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- W107546956 abstract "Various combat models such as deterministic Lanchester, stochastic Lanchester and the general renewal models of combat have been widely used in for the analytical purpose to predict and to simulate the mutual attrition between two opponents[1]. One problem of those analytical solutions is that the methods of exhaustive enumeration, which have strong exponential computation time. Therefore, in practice, they are used for only small-to-moderate-size. The time complexity makes it practically impossible to use them for battles beyond 4 on 4[2]. Investigating the assumptions of the general-renewal model[3] for an army battle, one key requirement is that all combatants choose an opponent and fire independently, the authors consider the suitability of using a parallel approach. This paper discusses the possibility to use a parallel analytical solution of stochastic combat. The discussion is divided into three sections. Firstly, a review of analytical solutions of combat model is given. Secondly, our algorithm of a parallel analytical solution of stochastic combat is illustrated. Thirdly, conclusions are drawn and future directions are highlighted.KeywordsCombat modelingparallel computationHPC application" @default.
- W107546956 created "2016-06-24" @default.
- W107546956 creator A5012206467 @default.
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- W107546956 date "2005-12-29" @default.
- W107546956 modified "2023-10-14" @default.
- W107546956 title "A Parallel Analytical Solution of a Stochastic Combat Model" @default.
- W107546956 cites W2012831978 @default.
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- W107546956 doi "https://doi.org/10.1007/0-306-47015-2_52" @default.
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