基于比例移动最小二乘近似的误差分析

相较于移动最小二乘近似方法,比例移动最小二乘近似法有效地克服了前者带来的矩阵病态这一问题,展示出了更好的数值稳定性和更高的计算精度.给出了比例移动最小二乘近似对函数及其任意阶导数的误差估计,并给出了数值算例来验证之前的理论分析结果,通过与移动最小二乘近似的比较,表明比例移动最小二乘近似能得到更快的收敛性和更稳定的计算性.     

移动最小二乘法的近似稳定性

移动最小二乘近似法在无网格法中得到广泛应用,然而近似计算可能因A矩阵奇异或病态而产生不稳定问题.为了保证A矩阵非奇异,证明了支撑点集的必要几何条件.基于此,给出了判定A矩阵病态性的推论.为了克服A矩阵在特定条件下容易产生病态的问题,提出了采用核基的核近似法.研究结果为保证近似稳定性给出了简便的判别法则,为提高近似稳定性建议了有效的改进方法,为无网格法的合理数值实施提供了初步的理论依据.     

Sobolev方程的最小二乘Galerkin有限元法

本文对于Sobolev方程提出并分析了两种新型数值方法：最小二乘Galerkin有限元法．这种方法的优越性在于不需要验证LBB条件,可以更好的选择有限元空间．误差估计表明在L~2(Ω))~2×L~2(Ω)范数意义下,这两种方法均具有最优收敛阶,并且关于时间分别具有一阶精确度和二阶精确度．     

最小二乘估计关于误差分布的稳健性

对于设计矩阵$X$是列降秩的线性统计模型, 本文讨论了最小二乘估计关于误差分布的稳健性, 给出了误差分布的最大类, 使得误差项的分布在此范围内变动时, 最小二乘估计在均方误差矩阵准则下是最优估计.     

岭估计优于最小二乘估计的条件

本文讨论在均方误差意义下岭估计优于最小二乘估计的问题，给出了岭估计优于小最小二乘估计的必要条件及较一般的充分条件。     

Logistic回归中的加权最小二乘估计

本文引入因变量是虚拟变量的回归模型 ,并通过logistic函数拟合这种模型 ,分析它在控制和预测方面的不足之处 .在此基础上提出用加权最小二乘估计回归方程 .模拟结果表明 ,此方法是可行的     

最小二乘问题的稳定近似解

最小二乘法在实际中有着大量的应用,为解决其结果易受误差影响的问题,利用试验设计的思想,借助正交表得到了其稳定近似解的求解方法,使结果得以改进,并通过实例予以验证.     

基于约束总体最小二乘方法的近似消逝理想算法

提出了基于约束总体最小二乘方法的近似消逝理想算法.给定经验点集Xε,该算法输出序理想(O)和多项式集合(g).当(O)中单项的个数等于经验点集Xε的基数时,(g)即为Xε的近似消逝理想基.该算法充分考虑赋值向量的扰动之间的内在联系,因此在关注向量的数值相关性方面,算法优于目前其它同类算法.     

线性模型中φ混合误差下回归系数最小二乘估计的相合性

本文研究线性模型中φ－混合误差序列下回归系数最小二乘估计的相合性，分别对最小二乘估计为强相合和ｒ阶平均相合给出一些充分条件。     

对流占优Sobolev方程的最小二乘Galerkin有限元法

Sobolev方程在流体穿过裂缝岩石的渗透理论,土壤中湿气迁移问题,不同介质间的热传导问题等许多数学物理方面有着广泛的应用．在许多实际应用中,常常涉及到具有对流项Sobolev的方程．对于初值问题（1．1）,[1]用标准有限元方法对此类问题进行了很好的讨论和研究．混合元方法也逐渐应用到此类问题中,参看[2]．     

关于变指数加权Sobolev空间的拟连续性

本文给出了一些关于变指数加权Sobolev空间拟连续性的精确刻画. 进而在拟连续的意义下得到变指数加权Sobolev空间唯一性结果.     

用样条逼近Sobolev函数类W_p~1(R)的逼近误差

作者研究了定义在全实轴上的Sobolev函数类W_p~1(R)的逼近问题.以一次样条函数作为逼近工具,给出了p=1和p=∞时的逼近误差.     

On the Complex of Sobolev Spaces Associated with an Abstract Hilbert Complex

We consider the complexes of Hilbert spaces whose differentials are closed densely-defined operators. A peculiarity of these complexes is that from their differentials we can construct Laplace operators in every dimension. The Laplace operator together with a sufficiently nice measurable function enables us to define a generalized Sobolev space. There exist pairs of measurable functions allowing us to construct some canonical mappings of the corresponding Sobolev spaces. We find necessary and sufficient conditions for those mappings to be compact. In some cases for a given Hilbert complex we can construct an associated Sobolev complex. We show that the differentials of the original complex are normally solvable simultaneously with the differentials of the associated complex and that the reduced cohomologies of these complexes coincide.     

Error Estimates for Mixed Finite Element Methods for Sobolev Equation

1 IntroductionLet fl be a bounded domain in R2 with Lipschitz continuous boundaxy 0fl. For thed0 < T < co, we consider the fo1lowing initial-boun'lar}-ralue problem for thc Sobolevequation:where ut denotes the time derivative of the function (1. Vu denotes the gradient of thefunction u, and divv denotes the divergence of the vect{Jr tulued function v, a1 b1, f, anduo are known functions.The standard finite element method for (1.1) (1.3) llas received considerable attentionand is well studied…     

本征平方函数在极大变指数Herz空间上的有界性

我们证明了本征平方函数及其交换子在Herz空间$\dot{K}_{q(\cdot)}^{\alpha(\cdot), p),\theta}({\Bbb{R}}^n)$空间上的有界性,其中$\alpha$, $q$均为变指数。当$\alpha(\cdot)\equiv \alpha$为常数时,所得结果也是新的.     

The Dirichlet Energy Integral and Variable Exponent Sobolev Spaces with Zero Boundary Values

We define and study variable exponent Sobolev spaces with zero boundary values. This allows us to prove that the Dirichlet energy integral has a minimizer in the variable exponent case. Our results are based on a Poincaré-type inequality, which we prove under a certain local jump condition for the variable exponent.     

Estimates of Norms of Eigenfunctions of the Strum--Liouville Problem in Sobolev Spaces

Mathematical Notes -     

Bases in Sobolev Spaces on Bounded Domains with Lipschitzian Boundary

In the Sobolev space , where is a bounded domain in ⁿ with a Lipschitzian boundary, for an arbitrarily given , we construct a basis such that the error of approximation of a function the Nth partial sum of its expansion with respect to this basis can be estimated in terms of the modulus of smoothness of order .     

Error Estimates for the Numerical Approximation of a Semilinear Elliptic Control Problem

We study the numerical approximation of distributed nonlinear optimal control problems governed by semilinear elliptic partial differential equations with pointwise constraints on the control. Our main result are error estimates for optimal controls in the maximum norm. Characterization results are stated for optimal and discretized optimal control. Moreover, the uniform convergence of discretized controls to optimal controls is proven under natural assumptions.