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Then as, both and strongly converge to, where is a sunny nonexpansive retraction from to.
We prove that the proposed algorithms strongly converge to which solves the variational inequality:,.
Furthermore, we prove that the proposed iterative algorithms strongly converge to which solves some variational inequality.
We prove that the proposed algorithms strongly converge to a fixed point of a nonexpansive mapping.
We prove that the proposed algorithms strongly converge to a fixed point of nonexpansive mapping.
As special cases, we prove that the proposed algorithms strongly converge to the minimum norm fixed point of.
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Confirmed by the error estimate, this solution strongly converges to the exact solution in L2-norm.
In particular, we reveal that the SST method with θ∈[0,1] strongly converges to the exact solution with the order 12.
Then strongly converges to.
Thus, is also strongly converges to.
Then {x n } strongly converges to x*.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com