Designing linear distributed algorithms with memory for fast convergence
Abstract:
Motivated by both distributed computation and decentralized control applications, we studied the distributed linear iterative algorithms with memory. Specifically, we showed that the system of linear equations Gx = b can be solved through a distributed linear iteration for arbitrary invertible G using only a single memory element at each processor. Further, we demonstrated that the memoried distributed algorithm can be designed to achieve much faster convergence than a memoryless distributed algorithm. Two small simulation examples were included to illustrate the results. Copyright © 2011 John Wiley & Sons, Ltd.
Año de publicación:
2012
Keywords:
- decentralized control theory
- distributed algorithms
- numerical algorithms
- large-scale networks
Fuente:
scopusTipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Algoritmo
- Algoritmo
- Ciencias de la computación
Áreas temáticas de Dewey:
- Ciencias de la computación
Objetivos de Desarrollo Sostenible:
- ODS 17: Alianzas para lograr los objetivos
- ODS 8: Trabajo decente y crecimiento económico
- ODS 9: Industria, innovación e infraestructura