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Chapter and Conference Paper
Revisiting Expression Representations for Nonlinear AMPL Models
AMPL facilitates stating and solving nonlinear programming problems involving algebraically defined objectives and constraints. For solving such problems, the AMPL/solver interface library provides routines th...
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Chapter and Conference Paper
The AMPL Modeling Language: An Aid to Formulating and Solving Optimization Problems
Optimization problems arise in many contexts. Sometimes finding a good formulation takes considerable effort. A modeling language, such as AMPL, facilitates experimenting with formulations and simplifies using...
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Chapter and Conference Paper
Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation
Automatic differentiation (AD) is useful in transient sensitivity analysis of a computational simulation of a bipolar junction transistor subject to radiation damage. We used forward-mode AD, implemented in a ...
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Chapter
Design Principles and New Developments in the AMPL Modeling Language
The design of the AMPL modeling language stresses naturalness of expressions, generality of iterating over sets, separation of model and data, ease of data manipulation, and automatic updating of derived value...
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Chapter
A Primal-dual Interior Method for Nonconvex Nonlinear Programming
Primal-dual interior methods for nonconvex nonlinear programming have recently been the subject of significant attention from the optimization community. Several different primal-dual methods have been suggest...