TY - GEN
T1 - A Proximal Multiplier Method for Convex Separable Symmetric Cone Optimization
AU - Quiroz, Erik Alex Papa
AU - Luis, Julio López
AU - Lengua, Miguel Cano
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/5/28
Y1 - 2020/5/28
N2 - This work is devoted to the study of a proximal decomposition algorithm for solving convex symmetric cone optimization with separable structures. The algorithm considered is based on a decomposition method and proximal distances. Under suitable assumptions, we prove that each limit point of the primal-dual sequences generated by the algorithm solves the problem. Finally, the global convergence is established.
AB - This work is devoted to the study of a proximal decomposition algorithm for solving convex symmetric cone optimization with separable structures. The algorithm considered is based on a decomposition method and proximal distances. Under suitable assumptions, we prove that each limit point of the primal-dual sequences generated by the algorithm solves the problem. Finally, the global convergence is established.
KW - Descomposition method
KW - Euclidean Jordan algebra
KW - Proximal distance
KW - Symmetric cone optimization
UR - http://www.scopus.com/inward/record.url?scp=85092355824&partnerID=8YFLogxK
U2 - 10.1145/3404716.3404734
DO - 10.1145/3404716.3404734
M3 - Conference contribution
AN - SCOPUS:85092355824
T3 - ACM International Conference Proceeding Series
SP - 92
EP - 97
BT - Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020
T2 - 5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020
Y2 - 28 May 2020 through 30 May 2020
ER -