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Let,,, and be the sequences in (II) and (3.1).
for all,,, and be the sequences in (0,1), and, are the sequences in satisfy the following conditions: (i), (ii),, (iii), (iv) with bounded, (v) and.
Let { α n } and { β n } be the sequences in [ 0, 1 ] such that lim n → ∞ α n = 0 and lim inf n → ∞ ( 1 − α n ) β n > 0. We propose the following shrinking projection algorithm based on the prediction correction method.
Let { x n } and { y n } be the sequences in C generated by the following extragradient algorithm: { x 0 = x ∈ C chosen arbitrarily, y n = P C ( x n − λ n ∇ f α n ( x n ) ), x n + 1 = β n x n + ( 1 − β n ) S P C ( x n − λ n ∇ f α n ( y n ) ), ∀ n ≥ 0, (1.11).
Let { x n }, { y n } and { u n } be the sequences in C generated by the following algorithm: { x 0 = x ∈ C chosen arbitrarily, y n = P C ( x n − λ n ∇ f α n x n ), u n = P C ( x n − λ n ∇ f α n y n ), x n + 1 = β n u n + ( 1 − β n ) T n u n, (3.1).
The homologous regions of the genome of an isolate of Maize streak virus (MSV) (NC_001346) [ 54] were used as the outgroup for these analyses, as BLAST searches had shown them to be the sequences in the international sequence databases most closely related to those of MSV.
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Now, let ({x_{n}}_{ngeq0}) be the sequence in the case (3.4).
Now, let ({ u_{n}}_{ngeq0}) be the sequence in the case (2.6).
Let {x n } be the sequence in C generated by (4.1).
For each u ∈ C, let {y n } be the sequence in C defined by (4.1).
where,, and are the sequences in and is a sequence in.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com