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Showing 1 to 1 of 1 for “"Parallel and distributed optimization"”.
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Generalizations of the Alternating Direction Method of Multipliers for Large-Scale and Distributed Optimization
Due to the dramatically increasing demand for dealing with "Big Data", efficient and scalable computational methods are highly desirable to cope with the size of the data. The alternating direction method of multipliers (ADMM), as a versatile algorithmic tool, has proven to be very effective at …