Accession Number:

ADA137476

Title:

Distributed Optimization Algorithms with Communications,

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS

Personal Author(s):

Report Date:

1983-11-01

Pagination or Media Count:

4.0

Abstract:

This document discusses the convergence properties of asynchronous distributed iterative optimization algorithms, tolerating communication delays. The authors focus on a gradient-type algorithm for minimizing an additive cost function and present sufficient conditions for convergence. They view such an algorithm as a model of adjustment of the decisions of decision makers in an organization and we suggest that our results can be interpreted as guidelines for designing the information flows in an organization. Author

Subject Categories:

  • Statistics and Probability
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE