Stability of strong detonation waves and rates of convergence
In this article, we prove stability of strong detonation waves and find their rate of convergence for a combustion model. Our results read as follows: I) There exists a global solution that converges exponentially in time to a strong detonation wave ...
Tong Li
doaj
Strong Convergence for Mixed Equilibrium Problems of Infinitely Nonexpansive Mappings
We introduce a new iterative scheme for finding a common element of infinitely nonexpansive mappings, the set of solutions of a mixed equilibrium problems, and the set of solutions of the variational inequality for an α-inverse-strongly monotone ...
Jintana Joomwong
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Strong Convergence Theorems for Families of Weak Relatively Nonexpansive Mappings
We construct a new Halpern type iterative scheme by hybrid methods and prove strong convergence theorem for approximation of a common fixed point of two countable families of weak relatively nonexpansive mappings in a uniformly convex and uniformly ...
Yekini Shehu
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Strong Convergence Theorems for a Countable Family of Lipschitzian Mappings
We modify the iterative method introduced by Kim and Xu (2006) for a countable family of Lipschitzian mappings by the hybrid method of Takahashi et al. (2008).
Weerayuth Nilsrakoo, Satit Saejung
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On strong N?p(?)-convergence and S? (?) ?convergence
In this paper, we introduce the concept of strong ??convergence of order ? ( or N? p (?) ?convergence ) of sequence of real numbers and give some inclusion relations between the set of all ??statistical convergence of order ? and strong N? p (?)-convergence.
Şengül Kandemir, Hacer, Et, Mikail
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On strong almost convergence and uniform statistical convergence
The definition of strong almost convergence is extended to a definition of strong almost convergence with respect to an Orlicz function. It is shown that every bounded uniformly statistically null sequence is also strongly almost convergent to zero with respect to any Orlicz function.
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The strong convergence phenomenon
75 pages, 8 figures; survey paper for Current Developments in Mathematics ...
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Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm. [PDF]
Guo Y, Cui W.
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Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces. [PDF]
Boţ RI, Csetnek ER, Meier D.
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Strong convergence theorems for coordinatewise negatively associated random vectors in Hilbert space. [PDF]
Huang X, Wu Y.
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