The split equality problem (SEP) has extraordinary utility and broad applicability in many areas of applied mathematics. Recently, Byrne and Moudafi (2013) proposed a CQ algorithm for solving it. In this paper, we propose a modification for the CQ algorithm, which computes the stepsize adaptively and performs an additional projection step onto two half-spaces in each iteration. We further propose a relaxation scheme for the self-adaptive projection algorithm by using projections onto half-spaces instead of those onto the original convex sets, which is much more practical. Weak convergence results for both algorithms are analyzed
The split feasibility problem SFP has received much attention due to its various applications in sig...
The split feasibility problem models inverse problems arising from phase retrievals problems and int...
Abstract. The split feasibility problem has many applications in various fields of science and techn...
In this article, we study the extended split equality problem and extended split equality fixed poin...
In this article, we introduce a relaxed self-adaptive projection algorithm for solving the multiple-...
Abstract In this article, we first introduce two simultaneous projection algorithms for solving the ...
Abstract In this paper, we are concerned with the split equality problem (SEP) in Hilbert spaces. By...
Abstract The split equality problem is a generalization of the split feasibility problem, meanwhile ...
In this paper, we first study in a Hilbertian framework the weak convergence of a general Gradient P...
The goal of this manuscript is to establish strong convergence theorems for inertial shrinking proje...
The paper proposes an inertial accelerated algorithm for solving split feasibility problem with mult...
Abstract He (J. Inequal. Appl. 2012:Article ID 162 2012) introduced the proximal point CQ algorithm ...
Abstract In this paper, we consider the relaxed gradient projection algorithm to solve the split equ...
The split feasibility problem (SFP) is important due to its occurrence in signal processing and imag...
AbstractIn this paper, we propose a new projection method for solving variational inequality problem...
The split feasibility problem SFP has received much attention due to its various applications in sig...
The split feasibility problem models inverse problems arising from phase retrievals problems and int...
Abstract. The split feasibility problem has many applications in various fields of science and techn...
In this article, we study the extended split equality problem and extended split equality fixed poin...
In this article, we introduce a relaxed self-adaptive projection algorithm for solving the multiple-...
Abstract In this article, we first introduce two simultaneous projection algorithms for solving the ...
Abstract In this paper, we are concerned with the split equality problem (SEP) in Hilbert spaces. By...
Abstract The split equality problem is a generalization of the split feasibility problem, meanwhile ...
In this paper, we first study in a Hilbertian framework the weak convergence of a general Gradient P...
The goal of this manuscript is to establish strong convergence theorems for inertial shrinking proje...
The paper proposes an inertial accelerated algorithm for solving split feasibility problem with mult...
Abstract He (J. Inequal. Appl. 2012:Article ID 162 2012) introduced the proximal point CQ algorithm ...
Abstract In this paper, we consider the relaxed gradient projection algorithm to solve the split equ...
The split feasibility problem (SFP) is important due to its occurrence in signal processing and imag...
AbstractIn this paper, we propose a new projection method for solving variational inequality problem...
The split feasibility problem SFP has received much attention due to its various applications in sig...
The split feasibility problem models inverse problems arising from phase retrievals problems and int...
Abstract. The split feasibility problem has many applications in various fields of science and techn...