Accession Number:

AD0412731

Title:

MONTE CARLO METHODS AND THE PERT PROBLEM

Descriptive Note:

Corporate Author:

CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER

Personal Author(s):

• Van Slyke, Richard M.

Report Date:

1963-05-14

Pagination or Media Count:

38.0

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.

Descriptors:

• *MONTE CARLO METHOD
• NETWORKS
• PAPER
• PATHS
• PERT
• REDUCTION
• STATISTICS
• STOCHASTIC PROCESSES

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE