Courses:

Optimization Methods (SMA 5213) >> Content Detail



Syllabus



Syllabus

Amazon logo Help support MIT OpenCourseWare by shopping at Amazon.com! MIT OpenCourseWare offers direct links to Amazon.com to purchase the books cited in this course. Click on the Amazon logo to the left of any citation and purchase the book from Amazon.com, and MIT OpenCourseWare will receive up to 10% of all purchases you make. Your support will enable MIT to continue offering open access to MIT courses.

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

Amazon logo Bertsimas, Dimitris, and John Tsitsiklis. Introduction to Linear Optimization. Belmont, MA: Athena Scientific Press, 1997. ISBN: 9781886529199.

Requirements

activitiespercentages
Homework30%
Midterm Exam30%
Final Exam40%

 








© 2017 Coursepedia.com, by Higher Ed Media LLC. All Rights Reserved.