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Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem

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  • Yonghong Yao
  • Rudong Chen
  • Giuseppe Marino
  • Yeong Cheng Liou

Abstract

The multiple-set split feasibility problem requires finding a point closest to a family of closed convex sets in one space such that its image under a linear transformation will be closest to another family of closed convex sets in the image space. It can be a model for many inverse problems where constraints are imposed on the solutions in the domain of a linear operator as well as in the operator’s range. It generalizes the convex feasibility problem as well as the two-set split feasibility problem. In this paper, we will review and report some recent results on iterative approaches to the multiple-set split feasibility problem.

Suggested Citation

  • Yonghong Yao & Rudong Chen & Giuseppe Marino & Yeong Cheng Liou, 2012. "Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-21, April.
  • Handle: RePEc:hin:jnljam:927530
    DOI: 10.1155/2012/927530
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