The Triangular E-Model of Chance-Constrained Programming with Stochastic A-Matrix.

Abstract

The triangular model of chance-constrined programming with stochastic A-matrix and deterministic right hand side is considered. The use of conditional probabilities makes it possible to solve this problem for any type of distribution function of the elements of the A-matrix provided that there is only one decision variable at each stage. The extension of the model to several decision variables per stage is possible under certain conditions and for special distribution (stable distributions) of the elements of A. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1971
Accession Number
AD0730976

Entities

People

  • M. Padberg
  • W. Gochet

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Computer Programming
  • Computing-Related Activities
  • Distribution Functions
  • Functions (Mathematics)
  • Mathematics
  • Probability

Fields of Study

  • Mathematics

Readers

  • Operations Research