Introduction to Convex Optimization
6.079 · Electrical Engineering and Computer Science · Undergraduate · Fall 2009
Prof. Stephen Boyd, Prof. Pablo Parrilo
<p>This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, ma…
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Prof. Stephen Boyd, Prof. Pablo Parrilo. 6.079 Introduction to Convex Optimization. Fall 2009. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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