Results 291 to 300 of about 6,000,123 (363)
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Relaxed inertial Tseng extragradient method for variational inequality and fixed point problems
Applicable Analysis, 2022In this paper, we introduce a new relaxed inertial Tseng extragradient method with self-adaptive step size for approximating common solutions of monotone variational inequality and fixed point problems of quasi-pseudo-contraction mappings in real Hilbert
E. C. Godwin +3 more
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On the Fixed Point Method and Bloch’s Theorem
Michigan Mathematical Journal, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimization, 2020
In this paper, we study a classical monotone and Lipschitz continuous variational inequality and fixed point problems defined on a level set of a convex function in the setting of Hilbert space.
T. O. Alakoya, L. Jolaoso, O. Mewomo
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In this paper, we study a classical monotone and Lipschitz continuous variational inequality and fixed point problems defined on a level set of a convex function in the setting of Hilbert space.
T. O. Alakoya, L. Jolaoso, O. Mewomo
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Fixed-Point Methods in Nonlinear Control
IMA Journal of Mathematical Control and Information, 1988Using the fixed point approach many different problems in control theory are studied. Several results concerning controllability, observability, parameter estimation and adaptive regulation for the so called ``semilinear'' dynamical systems are presented. All the results described make use of the various types of fixed point theorems. The importance of
Carmichael, N., Quinn, M. D.
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A modified fixed point iteration method for solving the system of absolute value equations
Optimization, 2020The fixed point iteration (FPI) method proposed by Ke [Appl Math Lett. 2020;99:105990] for solving the absolute value equations (AVE) with the form is interesting for its simplicity and efficiency. However, its convergence is only guaranteed for the case
D. Yu, Cairong Chen, Deren Han
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1998
In this somewhat technical section we look at the theory of fibrewise ENRs and ANRs. The results are mostly due to Dold [47]. Our restriction to base spaces which are ENRs allows us to simplify the exposition at several points. We begin with a discussion of some of the properties of ENRs and ANRs which we have already used in earlier sections.
Michael Charles Crabb +1 more
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In this somewhat technical section we look at the theory of fibrewise ENRs and ANRs. The results are mostly due to Dold [47]. Our restriction to base spaces which are ENRs allows us to simplify the exposition at several points. We begin with a discussion of some of the properties of ENRs and ANRs which we have already used in earlier sections.
Michael Charles Crabb +1 more
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A relaxed fixed point method for a mean curvature-based denoising model
Optim. Methods Softw., 2013Mean curvature-based energy minimization denoising model by Zhu and Chan offers one approach for restoring both smooth (no edges) and non-smooth (with edges) images.
Fenlin Yang, Ke Chen, Bo Yu, D. Fang
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IEEE transactions on industrial electronics (1982. Print), 2022
The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function.
Zhe Pan +4 more
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The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function.
Zhe Pan +4 more
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Extensions of the Fix-Point Method II: The Recursive Fix-Point Method
Économie appliquée, 1973Bodin Lennart. Extensions of the Fix-Point Method II: The Recursive Fix-Point Method. In: Économie appliquée, tome 26 n°2-4,1973. pp. 583-607.
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