A Strongly Convergent Combined Relaxation Method in Hilbert Spaces
DOI10.1080/01630563.2014.897134zbMath1300.35051OpenAlexW2051128545MaRDI QIDQ2877740
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Publication date: 25 August 2014
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630563.2014.897134
strong convergencevariational inequalitiesHilbert spacestrong monotonicitycombined relaxation methodsfinite co-dimensionsemi-coercive boundary value problem
Variational inequalities (49J40) Monotone operators and generalizations (47H05) Numerical methods of relaxation type (49M20) Unilateral problems for nonlinear elliptic equations and variational inequalities with nonlinear elliptic operators (35J87)
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Cites Work
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- Descent methods for monotone equilibrium problems in Banach spaces
- A \(p\)-version finite element method for nonlinear elliptic variational inequalities in 2D
- Convergence properties of feasible descent methods for solving variational inequalities in Banach spaces
- Descent methods for equilibrium problems in a Banach space
- Modified combined relaxation method for general monotone equilibrium problems in Hilbert spaces
- Interior projection-like methods for monotone variational inequalities
- Proximal Point Approach and Approximation of Variational Inequalities
- A boundary variational inequality approach to unilateral contact problems with friction for micropolar hemitropic solids
- On the convergence of combined relaxation methods for variational inequalties
- A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces
- Convex analysis and monotone operator theory in Hilbert spaces
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