Listar Artículos (Matemática Aplicada I) por agencia financiadora "Agencia Estatal de Investigación. España"
Mostrando ítems 1-19 de 19
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A posteriori variational multiscale methods for the 1D convection-diffusion equations
(Académie des Sciences, 2023-06-09)The present work is a continuation of a paper presented by the two first authors in the proceedings of the “Computational ...
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Central extensions of filiform Zinbiel algebras
(Taylor and Francis, 2020)In this paper we describe central extensions (up to isomorphism) of all complex null-filiform and filiform Zinbiel algebras. ...
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Complex cyclic Leibniz superalgebras
(Springer, 2020)Since Loday introduction of Leibniz algebras as a generalisation of Lie algebras, many results of the theory of Lie ...
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Cross products, automorphisms, and gradings
(Elsevier, 2021-02-01)The affine group schemes of automorphisms of the multilinear rfold cross products on finite-dimensional vectors spaces ...
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Direct transformation from Cartesian into geodetic coordinates on a triaxial ellipsoid
(ScienceDirect, 2020-09)This paper1 presents two new direct symbolic-numerical algorithms for the transformation of Cartesian co ordinates into ...
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Emotion recognition in talking-face videos using persistent entropy and neural networks
(American Institute of Mathematical Sciences (AIMS), 2022)The automatic recognition of a person’s emotional state has become a very active research field that involves scientists ...
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From octonions to composition superalgebras via tensor categories
(European Mathematical Society, 2024)The nontrivial unital composition superalgebras, of dimension 3 and 6, which exist only in characteristic 3, are obtained ...
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Fully parallel homological region adjacency graph via frontier recognition
(MDPI, 2023-05-31)Relating image contours and regions and their attributes according to connectivity based on incidence or adjacency is a ...
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Fuzzy logic programs as hypergraphs. Termination results
(Elsevier, 2022)Graph theory has been a useful tool for logic programming in many aspects. In this paper, we propose an equivalent ...
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Local Superderivations on Solvable Lie and Leibniz Superalgebras
(Springer, 2023-01-21)Throughout this paper, we show on one hand, that there are nilpotent and solvable Lie superalgebras with infinitely many ...
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On Leibniz Superalgebras with Even Part Corresponding to sl2
(Springer, 2021)In this paper we describe finite-dimensional complex Leibniz superalgebras whose even part is the simple Leibniz algebra ...
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On Naturally Graded Lie and Leibniz Superalgebras
(Springer, 2020)In general, the study of gradations has always represented a cornerstone in the study of non-associative algebras. In ...
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On Solvable Lie and Leibniz Superalgebras with maximal codimension of nilradical
(Cornell University, 2020)Along this paper we show that under certain conditions the method for describing of solvable Lie and Leibniz algebras ...
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On solvable Lie and Leibniz superalgebras with maximal codimension of nilradical
(Elsevier, 2022)Along this paper we show that under certain conditions the method for describing of solvable Lie and Leibniz algebras ...
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Optimizing a courtyard microclimate with adaptable shading and evaporative cooling in a hot mediterranean climate
(Elsevier, 2024-07-01)While in recent years significant improvements have been made in the thermal adaptation of indoor building environments, ...
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Optimizing the Simplicial-Map Neural Network Architecture
(MDPI, 2021)Simplicial-map neural networks are a recent neural network architecture induced by simplicial maps defined between ...
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Parallel homological calculus for 3D binary digital images
(Springer, 2024-01-29)Topological representations of binary digital images usually take into consideration different adjacency types between ...
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Residually solvable extensions of pro-nilpotent Leibniz superalgebras
(Elsevier, 2022)Throughout this paper we show that the method for describing finite-dimensional solvable Leibniz superalgebras with a ...
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Topology-based representative datasets to reduce neural network training resources
(Springer, 2022)One of the main drawbacks of the practical use of neural networks is the long time required in the training process. Such ...