.Provides the most modern technique |
图书封面 |  |
描述 | In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering..The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.. |
出版日期 | Book 2021 |
关键词 | Aerospace Engineering; Bayesian Techniques; Evidence Theory for Robust Optimization; Imprecise Markov C |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-60166-9 |
isbn_softcover | 978-3-030-60168-3 |
isbn_ebook | 978-3-030-60166-9 |
copyright | Springer Nature Switzerland AG 2021 |