Algorithms for approximating minimization problems in Hilbert spaces
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Publication:534233
DOI10.1016/j.cam.2010.10.055zbMath1221.65151OpenAlexW1998673522MaRDI QIDQ534233
Yonghong Yao, Yeong-Cheng Liou, Kang, Shin Min
Publication date: 17 May 2011
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2010.10.055
fixed pointvariational inequalityminimization problemnonexpansive mappingHilbert spaceiterative algorithmsequilibrium problemmonotone mapping
Numerical mathematical programming methods (65K05) Convex programming (90C25) Variational inequalities (49J40) Numerical methods based on necessary conditions (49M05) Fixed-point theorems (47H10) Programming in abstract spaces (90C48) Numerical methods for variational inequalities and related problems (65K15)
Related Items
General iterative methods for monotone mappings and pseudocontractive mappings related to optimization problems ⋮ A new general system of generalized nonlinear mixed composite-type equilibria and fixed point problems with an application to minimization problems ⋮ Strong convergence theorems based on a new modified extragradient method for variational inequality problems and fixed point problems in Banach spaces ⋮ General Iterative Methods for Semigroups of Nonexpansive Mappings Related to Optimization Problems
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