Linear and Integer Programming Made Easy

Hu, T. C.; Kahng, Andrew B.

This textbook provides concise coverage of the basics of linear and integer programming which, with megatrends toward optimization, machine learning, big data, etc., are becoming fundamental toolkits for data and information science and technology. The authors’ approach is accessible to students from almost all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification and computer vision. The presentations enables the basis for numerous approaches to solving hard combinatorial optimization problems through randomization and approximation.  

Details

Published by: Springer

Publication Date: 2018-05-26

Format: Paperback

ISBN-13: 9783319795683

DOI: 10.1007/978-3-319-24001-5

Dimensions: 235cm x155cm

Pages: 143