Inertial accelerated algorithms for solving split feasibility with multiple output sets in Hilbert spaces

被引:11
作者
Okeke, Chibueze C. [2 ]
Jolaoso, Lateef O. [3 ]
Shehu, Yekini [1 ]
机构
[1] Zhejiang Normal Univ, Dept Math, Jinhua 321004, Zhejiang, Peoples R China
[2] Univ Witwatersrand, Sch Math, Private Bag 3, ZA-2050 Johannesburg, South Africa
[3] Sefako Makgatho Hlth Sci Univ, Dept Math & Appl Math, POB 94 Medunsa 0204, Pretoria, South Africa
关键词
Hilbert space; inertial technique; metric projection; split feasibility problem; SHRINKING PROJECTION METHOD; MAXIMAL MONOTONE-OPERATORS; NULL POINT PROBLEM; ITERATIVE ALGORITHMS; STRONG-CONVERGENCE; WEAK-CONVERGENCE;
D O I
10.1515/ijnsns-2021-0116
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we propose two inertial accelerated algorithms which do not require prior knowledge of operator norm for solving split feasibility problem with multiple output sets in real Hilbert spaces. We prove weak and strong convergence results for approximating the solution of the considered problem under certain mild conditions. We also give some numerical examples to demonstrate the performance and efficiency of our proposed algorithms over some existing related algorithms in the literature.
引用
收藏
页码:769 / 790
页数:22
相关论文
共 46 条
[1]   TWO INERTIAL EXTRAGRADIENT VISCOSITY ALGORITHMS FOR SOLVING VARIATIONAL INEQUALITY AND FIXED POINT PROBLEMS [J].
Abbas, Mujahid ;
Iqbal, Hira .
JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS, 2020, 4 (03) :377-398
[2]   Weak convergence of a relaxed and inertial hybrid projection-proximal point algorithm for maximal monotone operators in Hilbert space [J].
Alvarez, F .
SIAM JOURNAL ON OPTIMIZATION, 2004, 14 (03) :773-782
[4]   An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping [J].
Alvarez, F ;
Attouch, H .
SET-VALUED ANALYSIS, 2001, 9 (1-2) :3-11
[5]  
[Anonymous], 2015, Convex Optimization in Normed Spaces, SpringerBriefs in Optimization, DOI DOI 10.1007/978-3-319-13710-0
[6]   A DYNAMICAL APPROACH TO AN INERTIAL FORWARD-BACKWARD ALGORITHM FOR CONVEX MINIMIZATION [J].
Attouch, Hedy ;
Peypouquet, Juan ;
Redont, Patrick .
SIAM JOURNAL ON OPTIMIZATION, 2014, 24 (01) :232-256
[7]  
Bauschke HH, 2011, CMS BOOKS MATH, P1, DOI 10.1007/978-1-4419-9467-7
[8]   A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems [J].
Beck, Amir ;
Teboulle, Marc .
SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (01) :183-202
[9]  
Bot RI, 2016, MINIMAX THEORY APPL, V1, P29
[10]   An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems [J].
Bot, Radu Ioan ;
Csetnek, Ernoe Robert .
NUMERICAL ALGORITHMS, 2016, 71 (03) :519-540