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The regularized CQ algorithm without a priori knowledge of operator norm for solving the split feasibility problem
Ming Tian1,2, Hui-Fang Zhang1
1College of Science, Civil Aviation University of China, Tianjin, 300300 China.
Abstract:
The split feasibility problem (SFP) is finding a point [Formula: see text] such that [Formula: see text], where C and Q are nonempty closed convex subsets of Hilbert spaces [Formula: see text] and [Formula: see text], and [Formula: see text] is a bounded linear operator. Byrne's CQ algorithm is an effective algorithm to solve the SFP, but it needs to compute [Formula: see text], and sometimes [Formula: see text] is difficult to work out. López introduced a choice of stepsize [Formula: see text], [Formula: see text], [Formula: see text]. However, he only obtained weak convergence theorems. In order to overcome the drawbacks, in this paper, we first provide a regularized CQ algorithm without computing [Formula: see text] to find the minimum-norm solution of the SFP and then obtain a strong convergence theorem.
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