scispace - formally typeset
M

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.

Papers
More filters
Journal ArticleDOI

Advanced Algorithms and Common Solutions to Variational Inequalities

TL;DR: This paper aims to present advanced algorithms arising out of adding the inertial technical and shrinking projection terms to ordinary parallel and cyclic hybrid inertial sub-gradient extra-gradient algorithms (for short, PCHISE).
Journal ArticleDOI

Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces

TL;DR: In this article, the authors investigated properties of convergence of distances of -cyclic contractions on the union of the subsets of an abstract set defining probabilistic metric spaces and Menger metric spaces as well as the characterization of Cauchy sequences which converge to the best proximity points.
Journal ArticleDOI

Optimal coincidence point results in partially ordered non-Archimedean fuzzy metric spaces

TL;DR: The obtained results unify, extend, and generalize some comparable results in the existing literature on best proximal contractions in complete ordered non-Archimedean fuzzy metric space.
Journal ArticleDOI

New Fixed Point Theorems in Orthogonal F -Metric Spaces with Application to Fractional Differential Equation

TL;DR: The notion of orthogonal F -metric spaces is presented and some fixed and periodic point theorems for Orthogonal ⊥ Ω -contraction are proved and the existence and uniqueness of the solution of a nonlinear fractional differential equation are proved.
Journal ArticleDOI

Neural control for wave power plant during voltage dips

TL;DR: In this article, a neural control strategy is employed to coordinate the active crowbar, the air valve control and the back-to-back control for a doubly fed induction generator to improve the performance of the wave energy converter during voltage dips in the grid.