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A more popular algorithm that solves the split feasibility problem (1.1) is the so-called CQ algorithm introduced by Byrne [2].
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The popular algorithm that solves the multiple-sets split feasibility problem and the split feasibility problem is Byrne's CQ algorithm [11] which is found to be a gradient-projection method in convex minimization.
(3.3) Then (x^) solves the split feasibility problem (3.1) if and only if (x^) solves the minimization problem (3.3).
That solved the age problem.
But would that solve the problem?
Will that solve the problem?
Wouldn't that solve the problem?
"Would that solve the problem?" Pause.
And that solved the problem.
In some cases, the time required for communication is higher than that for solving the split tasks.
(1.2). (2) Now, we know that to solve (1.2) is exactly to solve the split feasibility problem of finding (x^{ddagger}) such that x^{ddagger}in C quad mbox{and} quad Ax^{ddagger}in Q (1.3) provided (Ccap A^{-1}(Q neemptyset).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com