Solving generalized transportation problems via pure transportation problems

This paper investigates certain issues of coefficient sensitivity in generalized network problems when such problems have small gains or losses. In these instances, it might be computationally advantageous to temporarily ignore these gains or losses and solve the resultant “pure” network problem. Subsequently, the optimal solution to the pure problem could be used to derive the optimal solution to the original generalized network problem. In this paper we focus on generalized transportation problems and consider the following question: Given an optimal solution to the pure transportation problem, under what conditions will the optimal solution to the original generalized transportation problem have the same basic variables? We study special cases of the generalized transportation problem in terms of convexity with respect to a basis. For the special case when all gains or losses are identical, we show that convexity holds. We use this result to determine conditions on the magnitude of the gains or losses such that the optimal solutions to both the generalized transportation problem and the associated pure transportation problem have the same basic variables. For more general cases, we establish sufficient conditions for convexity and feasibility. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 666–685, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10034     

稳像火控系统误差分析

通过对坦克稳像火控系统预测模型和目标运动状态测量的误差分析,提出提高测量精度和射击命中率的措施。     

微波消解预处理技术用于食品微量元素分析的研究

介绍微波消解预处理技术用于食品消解的一般实验方法、影响消解效果因素分析及相应的最佳条件控制;用AAS法测定预处理样品中的微量元素,结果良好.     

关于意境问题的思考

长期以来 ,在中国古典诗歌的研究中 ,意境都是作为评价诗歌艺术水准的重要标准 ,有时甚至是惟一标准。这种评价标准直接限制了评价者的视线 ,也不符合诗歌创作的实际。本文就此进行了辨析 ,并明确指出 :意境本身只是一个诗歌评价的艺术概念 ,在不同的环境条件下 ,意境本身也是有高低之分的。     

基于马尔可夫分析的人才拥有量研究

基于马尔可夫分析理论,给出了人才拥有量预测的马尔可夫模型,并且讨论了模型中转移概率的确定及模型的预测质量等问题.     

When is model complexity too much? Illustrating the benefits of simple models with Hughes' salvo equations

The simulations that many defense analysts rely upon in their studies continue to grow in size and complexity. This paper contrasts the guidance that the authors have received—from some of the giants of military operations research—with the current practice. In particular, the analytic utility of Hughes' simple salvo equations is compared with that of the complex Joint Warfighting System (JWARS), with respect to JWARS' key performance parameters. The comparison suggests that a family of analytic tools supports the best analyses. It follows that smaller, more agile, and transparent models, such as Hughes' salvo equations, are underutilized in defense analyses. We believe that these models should receive more attention, use, and funding. To illustrate this point, this paper uses two very simple models (by modern standards) to rapidly generate insights on the value of information relative to force strength. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

Optimal stopping in software testing

In this paper we address the problem of how to decide when to terminate the testing/modification process and to release the software during the development phase. We present a Bayesian decision theoretic approach by formulating the optimal release problem as a sequential decision problem. By using a non‐Gaussian Kalman filter type model, proposed by Chen and Singpurwalla (1994), to track software reliability, we are able to obtain tractable expressions for inference and determine a one‐stage look ahead stopping rule under reasonable conditions and a class of loss functions. © 2002 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

一种模糊阶段态势估计方法

态势指标的运动是动态和高度非线性的,甚至无法给出一个确切的数学描述。采用模糊数学这一在军事决策领域中普遍应用的方法,给出了一种态势分析的通用方法。采取模糊因果聚类的方法,利用物理传感器信息和历史数据(历史战例、作战模拟结果等)来静态求取阶段态势指标的估计值,同时采用模糊Bayes决策方法,利用非物理传感器的信息来修正估计,并且给出了优化的态势控制(作战决策)方法。     

核动力装置的(火用)分析

针对压水堆、沸水堆、气冷堆、钠冷堆核动力装置的实际过程,建立了最简单的热动力学模型.利用热力学第二定律建立的火用分析方法,对核动力装置中主要的热量传递、作功与受功过程的不可逆性进行了分析.文中以A型和B型电站压水堆核动力装置为实例进行的火用损失与火用效率的对比计算表明反应堆内裂变能从裂变碎片到燃料的传递过程是整个核动力力装置火用损失最大的地方,其次是堆内燃料元件导热过程,然后依次是汽轮机、蒸发器、冷凝器、管路、泵.而火用效率最低的地方是冷凝器,其次是汽轮机、堆内燃料元件、蒸发器.     

一种基于模糊神经网络的非线性系统故障诊断方法研究

提出了一种基于模糊神经网络的非线性系统故障诊断方法.利用模糊C 均值聚类法对测量空间进行分割,再利用模糊规则对分割后的子空间分别采用BP网络进行逼近,从而获得不同子空间故障输出与测量输入的非线性动力学特性.计算机仿真表明该网络具有良好的泛化性能,方案可行.