Survey of optimization methods for students whose main focus is on application of optimization. Covers modeling, search methods, convexity, linear programming, sensitivity, networks, multiobjective optimization, heuristic methods, integer programming, nonlinear programming and dynamic programming; use of modeling languages and optimization tools, including NEOS. Offered by Systems Engr & Operations Rsch. May not be repeated for credit.
Data-driven Large-scale Optimization
Host University
George Mason University
Semester
Spring 2025
Course Number
OR 604 DL1
Credits
3
Discipline
Systems Engineering, Operations Research and Engineering Management
Instructor
Charbonneau, Steven (scharbo2@gmu.edu)
Times and Days
7:20pm-10:00pm
T
Course Information
Prerequisites
OR 531 and CS 504 or higher programming course.