Convergence analysis of an inertial accelerated iterative algorithm for solving split variational inequality problem

被引:7
|
作者
Ogbuisi, Ferdinard U. [1 ,2 ]
Mewomo, Oluwatosin T. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Math Stat & Comp Sci, Durban, South Africa
[2] DST NRF Ctr Excellence Math & Stat Sci CoE MaSS, Johannesburg, South Africa
基金
新加坡国家研究基金会;
关键词
Split variational inequality problem; demicontractive mapping; strong convergence; Hilbert spaces; inversely strongly monotone mapping; FIXED-POINT PROBLEMS; FORWARD-BACKWARD ALGORITHM; FEASIBILITY PROBLEMS; MONOTONE-OPERATORS; INCLUSION PROBLEM; COMMON SOLUTION; PROXIMAL METHOD; SETS;
D O I
10.1515/apam-2017-0132
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we introduce an iterative scheme involving an inertial term and a step size independent of the operator norm for approximating a solution to a split variational inequality problem in a real Hilbert space. Furthermore, we prove a convergence theorem for the sequence generated by the proposed operator norm independent inertial accelerated iterative scheme. We applied our result to solve split convex minimization problems, split zero problem and further give a numerical example to demonstrate the efficiency of the proposed algorithm.
引用
收藏
页码:339 / 353
页数:15
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