三阶奇摄动非线性边值问题

利用微分不等式理论,研究了某一类三阶奇摄动非线性边值问题。以二阶边值问题的已知结果为基础,引入Volterra型积分算子,建立了三阶非线性边值问题的上下解方法。在适当条件下,构造出具体的上下解,得出解的存在性和渐进估计。结果表明这种技巧也为三阶奇摄动边值问题的研究提出了崭新的思路。最后举例验证文中定理的正确性。     

ON THE ERROR ESTIMATE OF NONCONFORMING FINITE ELEMENT APPROXIMATION TO THE OBSTACLE PROBLEM

This paper is devoted to analysis of the nonconforming element approximation to the obstacle problem, and improvement and correction of the results in [11], [12].     

AD GALERKIN ANALYSIS FOR NONLINEAR PSEUDO—HYPERBOLIC EQUATIONS

AD(Alternating direction)Galerkin schemes for d-dimensional nonlinear pseudo-hyperbolic equations are studied.By using patch approximation technique,AD procedure is realized,and calculation,work is simplified.By using Galerkin approach,highly computational accuracy is kept.By using various priori estimate techniques for differential equations,difficulty coming form non-linearity is treated,and optimal H^1 and L^2 convergence prop-erties are demonstrated.Moreover,although all the existed AD Galerkin schemes using patch approximation are limited to have only one order accuracy in time increment,yet the schemes formulated in this paper have second order accuracy in it.This implies an essential advancement in AD Galerkin aualysis.     

三维多组分可压缩驱动问题的分数步特征差分方法

本文提出三维多组分驱动问题的分数步长特征差分格式,并应用变分形式,能量方法,粗细网格配套,叁二次插值,高阶差分算子的分解和乘积交换性理论和技巧,得到最佳阶L^2误差估计,该方法已成功应用到油资源评估,强化采油数值模拟和海水入侵预测和防治的数值模拟中。     

单边截断分布族参数的经验Bayes检验：NA样本情形

本文运用同分布NA样本密度函数的核估计,构造一类单边截断型分布族参数的经验Bayes检验,讨论它的渐近最优性,建立其收敛速度,在适当的条件下,证明了该收敛速度可以任意接近于1,最后给出适合定理条件的一个例子。     

模糊线性回归的稳健方法

考虑两类模糊回归模型：一类是设计点为实数,参数为模糊数;另一类是观察值为模糊数、参数为实数。就这两类回归模型,从稳健统计的角度提出相应的稳健方法,并通过例子与现有的方法进行比较,说明所提方法的稳健性。     

Müntz有理逼近的点态估计

给定M>0,设Λ={λ-n}+∞-{n=1}是一个实数序列,满足0≤λ-1<λ-2<:,且对所有n≥1,有λ-{n+1}-λ-n≥M-n.本文得到了Müntz系统{x+{λ-n}}有理逼近的一个点态估计.     

A NOTE ON THE CONSISTENCY OF LS ESTIMATES IN LINEAR MODELS

Consider,the linear regression modelyi = x'iβ ei, 1≤i≤n, n≥1, (1)where x1, x2,' are known Hvectors, P is the unknown pdimensional vector of regressioncoefficiellts, e13 e2,' is a seqdence of iid. random errors, and y1, y2t' are known obser-vations of the dependellt variable. Denote by F the common distribution of e1, e2,' t andwrite9. = {F: j:xar=0, 0< j:lxl'aF< oo}, 1 5 r 5 2.The Least Squares (LS) estimate of P isn rs)n = Z SJ'x.ui, Sn = Zxix:.. i=1 i=1Here we tacitly assum…     

一类级数的模变换公式

本文纠正了Apostol在文[1]中给出了一类级数的模变换公式,作为应用,我们得到了ζ（3）的一个估计。     

Linex损失下二维单边截断型分布族参数的经验Bayes估计

在linex损失函数下,讨论边二维单边截断型分布族参数的经验Bayes(EB)估计问题,文中构造了参数的EB估计,在适当的条件下给出了该估计的收敛速度。并说明在较强条件下收敛速度可充分接近1。