Accession Number:

AD0657431

Title:

A NOTE ON SOME STOCHASTIC APPROACHES TO NONSTOCHASTIC DISCRETE PROGRAMMING.

Descriptive Note:

Research rept.,

Corporate Author:

CARNEGIE INST OF TECH PITTSBURGH PA MANAGEMENT SCIENCES RESEARCH GROUP

Personal Author(s):

Report Date:

1967-08-01

Pagination or Media Count:

16.0

Abstract:

Some ways are proposed for assigning best probabilities to the values assumed by the variables of a deterministic integer linear programming problem. Our results, which can be used in the framework of the Reiter and Rice discrete optimization procedure and the Graves and Whinston confidence level procedure, also give meaningful conditional probabilities and suggest other stochastic approaches to discrete linear programming. Author

Subject Categories:

  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE