EDGE RECONSTRUCTION OF PLANAR GRAPHS WITH MINIMUM DEGREE AT LEAST THREE-(Ⅱ)

ＥＤＧＥＲＥＣＯＮＳＴＲＵＣＴＩＯＮＯＦＰＬＡＮＡＲＧＲＡＰＨＳＷＩＴＨＭＩＮＩＭＵＭＤＥＧＲＥＥＡＴＬＥＡＳＴＴＨＲＥＥ－（Ⅱ）￥ＦＡＮＨｏｎｇｂｉｎｇ（ＤｅｐｏｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＳｈａｎｄｏｎｇＵｎｉｖｅｒｓｉｔｙ，Ｊｉｎａ...     

System Analysis & Incentive Model Design for Enterprise Contract Management

ＳｙｓｔｅｍＡｎａｌｙｓｉｓ＆ＩｎｃｅｎｔｉｖｅＭｏｄｅｌＤｅｓｉｇｎｆｏｒＥｎｔｅｒｐｒｉｓｅＣｏｎｔｒａｃｔＭａｎａｇｅｍｅｎｔＲｅｓｐｏｎｓｉｂｉｌｉｔｙＳｙｓｔｅｍ（ＥＣＭＲＳ）ＬＥＩＭｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＥｃｏｎｏｍｙＭａｎｇａ...     

AN EFFICINT IMPLEMENTATION OF MERRILL''''S METHOD

ＡＮＥＦＦＩＣＩＮＴＩＭＰＬＥＭＥＮＴＡＴＩＯＮＯＦＭＥＲＲＩＬＬ＇ＳＭＥＴＨＯＤＹＡＮＧＢｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｎａｇｅｍｅｎｔＥｎｇｉｎｅｅｒｉｎｇＨａｒｂｉｎＥｎｇｉｎｅｅｒｉｎｇＵｎｉｖｅｒｓｉｔｙＨａｒｂｉｎ１５０００１）Ａｂ...     

EDGE RECONSTRUCTION OF PLANAR GRAPHS WITH MINIMUM DEGREE AT LEAST THREE-(Ⅲ)

ＥＤＧＥＲＥＣＯＮＳＴＲＵＣＴＩＯＮＯＦＰＬＡＮＡＲＧＲＡＰＨＳＷＩＴＨＭＩＮＩＭＵＭＤＥＧＲＥＥＡＴＬＥＡＳＴＴＨＲＥＥ－（Ⅲ）￥ＦＡＮＨｏｎｇｂｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＳｈａｎｄｏｎｇＵｎｉｖｅｒｓｉｔｇ，Ｊｉｎａ...     

EDGE RECONSTRUCTION OF PLANAR GRAPHS WITH MINIMUM DEGREE AT LEAST THREE-(IV)

ＥＤＧＥＲＥＣＯＮＳＴＲＵＣＴＩＯＮＯＦＰＬＡＮＡＲＧＲＡＰＨＳＷＩＴＨＭＩＮＩＭＵＭＤＥＧＲＥＥＡＴＬＥＡＳＴＴＨＲＥＥ－（ＩＶ）￥ＦＡＮＨｏｎｇｂｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＳｈａｎｄｏｎｇＵｎｉｖｅｒｓｉｔｙ，Ｊｉ＇...     

A METHOD FOR MECHANICAL GEOMETRY THEOREM PROVING

ＡＭＥＴＨＯＤＦＯＲＭＥＣＨＡＮＩＣＡＬＧＥＯＭＥＴＲＹＴＨＥＯＲＥＭＰＲＯＶＩＮＧ￥ＷＵＪｉｎｚｈａｏ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）ＴＡＮＨｏｎｇｙａｎ（...     

