General solution to many‐on‐many heterogeneous stochastic combat
该研究给出了任意断点多对多异质随机战斗的解析解，并清晰定义了每个阶段，计算了相关的瞄准和杀伤概率，对军事运筹和随机过程研究有参考价值。
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 larger-scale 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. © 1996 John Wiley & Sons, Inc.