On self-adaptive method for general mixed variational inequalities.
Bnouhachem, Abdellah, Noor, Muhammad Aslam, Al-Shemas, Eman H. (2008)
Mathematical Problems in Engineering
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Displaying similar documents to “Projection iterative schemes for general variational inequalities.”
On self-adaptive method for general mixed variational inequalities.
Self-adaptive implicit methods for monotone variant variational inequalities.
Ge, Zhili, Han, Deren (2009)
Journal of Inequalities and Applications [electronic only]
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On two iterative methods for mixed monotone variational inequalities.
Lu, Xiwen, Xu, Hong-Kun, Yin, Ximing (2010)
Fixed Point Theory and Applications [electronic only]
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Operator-splitting methods for general mixed variational inequalities.
Noor, Muhammad Aslam (2002)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Minty variational inequalities and monotone trajectories of differential inclusions.
Crespi, Giovanni P., Rocca, Matteo (2004)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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On certain classes of variational inequalities and related iterative algorithms.
Noor, Muhammad Aslam (1996)
Journal of Applied Mathematics and Stochastic Analysis
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General variational inclusions in spaces.
Noor, Muhammad Aslam (2006)
International Journal of Mathematics and Mathematical Sciences
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Auxiliary principle for generalized nonlinear variational-like inequalities.
Liu, Zeqing, Gao, Haiyan, Kang, Shin Min, Shim, Soo Hak (2006)
International Journal of Mathematics and Mathematical Sciences
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On nonlinear variational inequalities.
Noor, Muhammed Aslam (1991)
International Journal of Mathematics and Mathematical Sciences
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General algorithm and sensitivity analysis for variational inequalities.
Noor, Muhammad Aslam (1992)
Journal of Applied Mathematics and Stochastic Analysis
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Augmented Lagrangian methods for variational inequality problems
Alfredo N. Iusem, Mostafa Nasri (2010)
RAIRO - Operations Research
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We introduce augmented Lagrangian methods for solving finite dimensional variational inequality problems whose feasible sets are defined by convex inequalities, generalizing the proximal augmented Lagrangian method for constrained optimization. At each iteration, primal variables are updated by solving an unconstrained variational inequality problem, and then dual variables are updated through a closed formula. A full convergence analysis is provided, allowing for inexact solution of...
Forward-backward resolvent splitting methods for general mixed variational inequalities.
Noor, Muhammad Aslam, Akhter, Muzaffar, Noor, Khalida Inayat (2003)
International Journal of Mathematics and Mathematical Sciences
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