New Inertial Forward-Backward Mid-Point Methods for Sum of Infinitely Many Accretive Mappings, Variational Inequalities, and Applications

Li Wei, Yingzi Shang and Ravi P. Agarwal
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Li Wei: School of Mathematics and Statistics, Hebei University of Economics and Business, Shijiazhuang 050061, China
Yingzi Shang: School of Mathematics and Statistics, Hebei University of Economics and Business, Shijiazhuang 050061, China
Ravi P. Agarwal: Department of Mathematics, Texas A & M University-Kingsville, Kingsville, TX 78363, USA

Mathematics, 2019, vol. 7, issue 5, 1-19

Abstract: Some new inertial forward-backward projection iterative algorithms are designed in a real Hilbert space. Under mild assumptions, some strong convergence theorems for common zero points of the sum of two kinds of infinitely many accretive mappings are proved. New projection sets are constructed which provide multiple choices of the iterative sequences. Some already existing iterative algorithms are demonstrated to be special cases of ours. Some inequalities of metric projection and real number sequences are widely used in the proof of the main results. The iterative algorithms have also been modified and extended from pure discussion on the sum of accretive mappings or pure study on variational inequalities to that for both, which complements the previous work. Moreover, the applications of the abstract results on nonlinear capillarity systems are exemplified.

Keywords: m-accretive mapping; strongly positive mapping; ? -inversely strongly accretive mapping; ? -Lipschitz continuous mapping; variational inequalities; capillarity systems (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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