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用于解决分裂可行性问题的CQ算法的新广义变步长

New generalized variable stepsizes of the CQ algorithm for solving the split feasibility problem.

作者信息

Wang Peiyuan, Zhou Jianjun, Wang Risheng, Chen Jie

机构信息

Postdoctoral workstation, China Marine Development and Reserch Center (CMDRC), P.O. Box 1301, Beijing, 102249 China.

Naval Aviation University, Yantai, 266041 China.

出版信息

J Inequal Appl. 2017;2017(1):135. doi: 10.1186/s13660-017-1409-9. Epub 2017 Jun 12.

Abstract

Variable stepsize methods are effective for various modified CQ algorithms to solve the split feasibility problem (SFP). The purpose of this paper is first to introduce two new simpler variable stepsizes of the CQ algorithm. Then two new generalized variable stepsizes which can cover the former ones are also proposed in real Hilbert spaces. And then, two more general KM (Krasnosel'skii-Mann)-CQ algorithms are also presented. Several weak and strong convergence properties are established. Moreover, some numerical experiments have been taken to illustrate the performance of the proposed stepsizes and algorithms.

摘要

变步长方法对于各种改进的CQ算法求解分裂可行性问题(SFP)是有效的。本文的目的首先是引入两种新的更简单的CQ算法变步长。然后在实希尔伯特空间中还提出了两种能够涵盖前两者的新的广义变步长。接着,还给出了另外两种更一般的KM(克拉索夫斯基 - 曼恩)-CQ算法。建立了若干弱收敛和强收敛性质。此外,还进行了一些数值实验来说明所提出的步长和算法的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5624/5488062/61bfb5543772/13660_2017_1409_Fig1_HTML.jpg

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