A Modern Approach to Computer Systems for Linear Programming (Classic Reprint) - Hardcover

Robert Fourer

 
9780331770377: A Modern Approach to Computer Systems for Linear Programming (Classic Reprint)

Synopsis

Understand how modern linear programming systems work behind the scenes.

This book explains why solving LP problems isn’t just about the math, but about how models are created, organized, and translated into computer-ready data. It contrasts the traditional, deck-based approach with a modern, XML-driven system that aims to be more flexible and interactive.

The text shows how early LP tools evolved from batch optimizers to interactive, model‑oriented platforms. It introduces AMPS, a system built around XML models, hierarchical data organization, and editors like XME that work component by component. Readers will see how model creation, organization, and translation to matrices fit together to solve real problems efficiently.
  • How algebraic LP models map to matrix form and why translation matters
  • What makes a modern LP system more flexible than older matrix-generator approaches
  • How XML modeling and hierarchical file structures support multiple cases and versions
  • How interactive editing and quick-tabulation tools speed up model testing and reporting
Ideal for readers of operations research, computer systems for optimization, and students exploring how practical LP software is built and used.

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About the Author

Robert Fourer received his Ph.D. in operations research from Stanford University in 1980 and is an active researcher in mathematical programming and modeling language design. He joined the Department of Industrial Engineering and Management Sciences at Northwestern University in 1979 and served as chair of the department from 1989 to 1995.

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