Linear and Integer Programming Made Easy

Linear and Integer Programming Made Easy

Description

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.
Readers will learn to cast various problems that may arise in their research as optimization problems, understand the cases where the optimization problem will be linear, choose appropriate solution methods and interpret results appropriately.


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Details

Author(s)
T. C. Hu, Andrew B. Kahng
Format
Paperback | 143 pages
Dimensions
155 x 235 x 8.38mm | 2,467g
Publication date
26 May 2018
Publisher
Springer International Publishing AG
Publication City/Country
Cham, Switzerland
Language
English
Edition Statement
Softcover reprint of the original 1st ed. 2016
Illustrations note
13 Tables, color; 46 Tables, black and white; 1 Illustrations, color; 23 Illustrations, black and white; X, 143 p. 24 illus., 1 illus. in color.
ISBN10
3319795686
ISBN13
9783319795683