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The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution.

基本思想是把连续的定解区域用有限个离散点构成的网格来代替,这些离散点称作网格的节点;把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似;把原方程和定解条件中的微商用差商来近似,积分用积分和来近似,于是原微分方程和定解条件就近似地代之以代数方程组,即有限差分方程组,解此方程组就可以得到原问题在离散点上的近似解。

In the course, the mathematics basic concept, basic theory, and basic compute method about continuous variable are introduced systematically.

通过本课程的学习,使学生获得有关连续变量的数学基本概念、基本理论和基本运算方法,在传授知识的同时,要通过各个教学环节逐步培养学生具有抽象思维能力、逻辑推理能力、空间想象能力和自学能力,还要特别注意培养学生具有比较熟练的运算能力和综合运用所学知识去分析问题和解决问题的能力。

We then introduce a conformal invariant quantity which is formulated in terms of the square of the length of the trace free part of the second fundamental form and the mean curvature, and prove that if this quantity is bounded above by that value of the Clifford torus then x is either a totally umbilical sphereor a conformal Clifford torus.

接著我们介绍一个由第二基本型式迹为零部份的张量长度平方与平均曲率形成的保角不变量,并证明此保角不变量的上界若为Clifford环面之值,则x不是全脐球面就是Clifford环面的保角类。

Abstract〕similar to regression analysis,cluster analysis,etc.,correlation analysis is also the basic work for information researches.canonical correlation analysis can be used to analyze the relationship between two groups of variables,and thus worth for using in information science.method of canonical correlation analysis was presented in present study.a java-based network algorithm of canonical correlation analysis was developed,which can be used to calculate the canonical correlation coefficients,canonical variable pairs,and statistical significance of canonical correlation coefficients.the algorithm may be run on java-compatible web browser.at the same time,paper publishing information and citation statistics in information science of china in past years were analyzed using the algorithm,and a number of conclusions were drawn.

摘 要〕与因果分析等一样,相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系,在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法,给出了典范相关分析的java网络算法软件,可用于计算典范相关系数,典范变量对,以及典范相关系数的统计显著性。该软件可在兼容java的网络浏览器上运行。同时,用该算法对国内情报信息论文的发文和引文统计数据进行了分析,得到了一些结论。

The standard canonical variable V1 was mainly affected by SBP and W1 by UA and BUN at almost same degree (V1 = 0.6392*SBP'+ 0.4649*DBP', W1 = 0.6990*UA'+ 0.6430*BUN'), which indicated the higher of UA and BUN the higher of SBP, and the degree of correlation between the SBP with UA and BUN was almost sameness.

其标准典型变量V1 主要受SBP的影响( V1 = 0.6392*SBP'+ 0.4649*DBP'),标准典型变量W1 受UA和BUN的影响程度相当( W1 = 0.6990*UA'+ 0.6430*BUN'),因而可以认为UA、BUN越高的个体其SBP越高,且UA、BUN与SBP的升高的关系基本相同。

We firstly look back thebirth of SD method,and then present the SD scheme presented by Johnson et.al.forlinear problem to explain the basic idea and implementation:At step 1,we change the testfunctionwhere(1,β)t is the streamline or character direction decidedby hyperbolic operator of the continuous problem,therefore the SD method belongs tothe Petrov-Galerkin method;At step 2,we adopt time-space finite element space,whoseelement is only continuous in space variables x but discontinuous in time variable t.

首先回顾了SD方法的产生过程,然后以线性问题为模型,描述了SD方法的基本思想和具体实现:第一步,将标准有限元方法的检验函数ν改成其中(1,β)t是连续问题的双曲算子部分所确定的流线方向。换言之,SD方法是一种Peterov-Galerkin有限元方法;第二步,采用时空有限元空间,其元素关于空间变量x是连续的,但关于时间变量t仅分段连续。

Based on the former chapter, one method based on fundamental matrix and crossrate is proposed in this chapter to render novel image considering the character of fundamental and cross-rate invariant in the perspective project, which utilized the correspondence relationship between the given two images and projective invariant between images to render novel image.

该方法通过将基本矩阵的稳定性求解问题转化为一个有条件的极值求解问题,结合遗传算法良好的全局寻优特点,将该方法很好地引入到基本矩阵的求解中,并取得了良好的实验结果。(5)第五章在上一章的基础上,综合基本矩阵和透视投影中的交比不变性的特点,提出了一种基于基本矩阵和交比的生成新图象的方法,这种利用已知两幅图象之间存在的匹配关系和新图象和已知图象存在的透视不变量,来生成新图象。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点:1一般情况下,一种图像压缩的方法对不同特点的图像,压缩效果会有所不同,本文利用分形压缩编码对不同特点的图像进行编码,分析了分形编码对不同图像的编码适用性,利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合,得到了一种可以调节压缩比与解码质量的分形编码方案,该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性,即对于一组分形编码可以将其解码到任意分辨率下,本文利用分形编码的这一特点,结合不同的量化编码方案,选择合适的定义域块与值域块及适当的编解码分辨率,得到了一种提高解码质量,编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量,目前有两种计算比例因子的方法,文中给出了一种新的求比例因子的方法,该方法简化了求比例因子的计算,从整体上减小了基本分形算法的计算量,简化了算法4分形压缩的数学基础是不动点定理与拼贴定理,本文根据基本的自动分形编码方法,建立数学模型对其进行推导,得到了用普通数学的极限理论解释分形编码的数学表达式,从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

The basic idea of the proposed method is : At first, to obtain the fundamental solution of the governing equation through variables transformation and make the anisotropy remain in the numerical scheme;Then to apply the MFS to solve the problems in both spatial and time domains directly.

该方法的基本思路是,先通过变量变换得到控制方程的基本解,使各向异性继续保留在数值格式中,然后用基本解方法直接在整个时间空间区域上对问题进行求解。

Major topics covered are: basic concepts of probability, sample space and events, axioms of probability, random variables, discrete and continuous distributions, joint and marginal distributions, numerical characteristic for random variables, the weak law of large numbers, central limit theorem, basic concepts of statistics, parameter estimate, hypothesis testing and regression analysis.

本课程的基本内容有:随机事件及其概率、随机变量及其分布、多维随机变量及其分布、随机变量的数字特征、大数定律与极限定理、数理统计的基础知识、参数估计、假设检验、回归分析。

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