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On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints

Author

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  • Yair Censor

    ()

  • Wei Chen
  • Patrick Combettes
  • Ran Davidi
  • Gabor Herman

Abstract

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Suggested Citation

  • Yair Censor & Wei Chen & Patrick Combettes & Ran Davidi & Gabor Herman, 2012. "On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints," Computational Optimization and Applications, Springer, vol. 51(3), pages 1065-1088, April.
  • Handle: RePEc:spr:coopap:v:51:y:2012:i:3:p:1065-1088
    DOI: 10.1007/s10589-011-9401-7
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    File URL: http://hdl.handle.net/10.1007/s10589-011-9401-7
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    Citations

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    Cited by:

    1. E. A. Nurminski, 2016. "Single-projection procedure for linear optimization," Journal of Global Optimization, Springer, vol. 66(1), pages 95-110, September.
    2. Jiawei Chen & Qamrul Hasan Ansari & Yeong-Cheng Liou & Jen-Chih Yao, 2016. "A proximal point algorithm based on decomposition method for cone constrained multiobjective optimization problems," Computational Optimization and Applications, Springer, vol. 65(1), pages 289-308, September.
    3. Paulo Oliveira, 2014. "A strongly polynomial-time algorithm for the strict homogeneous linear-inequality feasibility problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 80(3), pages 267-284, December.
    4. Yair Censor & Alexander Zaslavski, 2013. "Convergence and perturbation resilience of dynamic string-averaging projection methods," Computational Optimization and Applications, Springer, vol. 54(1), pages 65-76, January.

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