2005
DOI: 10.1081/nfa-200045815
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Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings

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Cited by 225 publications
(161 citation statements)
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“…[7,8,11,12,13,14]) studied the viscosity approximation method as follow: for given x 0 ∈ C, the sequence {x n } is generated by…”
Section: Given X Y ∈ H Letmentioning
confidence: 99%
“…[7,8,11,12,13,14]) studied the viscosity approximation method as follow: for given x 0 ∈ C, the sequence {x n } is generated by…”
Section: Given X Y ∈ H Letmentioning
confidence: 99%
“…As a matter of fact, the above algorithms (1.1) and (1.2) have only weak convergence except in a finite dimensional space. To obtain strong convergence in the setting of an infinite dimensional Hilbert or Banach spaces, there exist several iterative algorithms to nonexpansive mappings (e.g., Viscosity iteration algorithm [7], Hybrid projection algorithm [8], Hybrid steepest descent algorithm [9], Halpern-type iteration algorithm [10,11], Shrinking projection algorithm [12], etc.). In general, the nonexpansive mapping may have more than one fixed point.…”
Section: Introductionmentioning
confidence: 99%
“…Yamada and Ogura [YO04] and Mainge [Mai10] named the cutters firmly quasinonexpansive operators. These operators were named directed operators in Zaknoon [Zak03] and further employed under this name by Segal [Seg08] and Censor and Segal [CS08,CS08a,CS09].…”
Section: Preliminariesmentioning
confidence: 99%