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General solution to many-on-many heterogeneous stochastic combat

✍ Scribed by Shahrooz Parkhideh; A. V. Gafarian

Book ID
102661371
Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
669 KB
Volume
43
Category
Article
ISSN
0894-069X

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✦ Synopsis

Stochastic combat models are more realistic than either deterministic or exponential models. Stochastic combat models have been solved analytically only for small combat sizes. It is very difficult, if not impossible, to extend previous solution techniques to largerscale combat. This research provides the solution for many-on-many heterogeneous stochastic combat with any break points. Furthermore, every stage in stochastic combat is clearly defined and associated aiming and killing probabilities are calculated.

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