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An Illustrated Guide to Linear Programming Revised Edition
Contributor(s): Gass, Saul I. (Author)
ISBN: 0486262588     ISBN-13: 9780486262581
Publisher: Dover Publications
OUR PRICE:   $13.46  
Product Type: Paperback - Other Formats
Published: March 1990
Qty:
Annotation: Entertaining, nontechnical introduction covers basic concepts of linear programming and its relationship to operations research; geometric interpretation and problem solving, solution techniques, network problems, much more. Appendix offers precise statements of definitions, theorems, and techniques, additional computational procedures. Only high-school algebra needed. Bibliography.

Additional Information
BISAC Categories:
- Computers | Programming - General
- Mathematics | Linear & Nonlinear Programming
- Science | Applied Sciences
Dewey: 519.72
LCCN: 89025752
Physical Information: 0.39" H x 6.1" W x 9.18" (0.55 lbs) 192 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

"I would not hesitate to recommend the book." -- Industrial Engineering
Linear programming is an extremely effective problem-solving tool, with applications in business, agriculture, government, manufacturing, transportation, engineering, and many other areas. This very readable book presents an elementary introduction to linear programming in a refreshing, often humorous style.
Requiring no math beyond high-school algebra, the book shows how linear programming can help anyone reach the optimum solution for a host of diverse problems. Chapter One introduces the basic concepts of linear programming and discusses its relationship to other mathematical models. Chapter Two discusses the formulation of linear-programming problems, including detailed treatment of problems involving diet, catering, assignment, and activity analysis. Chapter Three briefly introduces solution techniques for linear-programming problems, emphasizing the graphical approach. The final chapter describes and formulates a number of important applications, including network problems, traveling-salesman problems and the relationship between linear programming and the theory of games.
Finally, a useful appendix offers precise statements of definitions, theorems and techniques, as well as additional computational procedures. Enlivened with over 70 excellent illustrations, this book represents a very accessible introduction to basic linear programming.