
doi: 10.1155/2012/125046
The purpose of this paper is to introduce and analyze a strongly convergent method which combined regularized method, with extragradient method for solving the split feasibility problem in the setting of infinite‐dimensional Hilbert spaces. Note that the strong convergence point is the minimum norm solution of the split feasibility problem.
infinite-dimensional Hilbert spaces, Numerical mathematical programming methods, Inverse problems in optimal control, Other numerical methods in calculus of variations, strongly convergent method, QA1-939, Numerical solution to inverse problems in abstract spaces, split feasibility problem, Mathematics
infinite-dimensional Hilbert spaces, Numerical mathematical programming methods, Inverse problems in optimal control, Other numerical methods in calculus of variations, strongly convergent method, QA1-939, Numerical solution to inverse problems in abstract spaces, split feasibility problem, Mathematics
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