Abstract In this paper, we are concerned with the split equality problem (SEP) in Hilbert spaces. By converting it to a coupled fixed-point equation, we propose a new algorithm for solving the SEP. Whenever the convex sets involved are level sets of given convex functionals, we propose two new relaxed alternating algorithms for the SEP. The first relaxed algorithm is shown to be weakly convergent and the second strongly convergent. A new idea is introduced in order to prove strong convergence of the second relaxed algorithm, which gives an affirmative answer to Moudafi’s question. Finally, preliminary numerical results show the efficiency of the proposed algorithms
In this article, we study the extended split equality problem and extended split equality fixed poin...
Abstract The split equality problem has board applications in many areas of applied mathematics. Man...
In this paper, we establish an iterative algorithm by combining Yamada’s hybrid steepest descent met...
Abstract In this paper, we consider the relaxed gradient projection algorithm to solve the split equ...
The split equality problem (SEP) has extraordinary utility and broad applicability in many areas of ...
Abstract The split equality problem is a generalization of the split feasibility problem, meanwhile ...
Copyright c © 2014 Zhaoli Ma, Wen Duan and RuiJuan Liu. This is an open access article distributed u...
Abstract In this paper, we study the split-feasibility problem in Hilbert spaces by using the projec...
In this paper, we first study in a Hilbertian framework the weak convergence of a general Gradient P...
Abstract This paper introduces a new extragradient-type method to solve the multiple-sets split equa...
Abstract In this paper, we present a new extragradient algorithm for approximating a solution of the...
The split feasibility problem models inverse problems arising from phase retrievals problems and int...
The split feasibility problem SFP has received much attention due to its various applications in sig...
In this paper, a new viscosity type iterative algorithm is used for obtaining a strong convergence r...
Abstract In this article, we first introduce two simultaneous projection algorithms for solving the ...
In this article, we study the extended split equality problem and extended split equality fixed poin...
Abstract The split equality problem has board applications in many areas of applied mathematics. Man...
In this paper, we establish an iterative algorithm by combining Yamada’s hybrid steepest descent met...
Abstract In this paper, we consider the relaxed gradient projection algorithm to solve the split equ...
The split equality problem (SEP) has extraordinary utility and broad applicability in many areas of ...
Abstract The split equality problem is a generalization of the split feasibility problem, meanwhile ...
Copyright c © 2014 Zhaoli Ma, Wen Duan and RuiJuan Liu. This is an open access article distributed u...
Abstract In this paper, we study the split-feasibility problem in Hilbert spaces by using the projec...
In this paper, we first study in a Hilbertian framework the weak convergence of a general Gradient P...
Abstract This paper introduces a new extragradient-type method to solve the multiple-sets split equa...
Abstract In this paper, we present a new extragradient algorithm for approximating a solution of the...
The split feasibility problem models inverse problems arising from phase retrievals problems and int...
The split feasibility problem SFP has received much attention due to its various applications in sig...
In this paper, a new viscosity type iterative algorithm is used for obtaining a strong convergence r...
Abstract In this article, we first introduce two simultaneous projection algorithms for solving the ...
In this article, we study the extended split equality problem and extended split equality fixed poin...
Abstract The split equality problem has board applications in many areas of applied mathematics. Man...
In this paper, we establish an iterative algorithm by combining Yamada’s hybrid steepest descent met...