三步混合型合成隐迭代序列的强收敛定理

在Banach空间中,引入有限族渐近非扩张自映射和渐近非扩张非自映射的新的三步合成隐迭代序列.并证明该迭代序列的强收敛定理.     

混合型渐近非扩张映射合成隐迭代序列的收敛性定理

在一致凸Banach空间中,研究了有限族渐近非扩张自映射和渐近非扩张非自映射的新的合成隐迭代序列的强收敛和弱收敛定理.得到的结果改进和推广了许多作者的相应结果.     

有限族渐近非扩张映象具误差的隐迭代序列的弱收敛性与强收敛性

设E是实一致凸Banach空间,K是E的非空闭凸子集,{Ti}Ni=1:K→K是有限族渐近非扩张映象.在适当的条件下,证明了具误差的隐迭代序列弱收敛与强收敛于{Ti}Ni=1的公共不动点.所得结果改进和推广了有关的相应结果.     

非线性算子具误差的隐迭代程序的强收敛性

设K是一致凸Banach空间中的非空闭凸子集,T_i:K→K(i=1,2,…,N)是有限族完全渐近非扩张映象.对任意的x_0∈K,具误差的隐迭代序列{x_n}为:x_n=α_nx_n-1+β_nT_n~kx_n+γ_nu_n,n≥1,其中{α_n},{β_n},{γ_n}■[0,1]满足α_n+β_n+γ_n=1,{u_n}是K中的有界序列.在一定的条件下,该文建立了隐迭代序列{x_n}的强收敛性.得到隐迭代序列{x_n}强收敛于有限族完全渐近非扩张映象公共不动点的充要条件.所得结果改进和推广了Shahzad与Zegeye,Zhou与Chang,Chang,Tan,Lee与Chan等人的相应结果.     

无穷可数族非自射非扩张映象之公共不动点的带误差逼近问题

设E具Gateaux可微的严格凸的自反Banach空间,C是E的一非空闭凸子集.受姚永红等2007年文献[1]的启发.本文在此Banach空间框架下引进了一涉及无穷可数族非自射非扩张映象{T:C→E)<'∞><,t=1>的含误差的显式迭代算法,并且在非常少的限制条件下证明了该迭代序列的强收敛于无穷可数族非自射非扩张映象...     

关于变分包含问题和不动点问题的一些结果及应用

基于一个广义迭代算法,考虑了逼近一类拟变分包含问题解集与一族无限多个非扩张映象公共不动点集的某一公共元问题.在实Hilbert空间的框架下,证明了由次广义迭代算法产生的迭代序列强收敛到某一公共元.     

渐近非扩张映像具误差的合成隐迭代序列的弱收敛和强收敛定理

参照Banach压缩映像原理,在Banach空间合理引进一有限族渐近非扩张映像具误差的合成隐迭代式.在适当条件下获得了该合成隐迭代式给出的序列的弱收敛和强收敛定理.这个结果将2001年至2006年以来系列相关文献的隐迭代程序推广为具误差的合成隐迭代.主要结果还改进了这些文献的结果,去掉了2006年Chang S.S.的文章中闭凸集C+C C的假定以及2003年Sun Z.H.的文章中C的有界性假设条件.同时也解决了2001年Xu H.K.和Ori M.G.合著的文章中提出的开问题.     

有限族严格伪压缩映象具误差的隐迭代序列的强收敛性

在适当的条件下,证明了有限族严格伪压缩映象具误差的隐迭代序列强收敛于其公共不动点. 所得结果改进了Osilike 与 Xu, Ori 的相应结果.     

无限族非扩张映象及非扩张半群的强收敛定理

目的是研究Banach空间中无限族非扩张映象和非扩张半群的强收敛问题.为此提出一个改进的迭代序列,在适当条件下,某些强收敛定理被证明.结果改进和推广了一些人的最新结果.     

无限族非扩张非自射映象公共不动点的迭代逼近与Cesàro均值迭代收敛性

该文在严格凸的自反Banach空间引进并研究了关于无限族非扩张非自射映象的迭代算法,获一强收敛结果.应用这个结果又获得了Cesàro型均值迭代算法的强收敛性结果.所获主要结果将2007年Zhang-Lee-Chan获得的主要结果从Hilbert空间推广到Banach空间,将自射映象推广到非自射.也将2007年R.Wangkeeree获得的主要结果从一个非扩张映象Cesàro均值迭代算法推广到两个.该文还得到关于非扩张映象不动点集的一全新结果.     

一致光滑Banach空间中&Phi|-半压缩映射具误差Mann迭代收敛定理的注释

文章在一致光滑Banach空间, 获得了广义LipschitzΦ -半压缩映射带误差的Mann迭代收敛定理. 该结果改进并拓广了文献[1, 7, 10--12]中相应的结果.     

Convergence of the new composite implicit iteration process with random errors

In this paper, strong convergence theorems for approximation of common fixed points of a finite family of asymptotically demicontractive mappings are proved in Banach spaces using the new composite implicit iteration scheme with errors. Our results of this paper improve and extend the corresponding results of Chen, Song, Zhou [R.D. Chen, Y.S. Song, H.Y. Zhou, Convergence theorems for implicit iteration process for a finite family of continuous pseudocontractive mappings, J. Math. Anal. Appl. 314 (2006) 701–709], Osilike [M.O. Osilike, Implicit iteration process for common fixed points of a finite family of strictly pseudocontractive maps, J. Math. Anal. Appl. 294 (2004) 73–81], Gu [F. Gu, The new composite implicit iterative process with errors for common fixed points of a finite family of strictly pseudocontractive mappings, J. Math. Anal. Appl. 329 (2007) 766–776] and Yang and Hu [L.P. Yang, G. Hu, Convergence of implicit iteration process with random errors, Acta Math. Sinica (Chin. Ser.) 51 (1) (2008) 11–22].     

