OPTIMIZATION: TECHNIQUES AND APPLICATIONS

Catalog description

The course takes a unified view of optimization, covering the main areas of application and the main optimization algorithms. The topics include linear optimization, robust optimization, network flows, discrete optimization, dynamic optimization and nonlinear optimization. The course involves learning about, using, and analyzing the results of state of the art optimization software. PREREQ: ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE