Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization
- DOI
- 10.1109/cdc51059.2022.9993284
- Published
- 2022-12-06
- Container
- 2022 IEEE 61st Conference on Decision and Control (CDC)
- Publisher
- IEEE
- Open access
- unknown
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BibTeX
@article{allodium:10.1109/cdc51059.2022.9993284,
title = {Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization},
author = {Michelangelo Bin and Ivano Notarnicola and Thomas Parisini},
year = {2022},
journal = {2022 IEEE 61st Conference on Decision and Control (CDC)},
doi = {10.1109/cdc51059.2022.9993284},
url = {https://doi.org/10.1109/cdc51059.2022.9993284}
}RIS
TY - JOUR TI - Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization AU - Michelangelo Bin AU - Ivano Notarnicola AU - Thomas Parisini PY - 2022 JO - 2022 IEEE 61st Conference on Decision and Control (CDC) DO - 10.1109/cdc51059.2022.9993284 UR - https://doi.org/10.1109/cdc51059.2022.9993284 ER -
APA
Bin, M., Notarnicola, I., & Parisini, T. (2022). Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. 2022 IEEE 61st Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc51059.2022.9993284
Source records
- crossref · retrieved 2026-09-25T08:41:59.206Z