Convex Analysis and Optimization

Three graphs illustrating min common/max crossing problems.

Min common/max crossing problems. See Lectures 8–9 for more information. (Image by MIT OpenCourseWare.)

Instructor(s)

MIT Course Number

6.253

As Taught In

Spring 2012

Level

Graduate

Cite This Course

Course Description

Course Features

Course Description

This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood.

Other Versions

Related Content

Dimitri Bertsekas. 6.253 Convex Analysis and Optimization. Spring 2012. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


For more information about using these materials and the Creative Commons license, see our Terms of Use.


Close