AMPL: A Modeling Language for Mathematical Programming (Robert Fourer, et al)

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AMPL: A Modeling Language for Mathematical Programming (Robert Fourer, et al)

AMPL is a language used to solve complex optimization and mathematical programming issues in a variety of applications, including production, distribution, blending, scheduling, and many more.

AMPL makes it simple to design models, employ a wide range of solvers, and study results by fusing well-known algebraic syntax with a potent interactive command environment. Although AMPL is adaptable and practical for quick prototypes and model development, it also provides the speed and generality required for repeated large-scale production runs.

This comprehensive manual for modelers of all levels of experience was prepared by the team behind AMPL. It starts off with a tutorial on popular linear programming models before introducing all of AMPL's features for linear programming and providing detailed examples for each. Additional chapters discuss command scripts, database, and spreadsheet interactions, nonlinear, piecewise-linear, and integer programming. A majority of chapters have exercises.

Ebook Details

About the Authors
  • Robert Fourier is a researcher in mathematical programming and the creation of modeling languages. He earned his Ph.D. in operations research from Stanford University in 1980. 
  • David M. Gay earned his doctorate in computer science from Cornell University in 1975, and from 1981 to 2001, he worked for Bell Laboratories Computing Science Research Center. 
  • Princeton University awarded Brian Kernighan a Ph.D. in electrical engineering in 1969. From 1969 to 2000, he worked at Bell Laboratories Computing Science Research Center. Currently, he is a professor in Princeton's Computer Science program. 
Published Date / Year
2 edition (November 12, 2002)
540 pages
eBook Format
PDF files

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