Combinatorial approaches to Monte Carlo estimation of network lifetime distribution | Zendy

Gertsbakh I. | Zendy; Shpungin Y. | Zendy

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Combinatorial approaches to Monte Carlo estimation of network lifetime distribution

Author(s) -

Gertsbakh I.,

Shpungin Y.

Publication year - 2004

Publication title -

applied stochastic models in business and industry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.413

H-Index - 40

eISSN - 1526-4025

pISSN - 1524-1904

DOI - 10.1002/asmb.514

Subject(s) - monte carlo method , computer science , distribution (mathematics) , mathematical optimization , estimation , statistical physics , mathematics , statistics , engineering , physics , mathematical analysis , systems engineering

The purpose of this paper is estimating the lifetime distribution for two types of dynamic networks. The first one is a network, with edges existing in time, which may be erased independently of each other. The second one is a network with renewable edges. We consider effective Monte Carlo methods based on combinatorial approaches which were suggested earlier for estimating parameters of static networks. Copyright © 2004 John Wiley & Sons, Ltd.

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