Methods for solving constrained convex minimization problems and finding zeros of the sum of two operators in Hilbert spaces
DOI10.1186/s13660-015-0743-zzbMath1336.58011OpenAlexW2118336181WikidataQ59434753 ScholiaQ59434753MaRDI QIDQ264970
Yeong-Cheng Liou, Ming Tian, Si-Wen Jiao
Publication date: 1 April 2016
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-015-0743-z
resolventfixed pointvariational inequalityiterative methodmaximal monotone operatorconstrained convex minimizationinverse-strongly monotone mappingstrict pseudo-contraction
Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09) Variational inequalities (global problems) in infinite-dimensional spaces (58E35) Numerical solutions to equations with nonlinear operators (65J15)
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