| 书目名称 | Optimization Methods in Mathematical Modeling of Technological Processes | | 编辑 | Alena Vagaská,Miroslav Gombár,Anton Panda | | 视频video | | | 概述 | Delves into the current mathematical modeling of processes and systems.Helps to optimize engineering practice with the methods discussed.Provides valuable demonstrations and examples of the implementa | | 丛书名称 | Mathematical Engineering | | 图书封面 |  | | 描述 | This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering. | | 出版日期 | Book 2023 | | 关键词 | Applied mathematics; Technological processes; Design of experiments; Turning; Engineering optimization; O | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-35339-0 | | isbn_softcover | 978-3-031-35341-3 | | isbn_ebook | 978-3-031-35339-0Series ISSN 2192-4732 Series E-ISSN 2192-4740 | | issn_series | 2192-4732 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:27:59
