Introduction to applied optimization
Author(s)
Bibliographic Information
Introduction to applied optimization
（Springer optimization and its applications, v. 22）
Springer, 2020
3rd ed
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Note
Previous ed.: 2008
Includes bibliographical references and index
Description and Table of Contents
Description
Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;
Introduces applied optimization to the hazardous waste blending problem;
Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;
Includes an extensive bibliography at the end of each chapter and an index;
GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8;
Solutions manual available upon adoptions.
Table of Contents
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.
by "Nielsen BookData"