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 Title Algorithms for Decision Making
 Author(s) Mykel Kochenderfer, Tim Wheeler, and Kyle Wray
 Publisher: The MIT Press (August 2, 2022); eBook (Creative Commons Edition)
 License(s): CC BYNCND
 Hardcover: 704 pages
 eBook PDF (700 pages)
 Language: English
 ISBN10: 0262047012
 ISBN13: 9780262047012
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Book Description
This book provides a broad introduction to algorithms for decision making under uncertainty. It covers a wide variety of topics related to decision making, introducing the underlying mathematical problem formulations and the algorithms for solving them. Figures, examples, and exercises are provided to convey the intuition behind the various approaches.
It requires some mathematical maturity and assumes prior exposure to multivariable calculus, linear algebra, and probability concepts. Some review material is provided in the appendices.
Disciplines where the book would be especially useful include mathematics, statistics, computer science, aerospace, electrical engineering, and operations research.
Fundamental to this textbook are the algorithms, which are all implemented in the Julia programming language.
About the Authors N/A
 Algorithms and Data Structures
 Operations Research (OR), Optimization, Linear Programming, Approximation, etc.
 Computational Complexity

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