Accession Number : AD0613858

Title :   METHODS OF SOLUTION OF LINEAR PROGRAMS UNDER UNCERTAINTY,

Corporate Author : RAND CORP SANTA MONICA CALIF

Personal Author(s) : Madansky,A.

Report Date : APR 1961

Pagination or Media Count : 10

Abstract : The three most usual methods of reducing the effects of uncertainty in the technology matrix, requirement vector, or cost vector of a linear programming problem are the expected-value solution, the 'fat' solution, and the 'slack' solution. These methods are explained in some detail, and the relation between these various methods is pointed out. (Author)

Descriptors :   (*LINEAR PROGRAMMING, PROBABILITY), (*PROBABILITY, LINEAR PROGRAMMING), STOCHASTIC PROCESSES

Distribution Statement : APPROVED FOR PUBLIC RELEASE