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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/21739
Title: 
The hierarchical model of branch planning with random coefficients
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Russian Acad Sci
ISSN: 
1064-2307
Abstract: 
We consider the management branch model where the random resources of the subsystem are given by the exponential distributions. The determinate equivalent is a block structure problem of quadratic programming. It is solved effectively by means of the decomposition method, which is based on iterative aggregation. The aggregation problem of the upper level is resolved analytically. This overcomes all difficulties concerning the large dimension of the main problem.
Issue Date: 
1-Jul-1998
Citation: 
Journal of Computer and Systems Sciences International. New York: Maik Nauka/interperiodica, v. 37, n. 4, p. 622-630, 1998.
Time Duration: 
622-630
Publisher: 
Maik Nauka/interperiodica
Source: 
http://getinfo.de/app/Combining-Artificial-Intelligence-and-Human-Problem/id/BLCP%3ACN035012308
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/21739
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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