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Titlebook: Practical Chemical Process Optimization; With MATLAB? and GAM Ioannis K. Kookos Textbook 2022 The Editor(s) (if applicable) and The Author(

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書目名稱Practical Chemical Process Optimization
副標題With MATLAB? and GAM
編輯Ioannis K. Kookos
視頻videohttp://file.papertrans.cn/753/752897/752897.mp4
概述Applications cover examples encountered in chemical processes: chemical reactors, heat transfer and more.Undergraduate practical introduction of optimization theory to chemical and biochemical systems
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Practical Chemical Process Optimization; With MATLAB? and GAM Ioannis K. Kookos Textbook 2022 The Editor(s) (if applicable) and The Author(
描述.This text provides the undergraduate chemical engineering student with the necessary tools for problem solving in chemical or bio-engineering processes. In a friendly, simple, and unified framework, the exposition aptly balances theory and practice. It uses minimal mathematical concepts, terms, algorithms, and describes the main aspects of chemical process optimization using MATLAB and GAMS. Numerous examples and case studies are designed for students to understand basic principles of each optimization method and elicit the immediate discovery of practical applications. Problem sets are directly tied to real-world situations most commonly encountered in chemical engineering applications. Chapters are structured with handy learning summaries, terms and concepts, and problem sets, and individually reinforce the basics of particular optimization methods. Additionally, the wide breadth of topics that may be encountered in courses such as Chemical Process Optimization, Chemical Process Engineering, Optimization of Chemical Processes, are covered in this accessible text. The book provides formal introductions to MATLAB, GAMS, and a revisit to pertinent aspects of undergraduate calculus.
出版日期Textbook 2022
關(guān)鍵詞Newton‘s method; chemical process optimization; textbook chemical process optimization; solve NP proble
版次1
doihttps://doi.org/10.1007/978-3-031-11298-0
isbn_softcover978-3-031-11300-0
isbn_ebook978-3-031-11298-0Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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