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Manuel De la Sen

Researcher at University of the Basque Country

Publications -  306
Citations -  2249

Manuel De la Sen is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Fixed point & Metric space. The author has an hindex of 18, co-authored 306 publications receiving 1514 citations. Previous affiliations of Manuel De la Sen include Shahrekord University & Siirt University.

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Best proximity point results and application to a system of integro-differential equations

TL;DR: In this article, the best proximity pair (point) and measure of noncompactness were used to solve integro-differential equations in terms of Caputo-Fabrizio calculus.
Proceedings ArticleDOI

Adaptive discrete-time inverse model control using generalized holds

TL;DR: An adaptive digital implementation of an inverse model based control scheme for a system with parametric uncertainty is proposed using Generalized Sampling and Hold Functions and the stability and asymptotic properties of the general adaptive scheme are established.
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Viscosity Approximation Methods for * −Nonexpansive Multi-Valued Mappings in Convex Metric Spaces

TL;DR: Convergence theorems for viscosity approximation processes involving * −nonexpansive multi-valued mappings in complete convex metric spaces are proved.
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Stability and the matrix Lyapunov equation for differential systems with point, distributed and/or mixed point-distributed delays

TL;DR: In this article, sufficient conditions for stability of linear and time-invariant delay differential systems including their various usual sub-classes (i.e., point, distributed and mixed point-distributed delay systems) are obtained in terms of the Schur's complement of operators and the frequency domain Lyapunov equation.
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Fixed Point Approximation for a Class of Generalized Nonexpansive Mappings in Hadamard Spaces

TL;DR: In this paper, the authors established strong and convergence results for mappings satisfying condition through a newly introduced iterative process called JA iteration process, where a nonlinear Hadamard space is used the ground space for establishing their main results.