Iterative algorithms based on the viscosity approximation method for equilibrium and constrained convex minimization problem

The gradient-projection algorithm (GPA) plays an important role in solving constrained convex minimization problems. Based on the viscosity approximation method, we combine the GPA and averaged mapping approach to propose implicit and explicit composite iterative algorithms for finding a common solu...

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Veröffentlicht in:	Fixed point theory and algorithms for sciences and engineering Jg. 2012; H. 1; S. 1 - 17
Hauptverfasser:	Tian, Ming, Liu, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 07.11.2012 Springer Nature B.V
Schlagworte:	Analysis Applications of Mathematics Approximation Constraints Convergence Differential Geometry Iterative algorithms Mathematical analysis Mathematical and Computational Biology Mathematics Mathematics and Statistics Minimization Optimization Topology Viscosity variational inequality constrained convex minimization iterative algorithm equilibrium problem
ISSN:	1687-1812, 1687-1820, 1687-1812, 2730-5422
Online-Zugang:	Volltext
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