Distributed convex optimization using ADMMDistributed convex optimization using ADMM
Διπλωματική Εργασία
Diploma Work
2015-01-092014enLately, 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. http://creativecommons.org/licenses/by/4.0/Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών ΥπολογιστώνChristodouleas_Dimitrios_Dip_2014.pdfChania [Greece]Library of TUC2015-01-09application/pdf759.5 kBfree
Christodouleas Dimitrios
Χριστοδουλεας Δημητριος
Garofalakis Minos
Γαροφαλακης Μινως
Digalakis Vasilis
Διγαλακης Βασιλης
Liavas Athanasios
Λιαβας Αθανασιος
Πολυτεχνείο Κρήτης
Technical University of Crete
Convex optimization
Parallel algorithms
Learning, Machine
machine learning
learning machine
Processing, Signal
signal processing
processing signal