Strong convergence in Hilbert spaces via \(\varGamma \)-duality

DOI10.1007/s10957-012-0253-9zbMath1272.90114OpenAlexW2147701470MaRDI QIDQ368727

Mohammad Hasan, M. Dambrine, H. S. Yoon

Publication date: 23 September 2013

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-012-0253-9

zbMATH Keywords

strong convergencesubgradient methodHilbert spaces\(\varGamma \)-dualityconvex feasibility

Mathematics Subject Classification ID

Optimality conditions and duality in mathematical programming (90C46) Programming in abstract spaces (90C48)

Related Items (3)

Best Approximation from the Kuhn-Tucker Set of Composite Monotone Inclusions ⋮ On Weak and Strong Convergence of the Projected Gradient Method for Convex Optimization in Real Hilbert Spaces ⋮ A strongly convergent proximal point method for vector optimization

Cites Work

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• Monotone Operators and the Proximal Point Algorithm
• A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces
• Convex analysis and monotone operator theory in Hilbert spaces
• Optimal control

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