MONTE CARLO METHODS AND THE PERT PROBLEM

Abstract

The purpose of this paper is to try to charac terize the qualitative aspectsdividual networks which indicate whether the reduction of a stochastic longest path problem to a de terministic one is adequate and to some extent, to estimate the magnitude of the errors involved.

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Document Details

Document Type
Technical Report
Publication Date
May 14, 1963
Accession Number
AD0412731

Entities

People

  • Richard M. Van Slyke

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Business Administration
  • Data Science
  • Estimators
  • Information Science
  • Knowledge Management
  • Linear Programming
  • Mathematics
  • Monte Carlo Method
  • Navy
  • New York
  • Normal Distribution
  • Operations Research
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Mathematics

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation
  • Operations Research