General variational inclusions in spaces.
Noor, Muhammad Aslam (2006)
International Journal of Mathematics and Mathematical Sciences
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Noor, Muhammad Aslam (2006)
International Journal of Mathematics and Mathematical Sciences
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Noor, Muhammad Aslam, Akhter, Muzaffar, Noor, Khalida Inayat (2003)
International Journal of Mathematics and Mathematical Sciences
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Bnouhachem, Abdellah, Noor, Muhammad Aslam, Al-Shemas, Eman H. (2008)
Mathematical Problems in Engineering
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Verma, Ram U. (2002)
Journal of Applied Mathematics and Stochastic Analysis
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Noor, Muhammad Aslam (1996)
Journal of Applied Mathematics and Stochastic Analysis
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Alexander Kaplan, Rainer Tichatschke (2010)
Discussiones Mathematicae, Differential Inclusions, Control and Optimization
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In this paper we clarify that the interior proximal method developed in [6] (vol. 27 of this journal) for solving variational inequalities with monotone operators converges under essentially weaker conditions concerning the functions describing the "feasible" set as well as the operator of the variational inequality.
Lin, Yen-Cherng (2008)
Journal of Inequalities and Applications [electronic only]
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Noor, Muhammad Aslam, Noor, Khalida Inayat (2003)
Journal of Applied Mathematics and Stochastic Analysis
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Noor, Muhammad Aslam, Noor, Khalida Inayat (2005)
International Journal of Mathematics and Mathematical Sciences
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Liu, Zeqing, Gao, Haiyan, Kang, Shin Min, Shim, Soo Hak (2006)
International Journal of Mathematics and Mathematical Sciences
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Noor, Muhammad Aslam (2002)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Liu, Zeqing, Zheng, Pingping, Ume, Jeong Sheok, Kang, Shin Min (2009)
Journal of Inequalities and Applications [electronic only]
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Lateef O. Jolaoso, Oluwatosin T. Mewomo (2020)
Commentationes Mathematicae Universitatis Carolinae
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This paper presents an inertial iterative algorithm for approximating a common solution of split equalities of generalized mixed equilibrium problem, monotone variational inclusion problem, variational inequality problem and common fixed point problem in real Hilbert spaces. The algorithm is designed in such a way that it does not require prior knowledge of the norms of the bounded linear operators. We prove a strong convergence theorem under some mild conditions of the control sequences...