层次分析法中判断矩阵一致性修正的新算法

设计了判断矩阵一致性修正的一种新方法,使判断矩阵一致性在每次迭代修正过程中得到最大程度改善,并通过一个非线性规划模型描述每次迭代的过程.同时作者也证明了这种迭代方法具有收敛性,即通过有限次迭代能够达到满意的一致性阈值.最后给出了一个算例,并进行了比较.     

p一致凸Banach空间中渐近半压缩映象迭代过程的强收敛性

研究p一致凸Banach空间中渐近半压缩映象的修正的Mann迭代过程和修正的Ishikawa迭代过程的强收敛性.本文始终假设X是p一致凸Banach空间.最近,r-渐近半压缩映象的概念被引入,并给出了X中该映象(此时,r=p)的修正的Mann迭代过程和修正的Ishikawa迭代过程的强收敛性定理,文章所得结果改进、推广和统一了近期相关结果.     

p-致凸Banach空间中渐近半压缩映象迭代过程的强收敛性

研究p-致凸Banach空间中渐近半压缩映象的修正的Mann迭代过程和修正的Ishikawa迭代过程的强收敛性．本文始终假设X是P-致凸Banach空间．最近，r-渐近半压缩映象的概念被引入，并给出了X中该映象（此时，r=P）的修正的Mann迭代过程和修正的Ishikawa迭代过程的强收敛性定理，文章所得结果改进、推广和统一了近期相关结果．     

鞍点问题的修正对称超松弛迭代算法

为了提高求解鞍点问题的迭代算法的速度,通过设置合适的加速变量,对修正超松弛迭代算法（简记作MSOR-like算法）和广义对称超松弛迭代算法（简记作GSSOR-like算法）进行了修正,给出了修正对称超松弛迭代算法,即MSSOR-like （modified symmetric successiveover-relaxation）算法,并研究了该算法收敛的充分必要条件.最后,通过数值例子表明,选择合适的参数后,新算法的迭代速度和迭代次数均优于MSOR-like （modified successive overrelaxation）和GSSOR-like （generalized symmetric successive over-relaxation）算法,因此,它是一种较好的解决鞍点问题的算法.     

一类求解鞍点问题的修正SOR迭代方法

针对鞍点问题,该文详细讨论和分析了修正SOR弛迭代方法的收敛性.理论分析表明,当选择合适的参数时,修正SOR迭代方法迭代方法是收敛的.进一步,我们得到了修正SOR迭代方法收敛时参数需要满足的条件.最后,数值算例表明了该方法的正确性以及有效性.     

矩阵填充的硬阈值修正算法

提出了使用硬阈值进行矩阵填充的修正算法.算法通过对迭代矩阵进行对角修正来完成矩阵填充,并给出了算法的收敛性分析.最后通过数值实验比较了修正算法与硬阈值算法填充的数值结果,显示出了新算法的优越性.     

Banach空间中Mann-Ishikawa迭代和Multi-Step迭代的等价性问题

本文研究了一致光滑Banach空间中迭代算法等价性的问题.利用泛函分析的方法,获得了广义强连接Φ伪压缩算子在具误差的修正的Mann-Ishikawa迭代和具误差的修正的multi-step 迭代下收敛等价性的结果,推广了目前的相关结果.     

关于有限族一致渐近φ-伪压缩映象的四种迭代序列收敛的等价性(英文)

本文证明了在任意的Banach空间上的关于有限族一致渐进φ-伪压缩映象的具误差的修正Mann迭代过程,具误差的修正Ishikwaw迭代过程,具误差的隐示迭代过程和具误差的合成隐示迭代过程收敛的等价性,其结果推广和改进了Roades,Soltuz和Huang等人的相应结果.     

Banach空间中修正的Mann迭代与Ishikawa迭代收敛的等价性

在实Banach空间框架下,证明了新修正的Mann迭代与修正的Ishikawa迭代关于一致Lipschitz映射不动点收敛的等价性.     

相对非扩展映射不动点的修正杂交迭代算法及其应用

在实一致凸、一致光滑Banach空间中,提出了新的修正杂交迭代算法,用以逼近相对非扩展映射的不动点.证明了一些强收敛定理,并讨论了迭代算法在逼近极大单调算子零点上的应用,推进了以往的研究成果.     

