关于m-增生算子零点的粘性复合迭代序列的强收敛性

在一致光滑的Banach空间的框架下,引入关于m-增生算子的一种新粘性复合迭代序列{xn},并证明了在适当的控制条件下,此迭代序列强收敛于m-增生算子的一个零点,用不同方法推广了相关文献的近代结果.     

关于Lipschitzian伪压缩映射的合成隐迭代序列(英文)

本文研究了Lipschitzian伪压缩映射的合成隐迭代序列.利用伪压缩映射等价不等式,在Banach空间中,得到了合成隐迭代序列强收敛的充分必要条件,推广了一些相关的结果.     

Convergence theorems for nonspreading mappings and nonexpansive multivalued mappings and equilibrium problems

In this paper, we introduce some new iterative sequences for finding a common element of the set of solutions of an equilibrium problem and the set of common fixed points of a finite family of nonspreading mappings and a finite family of nonexpansive multivalued mappings in Hilbert space. We establish some weak and strong convergence theorems of the sequences generated by our iterative process. The results obtained in this paper extend and improve some recent known results.     

渐进非扩张非自映像新的迭代的强收敛

研究了渐进非扩张非自映像新的迭代的强收敛问题.利用保核收缩映像的基本性质,定义了一种新的Ishikawa型迭代序列,并在一致凸的Banach空间里,证明了该迭代序列在适当条件下强收敛到T的不动点.结果改进和推广了一些最新成果.     

分段连续逐个迭代算法的研究及其在水库流域汇流计算中的应用

河流流域由降雨量与单位过程线所形成的出流过程的方程组呈菱形,可用赛德尔迭代法求解,而水库(湖泊)流域的净雨量与单位累积过程线所形成的水库(湖泊)入流过程的方程组呈梯形,不能用赛德尔迭代法,为此我们提出分段连续逐个迭代法,并通过实例计算,取得了很好的计算效果.     

A new iterative process for approximating common fixed points of nonself I-asymptotically quasi-nonexpansive mappings

In this paper, we introduce an iterative process for two nonself I-asymptotically quasi-nonexpansive mappings and two finite families of such mappings in Banach spaces, and prove some strong convergence theorems for such mappings. Our results extend some existing results.     

无限族严格渐近伪压缩映象隐迭代程序的强收敛定理

在Banach空间框架下,对无限族的严格渐近伪压缩映象和无限族的非扩张映象引入了一类新的隐迭代程序,并在适当的条件下,证明了该迭代程序强收敛于这两族映象的公共不动点.结果是新的,它推广和改进了一些人的最新结果.     

Convergence of a general iterative method for nonexpansive mappings in Hilbert spaces

In this paper, we introduce a modified Ishikawa iterative process for approximating a fixed point of nonexpansive mappings in Hilbert spaces. We establish some strong convergence theorems of the general iteration scheme under some mild conditions. The results improve and extend the corresponding results of many others.     

带误差的合成隐迭代新算法

该文参照Banach压缩映象原理合理地引进了一涉及有限族渐进非扩张映象的具误差的合成隐迭代式. 在适当条件下 证得了该迭代序列给出的序列弱收敛与强收敛到有限族渐进非扩张映象的一公共不动点, 并由此得出该合成隐迭代式导出的一非隐迭代算法的弱收敛与强收敛的新定理. 值得一提的是, 这是在未增加任何附加条件的情况下将2006年一文献的主要结果由隐迭代算法改进为非隐的显式迭代算法.     

A PARALLEL COMPUTATION SCHEME FOR IMPLICIT RUNGE-KUTTA METHODS AND THE ITERATIVELY B-CONVERGENCE OF ITS NEWTON ITERATIVE PROCESS

In this paper, based on the implicit Runge-Kutta(IRK) methods, we derive a class of parallel scheme that can be implemented on the parallel computers with Ns(N is a positive even number) processors efficiently, and discuss the iteratively B-convergence of the Newton iterative process for solving the algebraic equations of the scheme, secondly we present a strategy providing initial values parallelly for the iterative process. Finally, some numerical results show that our parallel scheme is higher efficient as N is not so large.     

