In this paper, we first introduce a self-adaptive projection algorithm by adopting Armijolike searches to solve the spit equality problem (SEP), then we propose a relaxed 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.
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Dong et al. (2017) studied this question.
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