This book offers a comprehensive introduction to optimization with a focus on practical algorithms. Authors Mykel J. Kochenderfer and Tim A. Wheeler approach optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. The text provides concrete implementations in the Julia programming language.

<ASIN:0262039427>

Authors: Mykel J. Kochenderfer and Tim A. Wheeler
Publisher: MIT Press
Date: March 2019
Pages: 520
ISBN: 978-0262039420
Print: 0262039427
Kindle: B07PPDYLGV
Audience: Julia developers interested in optimization
Level: Intermediate/Advanced
Category: Theory & Techniques 

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