Computational Optimization

MATP-4820

An introduction to nonlinear programming. Models, methods, algorithms, and computer techniques for nonlinear optimization are studied. Students investigate contemporary optimization methods both by implementing these methods and through experimentation with commercial software. Nonmajors wishing to gain practical optimization skills are welcomed in this course. A course project will allow students to explore optimization methods and practical problems directly related to their interests.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Computational Optimization (4c)
  • Yangyang Xu
Seats Taken: 29/50
2022
Computational Optimization (4c)
  • Yangyang Xu
Seats Taken: 35/50
2021
Computational Optimization (4c)
  • Yangyang Xu
Seats Taken: 27/40
2020
Computational Optimization (4c)
  • Yangyang Xu
Seats Taken: 40/40
2019
Computational Optimization (4c)
  • Yangyang Xu
Seats Taken: 42/40
2018
Computational Optimization (4c)
  • Rongjie Lai
Seats Taken: 20/35
2017
Computational Optimization (4c)
  • Rongjie Lai
Seats Taken: 34/30
2016
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 27/40
2015
Computational Optimization (4c)
  • Kristin P Bennett
  • Michael Kupferschmid
Seats Taken: 20/30
2014
Computational Optimization (4c)
  • Michael Kupferschmid
  • Kristin P Bennett
Seats Taken: 19/35
2013
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 27/40
2012
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 25/40
2011
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 19/40
2010
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 13/40
2009
Computational Optimization (4c)
  • Jennifer A. Blue
Seats Taken: 13/25
2008
Computational Optimization (4c)
  • Kristin P Bennett
Seats Taken: 12/30
2007