毁伤目标时间与格斗持续时间的PH表示与特性

本文研究毁伤目标所需时间与格斗持续时间的概率分布．在射击时间间隔服从PH分布的假设下,文章导出了不考虑发现目标因素和考虑该因素二种情况下,毁伤目标时间的PH表示与特性及格斗持续时间的PH表示．最后,文章用二个实例给出了毁伤目标时间概率分布的具体求法．     

需多发命中时毁伤时间的分布与特征

本研究带有搜索系统并且毁伤目标需要多发命中的格斗模型,并利用更新方程导出了毁伤目标所需时间的分布密度与特征函数。最后,章用实例说明了计算过程。     

多因素影响下毁伤目标时间的分布与特征

文章研究搜索型随机格斗中，在射弹飞行时间、携弹数量有限因素影响下如何导出毁伤目标时间的分布与特征的问题，推导出在这些因素共同影响下，毁伤时间密度函数与特征函数的表达式。     

搜索型随机格斗命中次数的分布与毁伤概率

本文研究了搜索型随机格斗模型，采用在时间[0，t]内射击命中目标次数的概率分布与毁伤概率指标来评定射击效果。文章对射击时间间隔随机变量服从的分布采用两种假设t指数分布与一般分布．对指数分布的假设，文章导出的结果比较完善；对一般分布的假设，文章导出了计算射击命中次数概率分布的计算公式。     

一类多对一随机格斗的获胜概率

本研究多对一搜索型随机格斗模型，求出了计算格斗双方各自获胜概率的实用公式。     

一类搜索型随机格斗的获胜概率研究

把随机过程分析引入Lanchester方程就形成了随机格斗理论.运用随机格斗理论研究了潜艇协同隐蔽攻击水面舰艇编队获胜概率的数学模型,利用状态转移图和Laplace变换的性质推导出了2对2搜索型随机格斗中双方的获胜概率公式,并结合潜艇协同隐蔽攻击水面舰艇的实际,计算分析了格斗双方的获胜概率.利用这一公式可以得到概率上的精确解,能够被用来定量评估潜艇协同隐蔽攻击水面舰艇编队的作战效能.     

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本文研究毁伤目标离散时间的概率分布和PH表示.在射击时间间隔服从离散PH分布的条件下,本文导出了不考虑发现目标因素和考虑该因素二种情况下,毁伤目标时间的离散PH表示与分布.同时,文章用实例说明了求毁伤目标离散时间的PH表示、概率分布和毁伤目标平均离散时间的方法.     

一类多对多随机格斗的获胜概率

为了计算出多对多随机格斗的获胜概率,首先推导出多对多随机格斗的状态转移速率,然后应用拉普拉斯变换的性质,分别计算出在不带搜索和带搜索两种情形下,三对二随机格斗中双方各自获胜概率的实用公式.     

印军地基(海基)导弹攻击能力模型分析

印度4月19日成功试射"烈火-5"远程导弹,印度跨入"洲际导弹俱乐部".针对印度高技术地基(海基)导弹武器装备大量装备部队,对印度地基(海基)导弹突防概率、对地毁伤作用、攻击能力—突击某一目标所需导弹数量、攻击强度等方面做了模型分析,以对我军有针对性地开展研究提供一定的参考意义.     

异方差的线性混合模型的参数估计

本文研究既含有固定效应又含有随机效应的线性混合模型,在随机效应的方差不同即异方差情况下,即考虑方差受外界因素的影响,如温度、湿度等,我们称之为协变量,在有协变量情况下对方差建立对数线性模型,运用最大似然估计讨论了固定效应的估计和随机效应的预测,并且用约束最大似然(REML)方法研究对数线性模型中参数和随机误差中参数(离差参数)的估计,并讨论估计量的性质及离差参数估计量的渐近正态性。     

A kind of stochastic duel model for guerrilla war

This paper discusses a stochastic duel model between two forces. On one side are the guerrilla (or terrorists), and on the other an organized force of some sort. The model is called guerrilla war. The guerrilla side has a number of advantages such as choice of location and time of engagement, concealment by topography, observation of the intended target, and line of fire. We represent these advantages in what we believe is a realistic scenario of a duel between the guerrilla force and the organized force. By the four suppositions coinciding with the practical duel background, the paper deduces the formulas for calculating the winning probabilities for the both sides.     

