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Generalized Relaxation of a Class of Operators for Solving Convex Feasibility Problem

عنوان مقاله: Generalized Relaxation of a Class of Operators for Solving Convex Feasibility Problem
شناسه ملی مقاله: ICIORS14_135
منتشر شده در چهاردهمین کنفرانس بین المللی انجمن ایرانی تحقیق در عملیات در سال 1400
مشخصات نویسندگان مقاله:

Mahdi Mirzapour - Assistant Professor, Department of Mathematics, Bu-Ali Sina University, Hamedan, Iran

خلاصه مقاله:
In this paper, we study a fixed point iteration method based on generalized relaxation of string averaging operator. The string averaging operator will be constructed such a way that each string be made by composition of finitely many strictly quasi-nonexpansive operators. The constructed iterative method includes wide class of iterative methods for solving linear systems of equations (inequalities) and fixed-point iterations for solving nonlinear convex feasibility problems. To illustrate the performance of using generalized relaxation, some experiments in image reconstruction from projections is presented.

کلمات کلیدی:
Convex feasibility problem, Generalized relaxation, Quasi-nonexpansive operators, String averaging

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1366069/