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Introduction to applied optimization. 3rd edition. (English) Zbl 1451.90001
Springer Optimization and Its Applications 22. Cham: Springer (ISBN 978-3-030-55403-3/hbk; 978-3-030-55404-0/ebook). xxix, 358 p. (2020).
Publisher’s description: 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.
See the reviews of the first and second editions in [Zbl 1159.90001; Zbl 1043.90001].
90-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming
90C05 Linear programming
90C30 Nonlinear programming
90C10 Integer programming
90C29 Multi-objective and goal programming
90C11 Mixed integer programming
90C57 Polyhedral combinatorics, branch-and-bound, branch-and-cut
90C59 Approximation methods and heuristics in mathematical programming
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