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.     

渐近非扩张映象的修正的Ishikawa迭代程序

本文研究一致凸Banach空间中关于渐近非扩张映象不动点的修正的Ishikawa迭代程序的强收敛性，本文结果统一，推广与改进了目前文献中的一些最新结果。     

赋范空间中Ф-半压缩型映象的不动点的迭代逼近

使用赋范空间中一个不等式以及某些分析技巧，证明了赋范线性空间中中半压缩映象的不动点的迭代过程的若干收敛定理，改进和扩展了近期相应的一些结果．     

2n阶Lidstone边值问题正解的逐次迭代

研究了2n阶Lidstone边值问题正解的逐次迭代,其中非线性项依赖于所有偶数阶导数.通过考察非线性项在某些有国介集合上的“高度”并利用单调迭代方法构造了一个逐次迭代程序.这个迭代程序从一个多项式开始并且是可行的.使用这个结论获得了m个正解的迭代方法,其中m是一个任意的自然数.     

Generalized iterative process and associated regularization for J-Pseudomonotone mixed variational inequalities

A generalized iterative process for solving mixed variational inequalities with J-Pseudomonotone operators in uniformly smooth Banach spaces is proposed and its weak convergence is established. An application to the stationary filtration problem is given. For such variational inequalities, a generalized iterative regularization method is constructed and its weak convergence under the assumption that the iterative parameter may vary from step to step is analyzed. Our results extend and generalize the corresponding theorems of [A.M. Saddeek, S.A. Ahmed, Convergence analysis of iterative methods for some variational inequalities with J-Pseudomonotone operators in uniformly smooth Banach spaces, Appl. Sci. Comput., accepted for publication, A.M. Saddeek, S.A. Ahmed, On the convergence of some iteration processes for J-Pseudomonotone mixed variational inequalities in uniformly smooth Banach spaces, Math. Comput. Modell., 46(3-4) (2007) 557-572].     

A numerical method for solving nonlinear ill-posed problems

A two-step iterative process for the numerical solution of nonlinear problems is suggested. In order to avoid the ill-posed inversion of the Fréchet derivative operator, some regularization parameter is introduced. A convergence theorem is proved. The proposed method is illustrated by a numerical example in which a nonlinear inverse problem of gravimetry is considered. Based on the results of the numerical experiments practical recommendations for the choice of the regularization parameter are given. Some other iterative schemes are considered.     

Iterative algorithms with variable anchors for non-expansive mappings

In this paper, we suggest and analyze some new iterative algorithms with variable anchors for non-expansive mapping in Banach spaces. We prove that the proposed iterative algorithms converge strongly to a fixed point of some non-expansive mapping. We also obtain some corollaries which include some results as special cases. Furthermore, we conclude the strong convergence of the so-called viscosity iterative algorithms.     

The “Gauss-Seidelization” of iterative methods for solving nonlinear equations in the complex plane

In this paper we introduce a process we have called “Gauss-Seidelization” for solving nonlinear equations. We have used this name because the process is inspired by the well-known Gauss-Seidel method to numerically solve a system of linear equations. Together with some convergence results, we present several numerical experiments in order to emphasize how the Gauss-Seidelization process influences on the dynamical behavior of an iterative method for solving nonlinear equations.     

非扩张映射不动点的粘性逼近方法

在具有一致Gateaux可微范数的Banach空间中,建立了一个改进的非扩张映射不动点的粘性逼近方法,并在一定条件下证明了该方法所得到的迭代序列的强收性.本文所得结果扩展并统一了部分文献的结果.     

一种求解鞍点问题的广义对称超松弛迭代法

本文研究了鞍点问题的迭代算法.利用新的待定参数加速迭代格式并结合SSOR分裂的方法,获得了有两个参数的广义对称超松弛迭代法及其收敛性条件.数值例子表明选择适当的参数值可以提高算法的收敛效率,推广和改进了SOR-like迭代法.