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CVX101: Convex Optimization

Stephen Boyd, Henryk Blasinski Stanford University @StanfordOnline
Class Start: TBA
Duration: 8 weeks
Approximate Workload: 10 hours/week
Certificate: Yes
Level: advanced
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This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: 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.
Categories: [Engineering ]

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Anonymous (Singapore, Singapore) , 2014-07-20
Great lecturer

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