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MERCURY LEARNING and INFORMATION provides print and digital content in the areas of science and medicine, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets. We embrace both traditional and innovative publishing models designed to accommodate the needs of the intended audience by using the appropriate delivery methods.

Optimization Using Linear Programming Book CoverOptimization Using Linear Programming

A. J. Meitei, PhD and Veena Jain, PhD

ISBN: 978-1-68392-347-3
Pub Date:  April 2019
Specs: 7 x 9   Paperback
Pages: 350
Price: $89.95


Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various types of linear programming problems by using different types of software, but includes the necessary definitions and theorems to master theoretical aspects of the topics presented. 



1: Basics of Linear Algebra Using MS-Excel. 2: Introduction to LPPs and the Graphical Method. 3: Simplex Method-I. 4: Simplex Method-II. 5: Duality. 6: Sensitivity Analysis. 7: Transportation and Transshipment Problems. 8: Assignment Problems. 9: Game Theory. Appendix: Use of Mathematica, MATLAB, Lindo. References. Index.


A. J. Meitei, PhD and Veena Jain, PhD are university instructors specializing in linear algebra and linear programming.