用正交试验法求解DCPM问题

用正交试验法求解ＤＣＰＭ问题李随成（陕西机械学院，西安７１００４８）ＳｏｌｖｅＤＣＰＭｗｉｔｈＥｘｐｅｒｉｍｅｎｔａｌＤｅｓｉｇｎＬｉＳｕｉｃｈｅｎｇ（ＳｈａａｎｘｉＩｎｓｔｉｔｕｔｅｏｆＭｅｃｈａｎｉｃａｌＥｎｇｉｎｅｅｒｉｎｇ，Ｘｉ＇ａｎ７１００...     

HAMILTONICITY IN 2-CONNECTED {K_(1,3) F}-FREE GRAPHS

ＨＡＭＩＬＴＯＮＩＣＩＴＹＩＮ２－ＣＯＮＮＥＣＴＥＤ｛Ｋ_（１，３）Ｆ｝－ＦＲＥＥＧＲＡＰＨＳ￥ＬＩＧｕｏｊｕｎ（ＭａｔｈｅｍａｔｉｃｓＤｅｐｅｒｔｍｅｎｔｏｆＹａｎｔａｉＴｅａｃｈｅｒ＇ｓＣｏｌｌｅｇｅ，Ｙａｎｔａｉ２６４０００，Ｃｈｉｎａ）ＬＩＵ?..     

IMPROVEMENT FOR FERRO''''S MINIMAX THEOREM

ＩＭＰＲＯＶＥＭＥＮＴＦＯＲＦＥＲＲＯ＇ＳＭＩＮＩＭＡＸＴＨＥＯＲＥＭ￥ＣＨＥＮＧｕａｎｇｙａ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｔｈｉｓｎｏｔ...     

SYSTEMS SCIENCE AND MATHEMATICAL SCIENCES

ＳＹＳＴＥＭＳＳＣＩＥＮＣＥＡＮＤＭＡＴＨＥＭＡＴＩＣＡＬＳＣＩＥＮＣＥＳ￥（ＩｎｓｔｒｕｃｔｉｏｎｆｏｒＡｕｔｈｏｒｓ）ＴｈｅＥｎｇｌｉｓｈｅｄｉｔｉｏｎｏｆＳｙｓｌｅｍｓＳｃｉｅｎｃｅａｎｄＭａｌｈｅｍａｌｌｃａｌＳｃｉｅｎｃｅｓｉｓｄｉｓｔｒｉ...     

层次分析中一种新的排序方法及其性质

利用特征根法及对数最小二乘法的特点，给出一种新的排序方法——平均优势度矩阵法．该方法考虑了累积优势度，吸收了优化问题的思想，并具有对称性、相容性、置换不变性及强保序性．最后给出了算例分析．     

Video segmentation using multiple features based on EM algorithm

Object-based video segmentation is an important issue for many multimedia applications. A video segmentation method based on EM algorithm is proposed. We consider video segmentation as an unsupervised classification problem and apply EM algorithm to obtain the maximum-likelihood estimation of the Gaussian model parameters for model-based segmentation. We simultaneously combine multiple features (motion, color) within a maximum likelihood framework to obtain accurate segment results. We also use the temporal consistency among video frames to improve the speed of EM algorithm. Experimental results on typical MPEG-4 sequences and real scene sequences show that our method has an attractive accuracy and robustness.     

Wentzel-Kramer-Brillouin and finite-difference time-domain analysis of Terahertz band electromagnetic characteristics of target coated with unmagnetized plasma

We investigate computationally the attenuation and reflection of Terahertz （THz） wave using targets coated with plasmas. The simulators are the Wentzel-Kramer-Brillouin （WKB） method and finite-difference timedomain （FDTD） method. The relation between the frequency of the incident electromagnetic （EM） wave and the attenuation caused by unmagnitized plasma is analyzed. The results demonstrate that the amount of absorbed power is a decreasing function of the EM wave frequency and the plasma collision frequency. For THz band incident wave, the attenuation that is caused by plasma is small when the plasma has common density and the collision frequency. This conclusion has fine applying foreground for plasma anti stealth.     

