AMPL is a comprehensive and powerful algebraicmodeling language for linear and nonlinearoptimization problems, in discrete or continuousvariables.Developed at Bell Laboratories, AMPL lets you usecommon notation and familiar concepts to formulateoptimization models and examine solutions, while thecomputer manages communication with an appropriatesolver.AMPLs flexibility and convenience render it idealfor rapid prototyping and model development, whileits speed and control options make it an especiallyefficient choice for repeated production runs.Key modeling language features Broad support for sets and set operators. AMPLmodels can use sets of pairs, triples, and longertuples; collections of sets indexed over sets;unordered, ordered, and circular sets of objects;and sets of numbers. General and natural syntax for arithmetic,logical, and conditional expressions; familiarconventions for summations and other iteratedoperators. Nonlinear programming features such as initialprimal and dual values, user defined functions,fast automatic differentiation, and automaticelimination of quot;definedquot; variables. Convenient alte ative notations including nodeand arc declarations for network problems, aspecial syntax for piecewise linear functions, andcolumnwise specification of linear coefficients.Key modeling environment features Interactive command environment with batchprocessing options. Powerful display commands letyou view any model component or expression,browsing on screen or writing to a file, usingautomatic formatting or your own preferences. New looping and if then else commands. Simpleprograms in the AMPL command language can now bewritten to solve sequences of related problems,for sensitivity analysis and for decomposition orother iterative schemes. Separation of model and data. AMPL models remainconcise even as sets and data tables grow. Modelsmay incorporate many kinds of conditions forvalidity of the data. Interfaces to popular and sophisticated solversincluding

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• DRS 2011
  People will obtain many relating data of two or more than two dimension during experiments and production