MIT OpenCourseWare

教學大綱

Course Topics

The course takes a unified view of optimization and covers the main areas of application and the main optimization algorithms. It covers the following topics:

  1. Linear Optimization
  2. Robust Optimization
  3. Network Flows
  4. Discrete Optimization
  5. Dynamic Optimization
  6. Nonlinear Optimization

Textbook

Bertsimas, Dimitris, and John Tsitsiklis. Introduction to Linear Optimization. Belmont, MA: Athena Scientific Press, 1997. ISBN: 1886529191.

Requirements

activities percentages
Homework 30%
Midterm Exam 30%
Final Exam 40%