Approximating endpoints of multi-valued nonexpansive mappings in Banach spaces

The purpose of this paper is to introduce a modified Ishikawa iteration for multi-valued mappings and show that the proposed iteration pattern will converge to an endpoint of a certain multi-valued nonexpansive mapping.     

The equivalence between the convergences of Ishikawa and Mann iterations for an asymptotically nonexpansive in the intermediate sense and strongly successively pseudocontractive maps

The convergence of modified Mann iteration is equivalent to the convergence of modified Ishikawa iterations, when T is an asymptotically nonexpansive in the intermediate sense and strongly successively pseudocontractive map.     

A Strong Convergence Theorem for Equilibrium problems and Generalized Hybrid mappings

Mediterranean Journal of Mathematics - In this paper, we introduce a new modified Ishikawa iteration for finding a common element of the set of solutions of an equilibrium problem and the set of...     

The necessary and sufficient condition for the convergence of Ishikawa iteration on an arbitrary interval

As an important iteration, the Mann and Ishikawa iteration has extensive application in fixed point theory. In 1991, David Borwein and Jonathan Borwein proved the convergence of the Mann iteration on a closed bounded interval in their paper. In this paper, we will extend their result to an arbitrary interval and to the Ishikawa iteration, indicating the necessary and sufficient condition for the convergence of Ishikawa iteration of continuous functions on an arbitrary interval.     

Analysis and numerical simulation for a class of time fractional diffusion equation via tension spline

In this work, we prove the weak and strong convergence of a sequence generated by a modified S-iteration process for finding a common fixed point of two G-nonexpansive mappings in a uniformly convex Banach space with a directed graph. We also give some numerical examples for supporting our main theorem and compare convergence rate between the studied iteration and the Ishikawa iteration.     

关于有限族Lipschitz映射多步Ishikawa迭代算法的收敛性及其应用

本文的目的是研究Lipschitz映射公共不动点问题.基于传统的Ishikawa迭代和Noor迭代方法,我们引入多步Ishikawa迭代算法,并且分别给出了该算法强收敛于有限族拟-Lipschitz映射和伪压缩映射公共不动点的充分必要条件.此外,我们证明了该算法强收敛到非扩张映射的公共不动点.作为应用,我们给出数值试验证实所得的结论.     

Strong convergence theorems of hybrid methods for two asymptotically nonexpansive mappings in Hilbert spaces

In this paper, we introduce two modifications of the Ishikawa iteration, by using the hybrid methods, for asymptotically nonexpansive mappings and asymptotically nonexpansive semigroups in a Hilbert space. Then, we prove that such two sequences converge strongly to common fixed points of two symptotically nonexpansive mappings and asymptotically nonexpansive semigroups, respectively. Our main result is connected with the results of Plubtieng and Ungchittrakool [S. Plubtieng, K. Ungchittrakool, Strong convergence of modified Ishikawa iteration for two asymptotically nonexpansive mappings and semigroups, Nonlinear. Anal. 67(2007) 2306-2315], Martinez-Yanes and Xu [C. Martinez-Yanes, H.K. Xu, Strong convergence of CQ method for fixed point iteration processes, Nonlinear. Anal. 64 (2006) 2400-2411] and many others.     

Banach空间中Mann迭代和Ishikawa迭代的等价性问题

用不同于已有的方法证明了任意实Banach空间中一致Lipschitz强连接伪压缩算子在具误差的修正的Mann迭代和具误差的修正的Ishikawa迭代下收敛和稳定的等价性,其中迭代参数{βn}仅需lim sup n→∞βn〈k/L（L＋1）,这推广和改进了目前需假设lim n→∞ βn=0和两迭代程序初始点的取值需相同条件下的已有结果.     

一类非线性算子的带误差的Ishikawa迭代程序及其稳定性

建立了任意实Banach空间中带误差的Ishikawa迭代程序逼近Lipschitz强伪压缩算子的不动点的一般性定理,指出已被广泛广泛研究的Ishikawa迭代序列的稳定性问题仅是带误差的Ishikawa迭代程序的特例,作为直接的应用,用不同于通常的方法证得任意实Banach空间中的Ishikawa迭代序列关于Lipschitz强伪压缩算子是稳定的,这些推广或发展了近期许多相应的结果。