EM 算法的拟N ew ton 加速方法

ＥＭ算法是从不完全数据求参数极大似然估计的一种迭代方法。ＥＭ算法简单,但收敛慢。本文讨论了一个加速收敛的算法。     

EM算法在Wiener过程随机参数的超参数值估计中的应用

Wiener过程广泛用于产品的性能退化建模,为了便于Bayesian统计推断大都采用随机参数的共轭先验分布。针对目前的二步法得到的超参数先验估计值精度不高的问题,研究了最大期望(expectation maximization,EM)算法在Wiener过程超参数先验估计中的应用。EM算法将随机参数作为隐含变量对先验信息进行整体处理,利用随机参数的期望值代替其估计值,通过Expectation和Maximization组成的递归迭代过程寻找超参数的估计值。仿真实验表明,EM算法相比于二步法提高了估计精度,特别是在采样数量较少时EM算法具有较大的精度优势。GaAs激光器实例应用表明EM算法不但具备很好的收敛性而且有良好的工程应用价值。     

旋转体波动方程时域有限差分法

为仿真电磁波与旋转体的相互作用,通过把电磁场的6个分量作傅里叶展开,把三维波动方程简化至二维,并用时域有限差分法(FDTD)基本原理求解二维波动方程,实现了旋转体波动方程时域有限差分法(BOR WE FDTD)。相对于旋转体时域有限差分法(BORFDTD),BOR WE FDTD具有节约内存和机时、程序简单等优势。通过模拟介质球对简谐波的散射,并把结果和理论结果、BORFDTD结果作对比,证实了BORWEFDTD的有效性。     

The Generalized Mixed Least Square Methodsfor the Estimation of Weights in AHP

1IntroductionTheanalytichierarchyprocess(AHP)hasfoundwidespreadapplicationindecisionmakillgproblemsinvolvingmultiplecriteriainsystemsofmanylevels,andforPriority-modelingincomplexsystems.Preferellcesforasetofobjects(proje(its,prodllcts,etc.)area'~ryoftollexpressedintheformofpairwise(}olllparisolls.Thisisparticularlytrueinmarketresear(}11situationwhereconsumerpreferencesforasetofproductsaretobecaptured.Thepl'oblemistoextractfromthepairwisedataasetofratingsorweightsfortilenobjects.Inthismannera…     

AHP中(0, 2)EM法与(1/9, 9)EM法的比较研究

本文通过对Saaty提出的(1/9, 9)EM法与左军提出的(0, 2)EM法的比较研究, 认为(0, 2)EM法尚存在三点不足之处：(1)判断信息的损失；(2)累积优势度的损失；(3)一致性的损失。并提出一个判别一种比较标度适应性的指标──随机序隐率。     

Sampled-Data Stabilization of a Class of Stochastic Nonlinear Markov Switching System with Indistinguishable Modes Based on the Approximate Discrete-Time Models

This paper investigates the stabilization issue for a class of sampled-data nonlinear Markov switching system with indistinguishable modes. In order to handle indistinguishable modes, the authors reconstruct the original mode space by mode clustering method, forming a new merged Markov switching system. By specifying the difference between the Euler-Maruyama(EM) approximate discrete-time model of the merged system and the exact discrete-time model of the original Markov switching system, the authors prove that the sampled-data controller, designed for the merged system based on its EM approximation, can exponentially stabilize the original system in mean square sense. Finally, a numerical example is given to illustrate the effectiveness of the method.     

基于模式搜索的类电磁算法求解约束优化问题

针对约束优化问题,提出了一种基于模式搜索的类电磁算法。引入了粒子的违反度函数,将约束优化问题转化为双目标无约束优化模型来求解;提出了双目标模型中粒子的电荷和受力的计算公式,引导不可行粒子转化为满足约束条件的粒子;为了提高算法的搜索能力,结合模式搜索算法改进种群中的粒子,为类电磁算法提供了有效的局部信息。与以往算法仿真结果相比,新算法具有性能好、较稳定的优点。