Overview
- Step-by-step tutorial and different examples help the reader to perfectly learn modeling techniques
- A special chapter is devoted to different real world applications of optimizations models
- It would be useful for graduate and postgraduate educational levels' students, researchers, and experts requiring modeling techniques in their jobs
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Table of contents (6 chapters)
Keywords
About this book
Undergraduate and postgraduate students of different academic disciplines would find this book a suitable option preparing them for jobs and research fields requiring modeling techniques. Furthermore, this book can be used as a reference book for experts and practitioners requiring advanced skills of model building in their jobs.
Reviews
“This book will be useful not only to undergraduate and postgraduate students interested in applied mathematical programming, but also to those practitioners who, in their jobs, need an advanced knowledge of optimization model building.” (Giorgio Giorgi, Mathematical Reviews, August, 2021)
Authors and Affiliations
Bibliographic Information
Book Title: Methods and Models in Mathematical Programming
Authors: S. A. MirHassani, F. Hooshmand
DOI: https://doi.org/10.1007/978-3-030-27045-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-27044-5Published: 02 January 2020
Softcover ISBN: 978-3-030-27047-6Published: 26 August 2021
eBook ISBN: 978-3-030-27045-2Published: 09 December 2019
Edition Number: 1
Number of Pages: XIII, 389
Number of Illustrations: 185 b/w illustrations, 7 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Mathematics of Computing, Software Engineering/Programming and Operating Systems, Computational Mathematics and Numerical Analysis