Tuesday, May 21
12:45-2:15 PM
Salon B
MS23
Optimization in Control and Design Applications (Part I of II)
The application of optimization methods to optimal control and design problems is a challenging and rewarding endeavor. The appropriate formulation of these applications as optimization problems, the computation of derivatives, the efficient solution of mostly very large subproblems, and the convergence analysis for practical optimization algorithms are issues that have to be addressed. The speakers in this minisymposium report on new developments in optimization methods for this class of problems and on recent applications of optimization methods to important industrial problems.
Organizers: Matthias Heinkenschloss, Virginia Polytechnic Institute and State University; Juan Meza, Sandia National Laboratories; and Volker Schulz, Universitat Heidelberg, Germany
- Reduced Hessian SQP Methods for Process Optimization: Some Recent Advances
- Larry Biegler and David Ternet, Carnegie Mellon University
- Numerical Solution of Optimization Boundary Value Problems in Industrial Applications
- Hans Georg Bock, Universitat Heidelberg, Germany; and Volker Schulz, Organizer
- Comparison of Numerical Methods for Optimal Shape Design Problems
Manfred Laumen, Universitat Trier, Germany
MEM, 3/18 /96