Two new self-adaptive algorithms for solving the split common null point problem with multiple output sets in Hilbert spaces

To solve the split common null point problem with multiple output sets in Hilbert spaces, we introduce two new self-adaptive algorithms and prove strong convergence theorems for both of them.

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Veröffentlicht in:Fixed point theory and algorithms for sciences and engineering Jg. 23; H. 2; S. 16
Hauptverfasser: Reich, Simeon, Tuyen, Truong Minh
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.05.2021
Springer Nature B.V
Schlagworte:
Adaptive algorithms
Algorithms
Analysis
Feasibility
Hilbert space
Iterative methods
Mathematical Methods in Physics
Mathematics
Mathematics and Statistics
Regularization methods
Theorems
split common null point problem
47H10
metric projection
49J53
90C25
self-adaptive algorithm
47H09
nonexpansive mapping
Hilbert space
ISSN:1661-7738, 1661-7746, 2730-5422
Online-Zugang:Volltext
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Zusammenfassung:To solve the split common null point problem with multiple output sets in Hilbert spaces, we introduce two new self-adaptive algorithms and prove strong convergence theorems for both of them.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1661-7738
1661-7746
2730-5422
DOI:10.1007/s11784-021-00848-2