
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 expectedvalue 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