Dimitrios Christodouleas, "Numerical Methods for Parallel and Distributed Computing", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2015
https://doi.org/10.26233/heallink.tuc.23856
Lately, in engineering it has been necessary to develop algorithms that handle “big data” optimization problems in a distributed manner. In this thesis, we present ADMM (Alternating Direction Method of Multipliers) algorithm, as the basic tool for solving these kinds of problems, and its application in machine learning and signal processing problems.