• 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 BY-NC-ND
• Hardcover: 704 pages
• eBook: PDF (700 pages)
• Language: English
• ISBN-10: 0262047012
• ISBN-13: 978-0262047012
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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.

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• Algorithms and Data Structures
• Operations Research (OR), Optimization, Linear Programming, Approximation, etc.
• Computational Complexity

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