| 書(shū)目名稱 | Introduction to Applied Optimization | | 編輯 | Urmila M. Diwekar | | 視頻video | http://file.papertrans.cn/474/473423/473423.mp4 | | 概述 | Includes problem sets and exercises.Introduces applied optimization with unique applications.Solutions manual available upon adoptions.Request lecturer material: | | 叢書(shū)名稱 | Springer Optimization and Its Applications | | 圖書(shū)封面 |  | | 描述 | .Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization. Linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control, and stochastic optimal control are introduced in each self-contained chapter, with exercises, examples, and case studies, the true gems of this text.?This third edition includes?additional content in each chapter designed to clarify or enhance the exposition, and update methodologies and solutions. A new real-world case study related to sustainability is added in Chapters 2—7. GAMS, AIMMS, and MATLAB? files of case studies for Chapters 2, 3, 4, 5, and 7 are freely accessible electronically as extra source materials. A solutions manual is available to instructors who adopt the textbook for their course..From the reviews:.This work is definitely a welcome addition to the existing optimization literature, given its emphasis on modeling and solution pract | | 出版日期 | Textbook 2020Latest edition | | 關(guān)鍵詞 | algorithms; global optimization; linear optimization; multi-objective optimization; nonlinear optimizati | | 版次 | 3 | | doi | https://doi.org/10.1007/978-3-030-55404-0 | | isbn_softcover | 978-3-030-55406-4 | | isbn_ebook | 978-3-030-55404-0Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer Nature Switzerland AG 2020 |
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