Exact(46)
What makes the method particularly appealing is that (i) it yields faster convergence without affecting the accuracy of the converged solution and (ii) it is not restricted to specific discretization or relaxation schemes and can hence be readily implemented in existing flow solvers.
Experimentally, it is often possible to separate these activities, in the sense that one may cause convergence without accommodation by placing appropriate prisms in front of the eyes; or one may cause accommodation without convergence by placing diverging lenses in front of the eyes.
An experienced observer of stereopairs may be able to achieve the proper focus and convergence without special viewing equipment (e.g., a stereoscope); ordinarily, however, some device is used that allows each eye to see only the appropriate picture of the pair.
Then again, its convergence without compromise, said Vanjoki.
However, we may have the complete convergence without this assumption.
However, our algorithm (3.1) has a strong convergence without the compactness assumption.
Similar(14)
However, Theorem 3.3 is a strong convergence theorem without semicompact assumption.
(2) Can we prove strong convergence theorem without relaxed extragradient method? .
Next, we modify Ishikawa iterative processes to obtain a strong convergence theorem without any compact assumption.
In this section, we prove strong convergence theorems without computational errors in a reflexive Banach space.
This condition allows moving away from a premature convergence state without relying on a restart feature.
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