This workshop requires advance registration plus a $140 fee ($80 for
students).
You can register
online or print
this form and mail it in.
AMPL allows people to create models with maximum productivity. By using AMPL's natural algebraic notation, even a very large, complex model can often be stated in a concise (often less than one page), understandable form. Since AMPL models are easy to understand, debug and modify, AMPL also makes maintaining models easy.
The major goal of the workshop is to provide students, researchers and practitioners with an understanding of how to use AMPL to model problems, test algorithmic approaches and implement decision support systems. The workshop is lecture-based, rather than hands-on, due to the time limitations. Attendees are expected to have some practical optimization and computational experience, but exposure to algebraic modeling systems is not required.
Modeling topics to be covered include an introduction to AMPL using a sample problem illustrating AMPL syntax and the AMPL user interface, modeling syntax and solver control, linear and integer models, piecewise-linear models, networks, and general nonlinear models. System topics will include solver directives, command syntax, input/output, examining and modifying models, flow control and looping, debugging scripts, and using AMPL to build decision-support systems and database interactions.