Weighted Random Mappings; Properties and Applications.

Abstract

A random mapping is a random graph where ever vertex has outdegree one. Previous work was concerned mostly with a uniform probability distribution on these mappings. In contrast, this investigation assumed a non-uniform model, where differ mappings have different probabilities. An important application is the analysis of factorization heuristic due to Pollard and Brent. The model involved is a random mapping where every vertex has indegree either 0 or d. This distribution belongs to class called permutation invariant. A study of the general properties of permutation invariant mappings combined with the analysis of this particular distribution made possible the computation of the expected running time of this factorization method, settling an open conjecture of Pollard.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1985
Accession Number
ADA328563

Entities

People

  • Andrei Z. Broder

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Complex Variables
  • Computational Science
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Construction
  • Information Processing
  • Information Theory
  • Mathematical Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Sequences
  • Statistics

Fields of Study

  • Computer science
  • Mathematics

Readers

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