Linear and Integer Programming Made Easy (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	May 2016
First published:	2016
Authors:	T.C. Hu • Andrew B. Kahng
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	143
Edition:	1st ed. 2016
ISBN-13:	978-3-319-23999-6
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Optimization > Linear programming Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-319-23999-6
Barcode:	9783319239996

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