A Tutorial of AMPL for Linear Programming
A Tutorial of AMPL for Linear Programming Hongwei Jin May, 2014. Contents 1 Introduction 1. AMPL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1. Solvers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2. Install and Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4. 2 AMPL Syntax 5. Model Declaration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. Data Assignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9. Solve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10. Display.
• Nonlinear: Continuous but not all-linear objective and constraints, by any of several meth-ods including reduced gradient, quasi-newton, augmented Lagrangian and interior-point. Un-less other indication is given (see below), possibly optimal over only some local neighborhood. 2
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