Abstract
The split equality problem has extraordinary utility and broad applicability in many areas of applied mathematics. Recently, Moudafi proposed an alternating CQ algorithm and its relaxed variant to solve it. However, to employ Moudafi’s algorithms, one needs to know a priori norm (or at least an estimate of the norm) of the bounded linear operators (matrices in the finite-dimensional framework). To estimate the norm of an operator is very difficult, but not an impossible task. It is the purpose of this paper to introduce a projection algorithm with a way of selecting the stepsizes such that the implementation of the algorithm does not need any priori information about the operator norms. We also practise this way of selecting stepsizes for variants of the projection algorithm, including a relaxed projection algorithm where the two closed convex sets are both level sets of convex functions, and a viscosity algorithm. Both weak and strong convergence are investigated.
Acknowledgments
The authors would like to express their thanks to Abdellatif Moudafi for helpful correspondence and the referees for their pertinent comments and suggestions.
Notes
1 Supported by National Natural Science Foundation of China [grant number 11201476]; Fundamental Research Funds for the Central Universities [grant number 3122013k004] and in part by the Foundation of Tianjin Key Lab for Advanced Signal Processing.