A modified proximal point algorithm with errors for approximating solution of the general variational inclusion

A modified proximal point algorithm with errors for approximating solution of the general variational inclusion

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Article ID: iaor20127762
Volume: 40
Issue: 6
Start Page Number: 564
End Page Number: 567
Publication Date: Nov 2012
Journal: Operations Research Letters
Authors:
Keywords: programming: convex
Abstract:

In this paper, a modified proximal point algorithm with errors, which consists of a resolvent operator technique step with errors followed by a modified orthogonal projection onto a moving half‐space, is constructed for approximating the solution of the general variational inclusion in Hilbert space. The convergence of the iterative sequence is shown under weak assumptions. The results improve and extend some known results.

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