期刊文献+

基于杂交投影算法逼近渐近非扩张映射的不动点

Approximation of Fixed Points of Asymptotically Nonexpansive Mappings Based on Hybrid Projection Algorithm
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摘要 杂交投影算法考虑了具有误差的修正Mann迭代过程,在Hilbert空间的框架下,验证了由该杂交投影算法产生序列的收敛性,并在缺乏紧性的条件下建立了不动点序列的强收敛定理.所得结果改进和推广了近期的一些相应已知结果. In this paper,Mann iterative process with errors is considered based on hybrid projection algorithm.Convergence of iterative sequences generated in the purposed hybrid projection algorithm are obtained.A strong convergence theorem of fixed point sequence is established.The results presented in this paper improve and extend some corresponding known results.
作者 孙利娟 缪亮
出处 《河南大学学报(自然科学版)》 CAS 北大核心 2011年第4期416-419,共4页 Journal of Henan University:Natural Science
关键词 杂交投影算法 非扩张映射 渐近非扩张映射 度量投影 hybrid projection algorithm nonexpansive mapping asymptotically nonexpansive mapping metric projection
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参考文献8

  • 1秦小龙,吴常群,商美娟.Hilbert空间框架下严格渐近伪压缩映像的强收敛定理(英文)[J]数学研究与评论,2009(01).
  • 2Yongfu SU Xiaolong QIN.STRONG CONVERGENCE OF MONOTONE HYBRID METHOD FOR FIXED POINT ITERATION PROCESSES[J].Journal of Systems Science & Complexity,2008,21(3):474-482. 被引量:1
  • 3Zhou H Y,Su Y F.Strong convergence theorems for a family of quasi-asymptotic pseudo-contractions in Hilbert spaces. Nonlinear Analysis . 2009
  • 4Qin X L,Cho S Y,Kang S M.On hybrid projection methods for asymptotically quasi-nonexpansive mappings. Applied Mathematics and Computation . 2010
  • 5Nakajo K,Takahashi W.Strong convergence theoremsfor nonexpansive mappings and nonexpansive semigroups. Journal of Mathematical Analysis and Applications . 2003
  • 6Schu J.Iterative construction of fixed points of asymptotically nonexpansive mappings. Journal of Mathematical . 1991
  • 7Goebel K,Kirk WA.A fixed point theorem for asymptotically nonexpansive mappings. Proceedings of the American Mathematical Society . 1972
  • 8KIM T H,XU Hongkun.Strong convergence of modified Mann iterations for asymptotically nonexpansive mappings and semigroups. Nonlinear Analysis . 2006

二级参考文献13

  • 1W. Takahashi, Nonlinear Functional Analysis, Yokohama Publishers, Yokohama, 2000.
  • 2C. Byrne, A unified treatment of some iterative algorithms in signal processing and image recon- struction, Inverse Problems, 2004, 20: 103-120.
  • 3C. I. Podilchuk and R. J. Mammone, Image recovery by convex projections using a least-squares constraint, J. Opt. Soc. Am., 1990, A7:517 521.
  • 4M. I. Sezan and H. Stark, Applications of convex projection theory to image recovery in tomography and related areas, in Image Reconvery Theory and Applications (Ed. by H. Stark), Academic Press, Orlando, 1987, 415 562.
  • 5D. Youla, Mathematical theory of image restoration by the method of convex projections, in Image Reconvery: Theory and Applications (Ed. by H. Stark), Academic Press, Orlando, 1987, 29-77.
  • 6D. Youla, On determinstic convergence of iterations of relaxed projection operators, of. Visual Comm. Image Representation, 1990, 1:12 20.
  • 7S. Reich, Weak convergence theorems for nonexpansive mappings in Banach spaces, J. Math. Anal. Appl., 1979, 67:274 276.
  • 8K. Nakajo and W. Takahashi, Strong convergence theorems for nonexpansive mappings and nonexpansive semigroups, J. Math. Anal. Appl., 2003, 279:372 379.
  • 9S. Kamimura and W. Takahashi, Approximating solutions of maximal monotone operators in Hilbert spaces, J. Approx. Theory, 2000, 106:226 240.
  • 10B. Martinet, Regularisation dinequations variationnelles par approximations successives, Rev. Franc. Inform. Rech. Oper., 1970, 4: 154-159.

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