Beyond the blackbox: Optimization for science and engineering
Topic
Beyond the blackbox: Optimization for science and engineering
Speakers
Details
What do designing a hybrid vehicle engine, a microscopic description of the fission process, a groundwater remediation plan, a fast code on a modern supercomputer, and an experimental X-ray beam have in common?
All are examples of challenging simulation-based optimization problems. The difference between success and failure in solving these optimization problems often depends on how the problems are modeled. In this talk, we describe our work exploiting structure in such problems to obtain solutions in a minimal number of numerical simulations
All are examples of challenging simulation-based optimization problems. The difference between success and failure in solving these optimization problems often depends on how the problems are modeled. In this talk, we describe our work exploiting structure in such problems to obtain solutions in a minimal number of numerical simulations
Additional Information
Calgary Place Tower 1
330 5th Avenue SW, 11th Floor
Sign-up Deadline:
Friday, May 18, 2012
The Pacific Institute for the Mathematical Sciences is grateful for the support of Shell Canada Limited, Alberta Advanced Education and Technology, and the University of Calgary for their support of this series of lectures.
Dr. Stefan Wild, Mathematics and Computer Science Division, Argonne National Laboratory
