Optimization Algorithms on Random Graphs,

Abstract

We consider random graphs on vertices 0,1,2,...,n in which each edge, independent of the others, is present with probability p and absent with probability q=1-p. On such a graph we consider two different random walks starting with vertex n, moving at each step from a vertex to a lower-numbered neighbor, and stopping when they reach either vertex 0 or a sink, a vertex with no lower-numbered neighbor. These walks are simplified attempts to reproduce probabilistically the behavior of the simplex algorithm on linear programs. We derive some simple asymptotic results on the distribution of the number of sinks in a random graph, and also on the distributions of the numbers of steps needed by each of the two random walks.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA115804

Entities

People

  • D. G. Kelly
  • D. J. A. Welsh

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Efficiency
  • Heuristic Methods
  • Linear Programming
  • Normal Distribution
  • Operations Research
  • Optimization
  • Probability
  • Random Variables
  • Random Walk
  • Simplex Method
  • Systems Analysis

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Graph Algorithms and Convex Optimization.