Introduction to Optimization

MATP-6600

Coverage of several areas of interest in optimization, with proofs of some major results. Convex sets and functions. Optimality conditions in nonlinear optimization. Lagrangian duality. Linear, quadratic, and conic optimization. Convex relaxations of integer optimization problems. Stochastic optimization.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Introduction To Optimization (4c)
  • Rongjie Lai
Seats Taken: 0/15
2022
Introduction To Optimization (4c)
  • Rongjie Lai
Seats Taken: 24/15
2021
Introduction To Optimization (4c)
  • Rongjie Lai
Seats Taken: 23/30
2020
Introduction To Optimization (4c)
  • Rongjie Lai
Seats Taken: 14/20
2019
Introduction To Optimization (4c)
  • Rongjie Lai
Seats Taken: 21/30
2018
Introduction To Optimization (4c)
  • John E. Mitchell
  • Yangyang Xu
Seats Taken: 26/30
2017
Introduction To Optimization (4c)
  • Yangyang Xu
Seats Taken: 26/30
2016
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 15/30
2015
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 15/30
2014
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 18/30
2013
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 21/30
2012
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 11/30
2011
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 4/30
2010
Nonlinear Programming (4c)
  • Kristin P Bennett
Seats Taken: 8/30
2009
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 10/30
2008
Nonlinear Programming (4c)
  • Kristin P Bennett
Seats Taken: 5/30
2007
Nonlinear Programming (4c)
  • John E. Mitchell
Seats Taken: 9/30