THE UNIFORM CONVERGENCE OF A DG METHOD FOR A SINGULARLY PERTURBED VOLTERRA INTEGRO-DIFFERENTIAL EQUATION

The purpose of this work is to implement a discontinuous Galerkin(DG)method with a one-sided flux for a singularly perturbed Volterra integro-differential equation(VIDE)with a smooth kernel.First,the regularity property and a decomposition of the exact solution of the singularly perturbed VIDE with the initial condition are provided.Then the existence and uniqueness of the DG solution are proven.Then some appropriate projection-type interpolation operators and their corresponding approximation properties are established.Based on the decomposition of the exact solution and the approximation properties of the projection type interpolants,the DG method achieves the uniform convergence in the L2 norm with respect to the singular perturbation parameter e when the space of polynomials with degree p is used.A numerical experiment validates the theoretical results.Furthermore,an ultra-convergence order 2p+1 at the nodes for the one-sided flux,uniform with respect to the singular perturbation parameter e,is observed numerically.

Uniform Convergence for Finite Volume Element Method for Non-selfadjoint and Indefinite Elliptic Problems

In this paper, we prove the existence, uniqueness and uniform convergence of the solution of finite volume element method based on the P1 conforming element for non-selfadjoint and indefinite elliptic problems under minimal elliptic regularity assumption.

Uniform Convergence Analysis for Singularly Perturbed Elliptic Problems with Parabolic Layers

In this paper, using Lin＇s integral identity technique, we prove the optimal uniform convergence θ（Nx^-2ln^2Nx＋Ny^-2ln^2Ny） in the L^2-norm for singularly perturbed problems with parabolic layers. The error estimate is achieved by bilinear finite elements on a Shishkin type mesh. Here Nx and Ny are the number of elements in the x- and y-directions, respectively. Numerical results are provided supporting our theoretical analysis.

Uniform Convergence Analysis of the Discontinuous Galerkin Method on Layer-Adapted Meshes for Singularly Perturbed Problem

This paper concerns a discontinuous Galerkin(DG)method for a one-dimensional singularly perturbed problem which possesses essential characteristic of second order convection-diffusion problem after some simple transformations.We derive an optimal convergence of the DG method for eight layer-adapted meshes in a general framework.The convergence rate is valid independent of the small parameter.Furthermore,we establish a sharper L^(2)-error estimate if the true solution has a special regular component.Numerical experiments are also given.

On power series statistical convergence and new uniform integrability of double sequences

In the present paper,we mostly focus on P_(p)^(2)-statistical convergence.We will look into the uniform integrability via the power series method and its characterizations for double sequences.Also,the notions of P_(p)^(2)-statistically Cauchy sequence,P_(p)^(2)-statistical boundedness and core for double sequences will be described in addition to these findings.

CONTINUOUS FINITE ELEMENT METHODS FOR REISSNER-MINDLIN PLATE PROBLEM

On triangle or quadrilateral meshes, two finite element methods are proposed for solving the Reissner-Mindlin plate problem either by augmenting the Galerkin formulation or modifying the plate-thickness. In these methods, the transverse displacement is approximated by conforming （bi）linear macroelements or （bi）quadratic elements, and the rotation by conforming （bi）linear elements. The shear stress can be locally computed from transverse displacement and rotation. Uniform in plate thickness, optimal error bounds are obtained for the transverse displacement, rotation, and shear stress in their natural norms. Numerical results are presented to illustrate the theoretical results.

THE NUMERICAL SOLUTION OF A SINGULARLY PERTURBED PROBLEM FOR SEMILINEAR PARABOLIC DIFFERENTIAL EQUATION

The numerical solution of a singularly perturbed problem for the semilinear parabolic differential equation with parabolic boundary layers is discussed. A nonlinear two-level difference scheme is constructed on the special non-uniform grids. The uniform con vergence of this scheme is proved and some numerical examples are given.

UNIFORM QUADRATIC CONVERGENCE OF A MONOTONE WEIGHTED AVERAGE METHOD FOR SEMILINEAR SINGULARLY PERTURBED PARABOLIC PROBLEMS＊

This paper deals with a monotone weighted average iterative method for solving semilinear singularly perturbed parabolic problems. Monotone sequences, based on the ac- celerated monotone iterative method, are constructed for a nonlinear difference scheme which approximates the semilinear parabolic problem. This monotone convergence leads to the existence-uniqueness theorem. An analysis of uniform convergence of the monotone weighted average iterative method to the solutions of the nonlinear difference scheme and continuous problem is given. Numerical experiments are presented.

A Numerical Method for Nonlinear Singularly Perturbed Multi-Point Boundary Value Problem

We consider a uniform finite difference method for nonlinear singularly perturbed multi-point boundary value problem on Shishkin mesh. The problem is discretized using integral identities, interpolating quadrature rules, exponential basis functions and remainder terms in integral form. We show that this method is the first order convergent in the discrete maximum norm for original problem (independent of the perturbation parameter ε). To illustrate the theoretical results, we solve test problem and we also give the error distributions in the solution in Table 1 and Figures 1-3.

A UNIFORM CONVERGENT PETROV-GALERKIN METHOD FOR A CLASS OF TURNING POINT PROBLEMS

In this paper,we propose a numerical method for turning point problems in one dimension based on Petrov-Galerkin finite element method(PGFEM).We first give a priori estimate for the turning point problem with a single boundary turning point.Then we use PGFEM to solve it,where test functions are the solutions to piecewise approximate dual problems.We prove that our method has a first-order convergence rate in both L∞h norm and a discrete energy norm when we select the exact solutions to dual problems as test functions.Numerical results show that our scheme is efficient for turning point problems with different types of singularities,and the convergency coincides with our theoretical results.

