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- Regression will be covered if time permits.
- [Assignments](http://www.cs.cornell.edu/courses/CS4786/2015sp/assignments.htm)
- [Lectures](http://www.cs.cornell.edu/courses/CS4786/2015sp/lectures.htm)
-- [CVX 101](https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/info) **Convex Optimization** *Stanford University*
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+- [CVX 101](https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/info) **Convex Optimization** *Stanford University*
- The course concentrates on recognizing and solving convex optimization problems that arise in applications. Topics addressed include the following. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance.
- [Textbook](http://web.stanford.edu/~boyd/cvxbook/)
- [Lectures and Assignments](https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/courseware/7206c57866504e83821d00b5d3f80793/)