The Triangular E-Model of Chance-Constrained Programming with Stochastic A-Matrix
Author(s) -
Willy Gochet,
Manfred Padberg
Publication year - 1974
Publication title -
management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.954
H-Index - 255
eISSN - 1526-5501
pISSN - 0025-1909
DOI - 10.1287/mnsc.20.9.1284
Subject(s) - extension (predicate logic) , matrix (chemical analysis) , mathematics , mathematical optimization , random variable , variable (mathematics) , stochastic programming , conditional probability distribution , computer science , statistics , mathematical analysis , materials science , composite material , programming language
The triangular model of chance-constrained 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.
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