Iterative Subgradient Projection Algorithm

Alexander J. Zaslavski
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Alexander J. Zaslavski: Technion - Israel Institute of Technology

Chapter Chapter 5 in Optimization on Solution Sets of Common Fixed Point Problems, 2021, pp 217-242 from Springer

Abstract: Abstract In this chapter we consider a minimization of a convex function on a solution set of a convex feasibility problem in a general Hilbert space using the iterative subgradient projection algorithm. Our goal is to obtain a good approximate solution of the problem in the presence of computational errors.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-78849-0_5

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DOI: 10.1007/978-3-030-78849-0_5

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