Convex optimization techniques in system identification
نویسنده
چکیده
In recent years there has been growing interest in convex optimization techniques for system identification and time series modeling. This interest is motivated by the success of convex methods for sparse optimization and rank minimization in signal processing, statistics, and machine learning, and by the development of new classes of algorithms for large-scale nondifferentiable convex optimization.
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