The k Nearest Neighbors Estimator of the M-Regression in Functional Statistics

It is well known that the nonparametric estimation of the regression function is highly sensitive to the presence of even a small proportion of outliers in the data.To solve the problem of typical observations when the covariates of the nonparametric component are functional,the robust estimates for the regression parameter and regression operator are introduced.The main propose of the paper is to consider data-driven methods of selecting the number of neighbors in order to make the proposed processes fully automatic.We use thek Nearest Neighbors procedure(kNN)to construct the kernel estimator of the proposed robust model.Under some regularity conditions,we state consistency results for kNN functional estimators,which are uniform in the number of neighbors(UINN).Furthermore,a simulation study and an empirical application to a real data analysis of octane gasoline predictions are carried out to illustrate the higher predictive performances and the usefulness of the kNN approach.

A Framework of Convergence Analysis of Mini-batch Stochastic Projected Gradient Methods

In this paper,we establish a unified framework to study the almost sure global convergence and the expected convergencerates of a class ofmini-batch stochastic(projected)gradient(SG)methods,including two popular types of SG:stepsize diminished SG and batch size increased SG.We also show that the standard variance uniformly bounded assumption,which is frequently used in the literature to investigate the convergence of SG,is actually not required when the gradient of the objective function is Lipschitz continuous.Finally,we show that our framework can also be used for analyzing the convergence of a mini-batch stochastic extragradient method for stochastic variational inequality.

GLOBAL CONVERGENCE OF THE DAI-YUAN CONJUGATE GRADIENT METHOD WITH PERTURBATIONS

In this paper, the authors propose a class of Dai-Yuan （abbr. DY） conjugate gradient methods with linesearch in the presence of perturbations on general function and uniformly convex function respectively. Their iterate formula is xk＋1 = xk ＋ αk（sk ＋ ωk）, where the main direction sk is obtained by DY conjugate gradient method, ωk is perturbation term, and stepsize αk is determined by linesearch which does not tend to zero in the limit necessarily. The authors prove the global convergence of these methods under mild conditions. Preliminary computational experience is also reported.

层状地基中盾构隧道开挖非均匀收敛引起临近管道变形预测

采用弹性层状地基模型来考虑地基土体的非均质性,并针对隧道开挖边界引入椭圆化非等量径向土体位移模式;采用基于位移控制技术的边界单元方法来求解土体自由位移场,提出层状地基中盾构隧道开挖非均匀收敛引起临近管道变形影响的位移控制分析方法。结合位移控制有限元数值模拟和既有离心模型试验结果进行对比分析,验证该方法的有效性。算例分析结果表明,土体自由位移场计算对管道纵向变形性能的评估具有较大影响;对于非均质层状地基,如果采用以往的将不同土体参数近似折算成平均值,进而按照弹性均质地基进行求解会带来较大的计算误差。研究成果可为合理制定城市地铁隧道施工对周围环境影响的保护措施提供一定理论依据。

奇异摄动滞时微分方程的一致收敛数值方法(英文)

提出了求解线性奇异摄动滞时微分方程基于指数拟合技术的一致收敛和最佳一致收敛的数值方法,并证明了方法的一致收敛性。利用线性化的思想,并结合Newton-Raphson迭代,构造了求解非线性奇异摄动滞时微分方程相应的一致收敛的算法。数值例子验证上述理论结论的正确性。

修正乘子交替方向法求解三个可分离算子的凸优化

指出直接推广的经典乘子交替方向法对三个算子的问题不能保证收敛的原因,并且给出将其改造成收敛算法的相应策略.同时,在一个统一框架下,证明了修正的乘子交替方向法的收敛性和遍历意义下具有0(1/t)收敛速率.

双参数奇异摄动问题的L^∞一致收敛差分格式

对带有两个小参数的奇异摄动问题，给出一种差分格式．并证明其在Ｌ∞范数意义下的一致收敛性．最后给出数值例子．

Verhulst型偏微分方程人口模型整体解的存在唯一性研究(Ⅰ)

本文讨论了Ｖｅｒｈｕｌｓｔ型偏微分方程人口模型ｐｔ（ｔ，ｘ） ＋ ｐｘ （ｔ，ｘ） ＝ － ｄ１（ｘ） ＋ Ｋ∫Ａ０ ｐ（ｔ，ξ）ｄξｐ（ｔ，ｘ） （１）在一定非局部初边值条件下的解，运用逐次逼近法得到了方程（１）迭代解的表达式，并证明了它的整体存在唯一性。

一类描述人口群体增长模型的非线性方程非局部定解问题解的存在性研究

文章讨论了一类描述人口群体增长模型 p t( t,x) + p x( t,x) =-[d1 ( x) +d2 ( x) ∫Aap( t,ξ) dξ]p( t,x) ( 1 )在一定非局部初边值条件下的解 ,运用逐次逼近法得到了方程 ( 1 )解的表达式 ,并证明了解的整体存在唯一性。

与积分有关的一个极限及其应用

将崔尚斌编著的《数学分析教程》(中册)的一个综合习题进行推广,得到求与积分有关的极限的几个实用性结果,并给出多个应用例子.