METHODS OF ESTIMATION FOR QUASI-INDEPENDENCE IN CONTINGENCY TABLES

1.IntroductionAnUInberofauthorshaveconsideredtheproblemoffittingmodelsofquasi-independencetocontingenCytabledatawhichareeithertriangUlarorhaveanexcludeddiagonal.hithispaperthevariousmethodsproposedforfittingthesemodelsarecompared.ItisthenshoWnthstparameterestimatesarethesamefordifferentmodelsinsomecases.Anew,verysample,easytoimplemeDtalgoritlunispreseDted.Finallysomepreviousiterstivemethodsarecomparedwiththenewmethod.2.Quasi-IndependenceModeisforContingencyamblesSupposethatatwo-waycolltin…     

UNIFORM ALGORITHM FOR TRANSIENT SOLUTIONS OF GENERALIZED QUASI-BIRTH-DEATH PROCESSES

1.IntroductionForstochasticmodels,itisdunculttoanalyzetheirtransientbehavior.EvenforthemostsimplequeuingsystemM/M/1,itisnoteasytocomputeitstransielltqueuelengthdistriblltionwhichinvolvesBesselfunctions.ThuS,approximationsandalgorithmshaveplayedamajorroleinanalyzingthetransieDtaspectsofstochasticmodels.MarkovohioandMarkovprocessesareimportaltoolsforanalyzingandStudyingstochasticmodels.ForabatestateMarkovprocesses)algorithmsfortransientsolutionShavebeentreatedextensivelyintheliterature,e.g.,…     

The M/PH/1 queue with working vacations and vacation interruption

We study an M/PH/1 queue with phase type working vacation and vacation interruption where the vacation time follows a phase type distribution. The server serves the customers at a lower rate in a vacation period. The server comes back to the regular busy period at a service completion without completing the vacation. Such policy is called vacation interruption. In terms of quasi birth and death process and matrix-geometric solution method, we obtain the stationary queue length distribution. Moreover we obtain the conditional stochastic decomposition structures of queue length and waiting time when the service time distribution in the regular busy period is exponential.     

Runge-Kutta方法求解结构动力学方程

将几种具有不同稳定性的Runge-Kutta方法应用到结构动力学方程的数值求解中。针对增量形式的动力学方程,使用改进的Newton-Raphson迭代,研究了减少计算量的两种方法：（1）使用单对角隐式Runge-Kutta方法,（2）应用转化矩阵。采用逼近算子的谱半径分析了稳定性与数值阻尼特性,解释了L-稳定方法抑制高频振荡的原因。数值算例表明在精确解上较小的物理阻尼能有效的抑制高频振荡,但对各种直接积分方法的影响很小,高精度的L-稳定Runge-Kutta方法能在有效抑制高频振荡的同时高精度的求解低频振动。

Abstract：

Several Runge-Kutta methods with the different stability were applied to solve the equations of motion in structural dynamics. For incremental dynamical equations,using the modified Newton-Raphson iteration,two methods to reduce the amount of work were proposed. The first one is the singly diagonally implicit Runge-Kutta methods,and the second one is to apply the transform matrix. Using the spectral radii of approximation operators,the stability analysis and the numerical damping property were studied,and the reason why the L-stability methods could wipe out the high oscillations was explained. Numerical example was solved by several direct integration methods,the result show that the small physical damping can wipe out high oscillations effectively on exact solution,but it has little effect on numerical solution,and the high order L-stability Runge-Kutta methods can wipe out the high oscillation effectively,at the same time,solve the vibration of low frequencies with high accuracy.     

时滞多变量时变系统的最优控制混合仿真研究

应用最优控制理论的极小值原理和参数优化理论 ,叙述了具有常数时滞的多变量时变系统的最优控制算法 ,基于该算法 ,提出了这类系统的数模混合仿真方法和实践方法。混合结果表明 :提出的算法是收敛的 ,且收敛速度优于全数字仿真结果。     

Primary Structural and Quantitative Analysis of Infeasible Solution to Job shop Scheduling Problem

1　IntroductionTheJobShopSchedulingProblemisawell-knownNP-hardproblem,whichattractslotsofmathematiciansallovertheworldspendingmuchtimeandenergyinthisfield.Uptonowtherearemanyefficientheuristicalgorithms,whichhadalreadybeendeveloped,buttheinfeasiblesolutioncertainlypossessesthemajorityofsearchspacewhichhasinfluencedtheefficiencyofthesealgorithms.Atthemoment,noonehasbeenfoundtobededicatingtothequantitativeanalysisoftheinfeasiblesolutionproblem.InthispaperthestructureofinfeasiblesolutiontoJSS…     

单重延误休假的M~x/G(M/G)/1可修排队系统分析(Ⅰ)—— 一些排队指标

考虑具有单重延误休假的MxG(MG)1可修排队系统,其中休假时间、服务时间、修理时间和延误休假时间都为任意分布(不一定是连续型),采用一种较简洁的方法,我们获得队长的瞬态解、平稳解和队长的随机分解表达式,同时给出了一些特殊情形下队长的随机分解结果     

高阶非线性控制系统的适应性仿真研究

针对带有外部扰动和参数摄动的不确定高阶非线性系统,利用积分行为补偿系统的各种未知因素,设计适应性非线性控制器(ANLC),并提出了全面的控制器适应性评价方法。首先结合典型信号扰动试验和模型参数摄动试验,检验系统的抗扰性和鲁棒稳定性;然后引入神经网络和Taylor级数展开理论构造非线性函数,改变高阶非线性系统的模型结构,利用Monte-Carlo随机试验方法,进行模型摄动的性能鲁棒性分析;并与精确反馈线性化(EFL)方法进行了定量比较。结果表明,适应性非线性控制器(ANLC)具有很强的适应性能,是解决不确定高阶非线性系统控制的有效途径。     

基于理想点的三角模糊数多指标决策法

研究了属性权重和属性值均以三角模糊数形式给出的模糊多指标决策问题,定义了三角模糊数正理想方案和负理想方案,由此给出了三角模糊数多指标决策问题的理想点法。该方法简单实用,所需信息小.最后用该方法分析了一个实际问题。     

非线性随机延迟微分方程Euler-Maruyama方法的收敛性

首先利用附近已有节点上的值通过插值对延迟项进行数值逼近,这是一种崭新的尝试;然后针对较一般情形下的一类非线性随机延迟微分方程初值问题,得到了带线性插值的Euler-Maruyama方法在均方意义下是收敛的理论结果,它部分推广了已有文献中的相关结论。