不相容矩阵方程AXB=D的反中心对称迭代解

研究了不相容矩阵方程AXB=D的反中心对称最佳逼近解,基于经典共轭梯度法思想,构造了求解这一问题的迭代算法,证明了该算法的有限终止性并给出了该方法的误差估计,最后利用具体的数值例子验证了算法的有效可行性。     

一类偶数阶非线性中立型偏微分方程组的振动判据

讨论一类偶数阶非线性中立型偏微分方程组的振动性,利用Green公式和边值条件将这类非线性中立型偏微分方程组的振动问题转化为中立型微分不等式不存在最终正解的问题,并利用最终正解的定义和微分不等式方法,获得了该类方程组在两类不同边值条件下所有解振动的若干充分性条件。所得结果为解决物理学、生物学、工程学等学科领域中的实际问题提供了数学理论基础。     

一类半参数可靠性回归模型估计的强相合性

对半参数回归模型Yi=xiβ+g(ti)+εi,i=1,2,…,n定义了参数β与回归函数g(·)的估计,并证明了 它们的强相合性。     

A sequential partial information bomber-defender shooting problem

A bomber carrying homogenous weapons sequentially engages ground targets capable of retaliation. Upon reaching a target, the bomber may fire a weapon at it. If the target survives the direct fire, it can either return fire or choose to hold fire (play dead). If the former occurs, the bomber is immediately made aware that the target is alive. If no return fire is seen, the true status of the target is unknown to the bomber. After the current engagement, the bomber, if still alive, can either re-engage the same target or move on to the next target in the sequence. The bomber seeks to maximize the expected cumulative damage it can inflict on the targets. We solve the perfect and partial information problems, where a target always fires back and sometimes fires back respectively using stochastic dynamic programming. The perfect information scenario yields an appealing threshold based bombing policy. Indeed, the marginal future reward is the threshold at which the control policy switches and furthermore, the threshold is monotonic decreasing with the number of weapons left with the bomber and monotonic nondecreasing with the number of targets left in the mission. For the partial information scenario, we show via a counterexample that the marginal future reward is not the threshold at which the control switches. In light of the negative result, we provide an appealing threshold based heuristic instead. Finally, we address the partial information game, where the target can choose to fire back and establish the Nash equilibrium strategies for a representative two target scenario.     

使用位流重定位与差异配置在线演化数字系统

利用位流重定位与差异配置技术对现有基于动态部分重构的演化硬件实现方法进行改进,以解决其演化复杂电路时位流存储开销大和演化速度慢的问题。利用Xilinx早期获取部分重构技术,定制能实现位流重定位的可演化IP核。原始位流文件经设计形成算子核位流库存于外部CF卡上,方便系统调用。将现场可编程门阵列片内软核处理器Micro Blaze作为演化控制器,采用染色体差异配置技术,在线实时调节可演化IP核的电路结构,构成基于片上可编程系统的自演化系统。以图像滤波器的在线演化设计为例,在Virtex-5现场可编程门阵列开发板ML507上对系统结构和演化机制进行验证,结果表明,所提演化机制能有效节省位流存储空间,提高演化速度。     

抗差最小二乘估计在惯组外场标定中的应用

惯组在外场进行标定时常常会受到环境的振动干扰,从而会对惯组的标定精度造成极大的影响.为解决这一问题,在分析了粗差对惯组标定精度影响的前提下,建立了一种改进的辨识惯组误差系数的数学模型,使其能够分辨出那些受到振动干扰影响的惯组误差系数.最后利用抗差最小二乘估计对惯组误差系数进行处理,通过等价权函数的连续降权和连续减弱影响处理,抵制了异常数据对惯组标定精度的影响.仿真结果表明,抗差最小二乘估计具有很强的抗差能力,能有效减弱异常干扰对参数估计的影响,提高惯组外场标定的精度和数据的可靠性.     

Economic Performance And Terrorist Activity In Latin America

We investigate the link between economic performance and terrorism for 18 Latin American countries from 1970 to 2007, taking into account the potentially complex nature of this link. Panel causality analysis findings indicate that during this period, terrorism had no causal effect on economic growth. By contrast, we find that growth reduced terrorism in the less developed but not in the higher developed Latin American economies. We argue that group-specific differences (linked to patterns of economic development) govern this causal heterogeneity. From a series of negative binomial regressions we gain additional support for our findings, while also identifying further determinants of terrorism.     

ANALYSING THE DETERMINANTS OF TERRORISM IN TURKEY USING GEOGRAPHICALLY WEIGHTED REGRESSION

This paper investigates the determinants of provincial terrorism in Turkey taking spatial dimension into account for the time period 1990–2006. Following a traditional global regression analysis, spatial variations in the relationships are examined with geographically weighted regression (GWR) to obtain locally different parameter estimates. Empirical results indicate that increases in income and schooling ratio tend to reduce the provincial average level of terrorism, whereas an increase in unemployment enhances it. Moreover, GWR results indicate that the provincial effects of per capita income and education are more pronounced for the Eastern and South Eastern provinces compared to the Western provinces.     

Partial input to output impacts in DEA: Production considerations and resource sharing among business subunits

Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of peer decision‐making units (DMUs), in a multiple input/output setting. Although it is generally assumed that all outputs are impacted by all inputs, there are many situations where this may not be the case. This article extends the conventional DEA methodology to allow for the measurement of technical efficiency in situations where only partial input‐to‐output impacts exist. The new methodology involves viewing the DMU as a business unit, consisting of a set of mutually exclusive subunits, each of which can be treated in the conventional DEA sense. A further consideration involves the imposition of constraints in the form of assurance regions (AR) on pairs of multipliers. These AR constraints often arise at the level of the subunit, and as a result, there can be multiple and often inconsistent AR constraints on any given variable pair. We present a methodology for resolving such inconsistencies. To demonstrate the overall methodology, we apply it to the problem of evaluating the efficiencies of a set of steel fabrication plants. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

基于Mamdani模糊推理的核动力装置技术状态评估

分析了传统二元逻辑应用于核动力装置部分失效技术状态评估时的局限性,概述了Mamdani模糊推理的基本技术;结合状态评估实例,提出了基于Mamdani模糊推理的核动力装置系统级的技术状态评估方法,为系统部分失效的技术状态评估提供了一种新的技术途径。