Nonlinear Programming in Chemical Process Engineering
Chemical Engineering Department
Carnegie Mellon University
Pittsburgh, PA 15213
Optimization related to chemical processes provides
a rich source of applications of active research areas in nonlinear
programming. This talk highlights a number of case studies for which
large-scale nonlinear programming formulations and solvers are essential.
In particular, the talk highlights the optimization of dynamic systems
including metabolic network works, polymerization reactions and
reservoir estimation problems. The solution of these problems is
aided by filter-based interior point nonlinear programming methods
and extensions to deal with Math Programs with Equilibrium Constraints.