• Title Algorithms for Optimization
• Author(s) Mykel J. Kochenderfer, Tim A. Wheeler
• Publisher: The MIT Press; Illustrated edition (March 12, 2019); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 520 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10: 0262039427
• ISBN-13: 978-0262039420
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Book Description

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.

This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints.

• Mykel J. Kochenderfer is Assistant Professor in the Department of Aeronautics and Astronautics at Stanford University and the author of Decision Making Under Uncertainty: Theory and Application.
• Tim A. Wheeler wrote his PhD thesis on safety validation for autonomous vehicles and is now in industry working on air taxis.

• Amazon

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

• Algorithms for Optimization (Mykel J. Kochenderfer, et al.)
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