10:30 AM-12:30 PM
Mt. Vernon
With the remarkable increase in computational capability, there has been a concomitant increase in the desire to apply optimization techniques to nonlinear mathematical models of phenomena arising from realistic engineering, science, and business applications. The problems under consideration in this session are characterized by having a large number of variables and/or constraints, thus the algorithms seek to exploit parallel and distributed platforms. Two speakers discuss gradient-based methods, in particular SQP methods, for solving PDE-based optimization problems. The third addresses optimization methods for problems where derivatives are unavailable, and the fourth deals with the the important problem of bounds constraints.
Organizer: Paul T. Boggs