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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Podrobná bibliografie
Vydáno v:	Fixed point theory and algorithms for sciences and engineering Ročník 23; číslo 2; s. 16
Hlavní autoři:	Reich, Simeon, Tuyen, Truong Minh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.05.2021 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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.
Bibliografie:	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