A First Course in Linear Optimization by Amir Beck - ISBN: 9781611978292
Paperback
Unlock optimization: theory, algorithms, applications, and solutions within your grasp.

A First Course in Linear Optimization

$243.30

  • Paperback

    370 pages

  • Release Date

    29 June 2025

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Summary

This self-contained textbook provides the foundations of linear optimization, covering topics in both continuous and discrete linear optimization. It gradually builds the connection between theory, algorithms, and applications so that readers gain a theoretical and algorithmic foundation, familiarity with a variety of applications, and the ability to apply the theory and algorithms to actual problems.

To deepen the reader’s understanding, the authors provide many applications from div…

Book Details

ISBN-13:9781611978292
ISBN-10:1611978297
Author:Amir Beck, Nili Guttmann-Beck
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:370
Release Date:29 June 2025
Series:Computational Science and Engineering
About The Author

Amir Beck

Amir Beck is a professor in the School of Mathematical Sciences at Tel-Aviv University. He has published numerous papers and has given invited lectures at international conferences. He was awarded the INFORMS Farkas Prize (2022), the Salomon Simon Mani award for excellence in teaching, and the Henry Taub research prize. He is a co-editor of Mathematical Programming Series A and was an associate editor of Mathematics of Operations Research, SIAM Journal on Optimization, and Journal of Optimization Theory and Applications, as well as an area editor for optimization in Operations Research. His research interests are in continuous optimization, including theory, algorithmic analysis, and applications.

Nili Guttmann-Beck is a senior lecturer at the Academic College of Tel Aviv-Yaffo, where she heads the statistics education unit. Her research focuses on optimization algorithms and combinatorial algorithms in graphs as well as the pedagogy of statistics.

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