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Subgradient projection algorithms for convex feasibility problems in the presence of computational errors.
- Source :
-
Journal of Approximation Theory . Nov2013, Vol. 175, p19-42. 24p. - Publication Year :
- 2013
-
Abstract
- Abstract: In the present paper we study convergence of subgradient projection algorithms for solving convex feasibility problems in a Hilbert space. Our goal is to obtain an approximate solution of the problem in the presence of computational errors. We show that our subgradient projection algorithm generates a good approximate solution, if the sequence of computational errors is bounded from above by a constant. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00219045
- Volume :
- 175
- Database :
- Academic Search Index
- Journal :
- Journal of Approximation Theory
- Publication Type :
- Academic Journal
- Accession number :
- 90276800
- Full Text :
- https://doi.org/10.1016/j.jat.2013.07.012