OPTIMIZATION: TECHNIQUES AND APPLICATIONS
2018 Spring Term
Computer Science 735
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.
Other Requirements: PREREQ: ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/22 - 05/11 (1)|