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We then prove that the sequence generated by the algorithm converges strongly (convergence in metric) to a minimizer of convex objective functions.
with strongly convergence as.
Now, we introduce an explicit method and establish its strongly convergence analysis.
From (H2), all the growth of is subcritical, so the standard argument shows that admits a strongly convergence subsequence.
We establish a modified proximal point algorithm and prove a strongly convergence theorem to study this problem.
Akashi and Takahashi [3] proved the following strongly convergence attractive point theorem for nonexpansive mappings on a star-shaped set C of a Hilbert space.
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Since algorithm (2.2) is, in general, not strongly convergent, we turn to investigate its weak convergence.
However, it is well known that strongly convergent algorithms are very important for solving infinite dimensional problems and viscosity can effectively transfer weak convergence of certain iterative algorithm to convergence strongly under appropriate conditions.
Now we prove the strongly global convergence of TMPRP1 method for uniformly convex functions.
Both of these show strongly irregular convergence and high-amplitude oscillation in the errors ε in the amacrine cell.
Finally, the central plain of Thailand is an area with intense farming activities, including pig husbandry, reflecting strongly the convergence across multiple risk models here.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com