WDM光网络中一种不共享风险的路由算法

在共享风险链路组的约束下,提出了一种共享路径的联合路由算法。该算法使用一种新的K对路由来选择最小代价的工作路由和风险分离的保护路由对。仿真表明,该算法能启发式地接近最佳性能,并能在资源利用率、阻塞率和保护切换时间之间进行性能折中。     

中国古代诗歌选本的承传

中国古代诗歌选本的承传,主要体现在三条线索中:一是分类选编的承传;二是分体选编的承传;三是分人选编的承传。古代诗歌选本的承传,为诗歌选本发挥欣赏、批评与文献传播的多方面价值产生了积极的作用。     

高校思想政治教育与网络直播的链接研究

直播是近年来新兴的网络平台,以其泛娱乐化、即时交互强等特点吸引了近半数的网络流量,已成为高校思想政治教育 无法回避的领域。直播削弱了灌输教育的壁垒,加速了思想政治教育的传导与反馈,提升了思想政治教育的吸引力和感染力, 思想政治教育也应当“因时而进、因势而新、因形而活”,主动探索链接直播平台,这既是形势所迫,亦是价值所驱。通过优选载 体平台,创新内容形式,树立品牌合力等链接路径推动思想政治教育与直播平台有机结合,从而直面困境与挑战,最大限度地 实现链接价值,达到共赢目标。     

耦合网络边相继故障模型研究

针对耦合网络上频发的相继故障问题,通过分析边级联故障蔓延的动力学演化机制,构建耦合网络上边相继故障模型。以提高耦合网络整体抵制相继故障能力为出发点,依据不同度量指标,多角度分析具有不同耦合模式的耦合网络鲁棒性与模型参数之间的关联性,研究耦合网络间耦合模式和网络基本模型等因素对相继故障的影响,探讨耦合网络边相继故障模型的整体保护策略。研究结果表明,同配连接模式能够增强耦合网络抵制级联故障的鲁棒性;相互依赖的两个耦合网络之间拓扑结构越相似,网络抵制相继故障的鲁棒性越强;耦合网络鲁棒性与网络平均度正相关;适当的增加耦合网络间对称边数量,能够有效提高网络的鲁棒性。最后,应用边相继故障模型在耦合电力网络上进行实例分析。     

一种有向图并行性拓扑排序算法

论述了有向图并行性拓扑排序的基本概念及其算法,解决了目前有向图拓扑序列串行性的缺点,说明有向图并行拓扑排序具有应用范围广、实用价值大的特点.     

紫外线对细胞凋亡的影响

教育诊断是教育活动的起始环节 ,通过对教育对象的科学判断与鉴别 ,为有效开展教育教学活动创造条件。推广教育诊断 ,对于节约教育成本 ,有效指导学生健康发展 ,加快人才培养速度具有重要价值。     

Factor Multivariate Stochastic Volatility via Wishart Processes

This paper proposes a high dimensional factor multivariate stochastic volatility (MSV) model in which factor covariance matrices are driven by Wishart random processes. The framework allows for unrestricted specification of intertemporal sensitivities, which can capture the persistence in volatilities, kurtosis in returns, and correlation breakdowns and contagion effects in volatilities. The factor structure allows addressing high dimensional setups used in portfolio analysis and risk management, as well as modeling conditional means and conditional variances within the model framework. Owing to the complexity of the model, we perform inference using Markov chain Monte Carlo simulation from the posterior distribution. A simulation study is carried out to demonstrate the efficiency of the estimation algorithm. We illustrate our model on a data set that includes 88 individual equity returns and the two Fama-French size and value factors. With this application, we demonstrate the ability of the model to address high dimensional applications suitable for asset allocation, risk management, and asset pricing.     

Asymptotic posterior normality for multiparameter problems

For asymptotic posterior normality in the one-parameter cases, Weng [2003. On Stein's identity for posterior normality. Statist. Sinica 13, 495–506] proposed to use a version of Stein's Identity to write the posterior expectations for functions of a normalized quantity in a form that is more transparent and can be easily analyzed. In the present paper we extend this approach to the multi-parameter cases and compare our conditions with earlier work. Three examples are used to illustrate the application of this method.     

中国古代诗话及其汇编之体的承传

中国古代诗话的承传,主要体现在两大线索中:一、在单部诗话之体上,有"论诗及事"和"论诗及辞"之体的承传;二、在诗话汇编之体上,有分门类编之体和据人而编之体的承传.诗话体制的承传,从内在影响着我国古代诗话发展的走向,决定着古代诗话多方面价值的展开.     

Concepts and measures for skewness with data-analytic implications

The decomposition of the distribution function into skewness and spread functions serves as a basis for conceptualizing the skewness of a random variable. Measures of skewness are also described in terms of the skewness and spread functions, thereby unifying the measures with the concepts. Results that relate these measures to whether one random variable is more skewed than another are reviewed and extended. Graphical displays are presented for uncovering the nature of the skewness of a variable. The measures are also linked to the issue of symmetrizing a variable.