| 書目名稱 | Polynomial Optimization, Moments, and Applications | | 編輯 | Michal Ko?vara,Bernard Mourrain,Cordian Riener | | 視頻video | http://file.papertrans.cn/752/751348/751348.mp4 | | 概述 | An accessible collection of tutorial-style chapters.Covers recent developments of polynomial optimisation.Provides a range of cutting-edge applications | | 叢書名稱 | Springer Optimization and Its Applications | | 圖書封面 |  | | 描述 | Polynomial optimization is a fascinating field of study that has revolutionized the way we approach nonlinear problems described by polynomial constraints. The applications of this field range from production planning processes to transportation, energy consumption, and resource control..This introductory book explores the latest research developments in polynomial optimization, presenting the results of cutting-edge interdisciplinary work conducted by the European network POEMA. For the past four years, experts from various fields, including algebraists, geometers, computer scientists, and industrial actors, have collaborated in this network to create new methods that go beyond traditional paradigms of mathematical optimization. By exploiting new advances in algebra and convex geometry, these innovative approaches have resulted in significant scientific and technological advancements. This book aims to make these exciting developments accessible to a wider audienceby gathering high-quality chapters on these hot topics..Aimed at both aspiring and established researchers, as well as industry professionals, this book will be an invaluable resource for anyone interested in polynomial | | 出版日期 | Book 2023 | | 關鍵詞 | Polynomial Optimization; Moments; Real Algebraic Geometry; Convex Geometry; Geometric Modeling; Sum of Sq | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-38659-6 | | isbn_softcover | 978-3-031-38661-9 | | isbn_ebook | 978-3-031-38659-6Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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