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It is shown that the convergence analysis of this method requires only the partially relaxed strongly monotonicity.
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Convergence analysis of the method is briefly discussed.
The convergence analysis of the method is given.
In the 'Error analysis' section, convergence analysis of the method is discussed.
Convergence analysis of the method is presented under reasonable assumptions on the problem data.
Semi-local convergence analysis of the method (GNA) using L-average conditions is presented in Section 4.
Section 3 is devoted to the convergence analysis of the method, which shows monotone convergence properties of the numerical solution toward the solution of the original problem.
Strong convergence analysis of the method is presented under reasonable assumptions on the problem data in the infinite-dimensional Hilbert spaces.
Thirdly, the convergence analysis of the method of self-adaptive relaxation factor and common relaxation iteration has been performed, based on three calculation examples of SCWR fuel assembly.
We carry out a convergence analysis of the method and prove convergence of the generated sequence to a solution of the weak vector variational inequality problems under some mild conditions.
In Section 2, we summarize some basic properties which are useful in the convergence analysis of our method.
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CEO of Professional Science Editing for Scientists @ prosciediting.com