MATADOR: An Analytic Model of a Stochastic Tank Due

By constructing an analytic model of a stochastic tank duel, this paper provides a means for evaluating a number of key performance characteristics of duelling tanks. The model explicitly represents target detection and the time taken to acquire a target and fire, or reload and fire. Additionally, tacticalmanoeuvre and kill probabilities are included. The probability of each possible outcome of such a duel is derived as output from the model.     

Deflated GMRES for systems with multiple shifts and multiple right-hand sides

We consider solution of multiply shifted systems of nonsymmetric linear equations, possibly also with multiple right-hand sides. First, for a single right-hand side, the matrix is shifted by several multiples of the identity. Such problems arise in a number of applications, including lattice quantum chromodynamics where the matrices are complex and non-Hermitian. Some Krylov iterative methods such as GMRES and BiCGStab have been used to solve multiply shifted systems for about the cost of solving just one system. Restarted GMRES can be improved by deflating eigenvalues for matrices that have a few small eigenvalues. We show that a particular deflated method, GMRES-DR, can be applied to multiply shifted systems.In quantum chromodynamics, it is common to have multiple right-hand sides with multiple shifts for each right-hand side. We develop a method that efficiently solves the multiple right-hand sides by using a deflated version of GMRES and yet keeps costs for all of the multiply shifted systems close to those for one shift. An example is given showing this can be extremely effective with a quantum chromodynamics matrix.     

Stochastic resonance induced by novel random transitions of motion of FitzHugh–Nagumo neuron model

In contrast to the previous studies which have dealt with stochastic resonance induced by random transitions of system motion between two coexisting limit cycle attractors in the FitzHugh–Nagumo (FHN) neuron model after Hopf bifurcation and which have dealt with the phenomenon of stochastic resonance induced by external noise when the model with periodic input has only one attractor before Hopf bifurcation, in this paper we have focused our attention on stochastic resonance (SR) induced by a novel transition behavior, the transitions of motion of the model among one attractor on the left side of bifurcation point and two attractors on the right side of bifurcation point under the perturbation of noise. The results of research show: since one bifurcation of transition from one to two limit cycle attractors and the other bifurcation of transition from two to one limit cycle attractors occur in turn besides Hopf bifurcation, the novel transitions of motion of the model occur when bifurcation parameter is perturbed by weak internal noise; the bifurcation point of the model may stochastically slightly shift to the left or right when FHN neuron model is perturbed by external Gaussian distributed white noise, and then the novel transitions of system motion also occur under the perturbation of external noise; the novel transitions could induce SR alone, and when the novel transitions of motion of the model and the traditional transitions between two coexisting limit cycle attractors after bifurcation occur in the same process the SR also may occur with complicated behaviors types; the mechanism of SR induced by external noise when FHN neuron model with periodic input has only one attractor before Hopf bifurcation is related to this kind of novel transition mentioned above.     

双边截断型分布族参数的经验Bayes估计

在Linex损失函数下,讨论一类双边截断型分布族参数的经验Bayes（EB）估计问题,构造了参数的EB估计,在适当的条件下给出了该估计的收敛速度,最后给出例子,说明定理条件的合理性。     

Distribution functions in stochastic programs with recourse: A parametric analysis

This paper studies the behavior of the optimum value of a two-stage stochastic program with recourse (random right-hand sides) as the mean and covariance matrices defining the random variables in the program are perturbed. Several results for convex programs are developed and are used to study the effect such perturbations have on the regularity properties of the stochastic programs. Cost associated with incorrectly specifying the mean and covariance matrices are discussed and estimated. A stochastic programming model in which the random variable is dependent on the first-stage decision is presented.