AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling, and many other applications. Combining familiar algebraic notation and a powerful inter...

Buy Now From Amazon

Product Review

AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling, and many other applications. Combining familiar algebraic notation and a powerful interactive command environment, AMPL makes it easy to create models, use a wide variety of solvers, and examine solutions. Though flexible and convenient for rapid prototyping and development of models, AMPL also offers the speed and generality needed for repeated large-scale production runs. This book, written by the creators of AMPL, is a complete guide for modelers at all levels of experience. It begins with a tutorial on widely used linear programming models, and presents all of AMPL's features for linear programming with extensive examples. Additional chapters cover network, nonlinear, piecewise-linear, and integer programming; database and spreadsheet interactions; and command scripts. Most chapters include exercises. Download free versions of AMPL and several solvers from www.ampl.com for experimentation, evaluation, and education. The Web site also lists vendors of the commercial version of AMPL and numerous solvers.

Similar Products

Introduction to Mathematical Programming: Operations Research, Vol. 1 (Book & CD-ROM)Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)Pyomo _ Optimization Modeling in Python (Springer Optimization and Its Applications)Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsConvex OptimizationNetwork Flows: Theory, Algorithms, and ApplicationsApplied Mathematical ProgrammingModel Building in Mathematical ProgrammingProject Management for Engineering, Business and TechnologyStudent Solutions Manual to accompany Introduction to Statistical Quality Control, 7e