Introduction to Applied Optimization. 3rd ed. 2020

種類:

電子ブック

責任表示:

by Urmila M. Diwekar

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

• Diwekar, Urmila M.
• SpringerLink (Online service)

シリーズ名:

Springer Optimization and Its Applications ; 22

ISBN:

9783030554040 [303055404X]    

注記:

1. Introduction -- 2. Linear Programming -- 3. Nonlinear Programming.-4. Discrete Optimization -- 5. Optimization Under Uncertainty -- 6. Multiobjective Optimization -- 7.Optimal Control and Dynamic Optimization -- Index.
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 tex

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