Algorithms for Optimization (MIT Press)
Monday, 18 March 2019

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.

 

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 

 

 

algopt

 

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React Programming

Author: Loren Klingman and Ashley Parker
Publisher: Big Nerd Ranch Guides
Date: April 2023
ISBN:978-0137901760
Print:0137901763
Kindle:B0C4V69S8Z
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Rating: 4
Reviewer: Ian Elliot
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Author: David Farley
Pages: 256
ISBN: 978-0137314911
Print:0137314914
Kindle: B09GG6XKS4
Audience: Software Engineers
Rating: 3.5
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