Iterative algorithm with self-adaptive step size for approximating the common solution of variational inequality and fixed point problems
In this paper, we propose and study new inertial viscosity Tseng's extragradient algorithms with self-adaptive step size to solve the variational inequality problem (VIP) and the fixed point problem (FPP) in Hilbert spaces. Our proposed methods involve a projection onto a half-space and self-ad...
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Published in | Optimization Vol. 72; no. 3; pp. 677 - 711 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Philadelphia
Taylor & Francis
04.03.2023
Taylor & Francis LLC |
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Abstract | In this paper, we propose and study new inertial viscosity Tseng's extragradient algorithms with self-adaptive step size to solve the variational inequality problem (VIP) and the fixed point problem (FPP) in Hilbert spaces. Our proposed methods involve a projection onto a half-space and self-adaptive step size. We prove that the sequence generated by our proposed methods converges strongly to a common solution of the VIP and FPP of an infinite family of strict pseudo-contractive mappings in Hilbert spaces under some mild assumptions when the underlying operator is monotone and Lipschitz continuous. Furthermore, we apply our results to find a common solution of VIP and zero-point problem (ZPP) for an infinite family of maximal monotone operators. Finally, we provide some numerical experiments of the proposed methods in comparison with other existing methods in the literature. |
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AbstractList | In this paper, we propose and study new inertial viscosity Tseng's extragradient algorithms with self-adaptive step size to solve the variational inequality problem (VIP) and the fixed point problem (FPP) in Hilbert spaces. Our proposed methods involve a projection onto a half-space and self-adaptive step size. We prove that the sequence generated by our proposed methods converges strongly to a common solution of the VIP and FPP of an infinite family of strict pseudo-contractive mappings in Hilbert spaces under some mild assumptions when the underlying operator is monotone and Lipschitz continuous. Furthermore, we apply our results to find a common solution of VIP and zero-point problem (ZPP) for an infinite family of maximal monotone operators. Finally, we provide some numerical experiments of the proposed methods in comparison with other existing methods in the literature. |
Author | Ogwo, G. N. Alakoya, T. O. Mewomo, O. T. |
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SubjectTerms | Adaptive algorithms fixed point problem Half spaces Hilbert space Iterative algorithms Iterative methods iterative scheme Lipschitzian Mathematical analysis Minimization problem Operators (mathematics) quasi-pseudocontractive mappings |
Title | Iterative algorithm with self-adaptive step size for approximating the common solution of variational inequality and fixed point problems |
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