Adaptive solution of elliptic PDE-eigenvalue problems.

In this paper we introduce a new adaptive algorithm (AFEMLA) for elliptic PDE-eigenvalue problems. In contrast to other approaches the algebraic eigenvalue problem does not have to be solved to full accuracy. We incorporate the iterative solution of the resulting finite dimensional algebraic eigenvalue problems in the adaptation process in order to balance the cost with the costs for the iterative eigenvalue method. We present error estimates that incorporate the discretization errors, approximation errors in the eigenvalue solver and roundoff errors. (© 2009 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)     

Banach空间中几乎渐近非扩张型映象的不动点的迭代逼近

在Banach空间中引入了一类新的几乎渐近非扩张型映象,概括了Banach空间中若干熟知的非线性的Lipschitz映象类与非Lipschitz映象类成特例;例如,熟知的非扩张映象类,渐近非扩张映象类与渐近非扩张型映象类.考虑了用于逼近几乎渐近非扩张型映象不动点的带误差的修改了的Ishikawa迭代序列的收敛性问题.关于Banach空间范数的S.S.Chang的不等式与H.K.Xu的不等式皆被用于做精确不动点与近似不动点间的误差估计.而且,张石生教授用于做带误差的修改了的Ishikawa迭代序列收敛性分析的方法(应用数学和力学,2001,22(1):23-31)被推广到几乎渐近非扩张型映象的情况.给出了用于求一致凸Banach空间中几乎渐近非扩张型映象不动点的带误差的修改了的Ishikawa迭代序列的新的收敛判据.并且,由该判据,立即得到了此类映象的带误差的修改了的Mann迭代序列的新的收敛判据.上述结果统一、改进与推广了张石生教授关于用带误差的修改了的Ishikawa与Mann迭代序列来逼近渐近非扩张型映象不动点方面的结果.     

Adaptive computation of smallest eigenvalues of self‐adjoint elliptic partial differential equations

We consider a new adaptive finite element (AFEM) algorithm for self‐adjoint elliptic PDE eigenvalue problems. In contrast to other approaches we incorporate the inexact solutions of the resulting finite‐dimensional algebraic eigenvalue problems into the adaptation process. In this way we can balance the costs of the adaptive refinement of the mesh with the costs for the iterative eigenvalue method. We present error estimates that incorporate the discretization errors, approximation errors in the eigenvalue solver and roundoff errors, and use these for the adaptation process. We show that it is also possible to restrict to very few iterations of a Krylov subspace solver for the eigenvalue problem on coarse meshes. Several examples are presented to show that this new approach achieves much better complexity than the previous AFEM approaches which assume that the algebraic eigenvalue problem is solved to full accuracy. Copyright © 2010 John Wiley & Sons, Ltd.     

The equivalence between the convergence of Ishikawa and Mann iterations with errors for strongly successively pseudocontractive mappings without Lipschitzian assumption

In this paper we prove some new equivalences between convergence of the Ishikawa and Mann iteration sequences with errors in two schemes by Xu [Y.G. Xu, Ishikawa and Mann iteration process with errors for nonlinear strongly accretive operator equations, J. Math. Anal. Appl. 224 (1998) 91-101] and Liu [L.S. Liu, Ishikawa and Mann iterative process with errors for nonlinear strongly accretive mappings in Banach spaces, J. Math. Anal. Appl. 194 (1995) 114-125], respectively, for strongly successively pseudocontractive mappings. Our main results improve and extend the corresponding results of the all references listed in this article.     

一种求解第二类Nedelec 棱有限元方程的快速算法

本文针对一种电磁场问题的第二类Nédélec棱有限元方程组,通过建立该棱有限元空间的一种新的稳定性分解,分别设计了求解棱元方程组的预条件子和迭代算法,并且在理论上严格证明了预条件子的条件数和迭代算法的收敛率均不依赖于网格的规模.数值实验验证了理论的正确性.     

Strong convergence of an iterative algorithm for an infinite family of strict pseudo-contractions in Banach spaces

In this paper, we introduce a new W-mapping and present an iterative algorithm for an infinite family of strict pseudo-contractions. Strong convergence theorems are proved in Banach spaces. Our results improve and extend the corresponding result announced by Cai and Hu [G. Cai, C. Hu, Strong convergence theorems of modified Ishikawa iterative process with errors for an infinite family of strict pseudo-contractions, Nonlinear Anal. 71(12) (2009) 6044-6053].     

Necessary and sufficient condition of the strong convergence for two finite families of uniformly L-Lipschitzian mappings

The purpose of this paper is to study necessary and su?cient condition for the strong convergence of a new parallel iterative algorithm with errors for two finite families of uniformly L-Lipschitzian mappings in Banach spaces. The results presented in this paper improve and extend the recent ones announced by [2-7].     

On estimation and control of errors of the Mann iteration process

The purpose of this note is to study the estimation of errors of the Mann iterative process with random errors. It is shown that the accumulative errors in iterative process is bounded and the errors is controllable with some conditions.