The symmetric solutions of affiliated value model

0　IntroductionIntheprocessofR&Ditem ,thereisusuallycompetition .ManyfirmswanttoinvestR&Dtoobtainapatent.Lury[1 ] gaveanequilibriuminvestmentundertheconditionofone timeinvestmentandcontinuousinvestmentwhenthepayoffwasafixedprize.Ref.[2 ]analyzedtheeffectofinformationsharinginR&D .TherearemanyliteraturesaboutanalysisofR&DlevelswhenfirmscompeteinoutputmarketafterR&Dsucceeds[3 ,4] .Additionally ,todecideinvestmentlevel,therearemanyliteraturesaboutR&Ditem’spricing .MondherBellalah[5] ,K .…     

高等教育大众化背景下的新型师生关系

高等教育"大众化"打破了旧格局、旧体制,催生出发展高等教育的新思路,教育的主客体及其教学中介也体现出新的特点、产生新的价值冲突。传统的师生伦理受到挑战,良好的新型师生关系亟待建构。     

马克思关于元哲学问题探索的现代理论价值

以“哲学是什么”为核心的元哲学问题是马克思早期理论活动的轴心,马克思是通过对元哲学问题的探索而进入哲学殿堂并登上理论的峰顶的。马克思力求通过对哲学自身的追问与反思、通过揭示哲学的实然形态和应然形态的巨大反差。借助于揭示“哲学不是什么”来界定“哲学应该是什么”。马克思有关元哲学问题深刻而精辟的阐述。对于我们今天认识哲学和哲学问题,对于我们理解和掌握马克思主义哲学的精神实质,具有重要的理论价值和指导意义。     

积分中值定理“中间点”的分析性质

讨论了积分中值定理中间点的单调性、连续性、可导性,给出了一组充分条件,并证明了三个相关定理．进一步完善了积分中值定理“中间点”的分析性质．     

Parallel Calculation of Accurate Path Lines in Virtual Environments through Exploitation of Multi-Block CFD Data Set Topology

The use of Virtual Reality (VR) techniques for the investigation of complex flow phenomena offers distinct advantages in comparison to conventional visualization techniques. Especially for unsteady flows, VR methodology provides an intuitive approach for the exploration of simulated fluid flows. However, the visualization of Computational Fluid Dynamics (CFD) data is often too time-consuming to be carried out in real-time, and thus violates essential constraints concerning real-time interaction and visualization. To overcome this obstacle, we make use of the fact that typically a multi-block approach is employed for domain decomposition, and we use the corresponding data structures for the computation of path lines and for parallelization. In this paper, we present the synthesis of fragmented multi-block data sets and our implementation of an accurate path line integration scheme in order to speed up path line computations. We report on the results of our efforts and describe a combination of this algorithm with a highly efficient visualization approach of large amounts of particle traces, thus considerably improving interactivity when exploring large scale CFD data sets.Mathematics Subject Classifications (2000) 76Mxx, 76M27, 76M28, 65M55, 65L05, 65L06, 65D05, 65Y05, 68U05.     

Iterative Estimation of the Extreme Value Index

Let {X_n, n ≥ 1} be a sequence of independent random variables with common continuous distribution function F having finite and unknown upper endpoint. A new iterative estimation procedure for the extreme value index γ is proposed and one implemented iterative estimator is investigated in detail, which is asymptotically as good as the uniform minimum varianced unbiased estimator in an ideal model. Moreover, the superiority of the iterative estimator over its non iterated counterpart in the non asymptotic case is shown in a simulation study.AMS 2000 Subject Classification: 62G32Supported by Swiss National Science foundation.