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:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Algoritmo
  • Algoritmo
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Ciencias de la computación
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Objetivos de Desarrollo Sostenible:

  • ODS 17: Alianzas para lograr los objetivos
  • ODS 8: Trabajo decente y crecimiento económico
  • ODS 9: Industria, innovación e infraestructura
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