Regularized gradient-projection methods for the constrained convex minimization problem and the zero points of maximal monotone operator

In this paper, based on the viscosity approximation method and the regularized gradient-projection algorithm, we find a common element of the solution set of a constrained convex minimization problem and the set of zero points of the maximal monotone operator problem. In particular, the set of zero...

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Vydané v:	Fixed point theory and applications (Hindawi Publishing Corporation) Ročník 2015; číslo 1; s. 1 - 23
Hlavní autori:	Tian, Ming, Jiao, Si-Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.02.2015
Predmet:	Algorithms Analysis Applications of Mathematics Approximation Constraints Convergence Differential Geometry Feasibility Mathematical analysis Mathematical and Computational Biology Mathematics Mathematics and Statistics Minimization Operators Optimization Topology maximal monotone operator 58E35 fixed point equilibrium problem 47H09 variational inequality iterative method constrained convex minimization resolvent 65J15
ISSN:	1687-1812, 1687-1812
On-line prístup:	Získať plný text
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