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pro vyhledávání: '"Alonso, Juan P"'
Krylov subspace methods are extensively used in scientific computing to solve large-scale linear systems. However, the performance of these iterative Krylov solvers on modern supercomputers is limited by expensive communication costs. The $s$-step st
Externí odkaz:
http://arxiv.org/abs/2303.08953
Publikováno v:
J. Phys.: Condens. Matter 35 (2023) 305802
We study the magnetic phase diagram of an ensemble of dipolar hard spheres (DHS) with or without uniaxial anisotropy and frozen in position on a disordered structure by tempered Monte Carlo simulations. The crucial point is to consider an anisotropic
Externí odkaz:
http://arxiv.org/abs/2211.11268
Autor:
Alonso, Juan Pablo
Publikováno v:
Doxa, Iss 41, p 63 (2018)
En este trabajo desarrollaré algunas ideas tendentes a elucidar el modo en que los juristas justifican la validez de principios implícitos. Sintetizando, intentaré responder a preguntas del tipo ¿cuál es la explicación lógica o teórica respec
Externí odkaz:
https://doaj.org/article/b1513f278a844cc39ec9f9281eb52d0b
Bayesian additive regression trees (BART) is a non-parametric method to approximate functions. It is a black-box method based on the sum of many trees where priors are used to regularize inference, mainly by restricting trees' learning capacity so th
Externí odkaz:
http://arxiv.org/abs/2206.03619
W. Goldman and V. Turaev defined a Lie bialgebra structure on the $\mathbb Z$-module generated by free homotopy classes of loops of an oriented surface (i.e. the conjugacy classes of its fundamental group). We develop a generalization of this constru
Externí odkaz:
http://arxiv.org/abs/2203.02037
Autor:
Russier, Vincent, Alonso, Juan-Jose
The magnetic phase diagram at zero external field of an ensemble of dipoles with uniaxial anisotropy on a FCC lattice has been investigated from tempered Monte Carlo simulations. The uniaxial anisotropy is characterized by a random distribution of ea
Externí odkaz:
http://arxiv.org/abs/2111.07709
An equation has been derived to predict unit cell volume of high entropy alloys, HEA, by two different methods. Both treatments led to the same equation. For cubic HEA lattice parameters were calculated. The predicted lattice parameters were compared
Externí odkaz:
http://arxiv.org/abs/2104.14541
Autor:
Alonso, Juan M.
Many concrete problems are formulated in terms of a finite set of points in $R^n$ which, via the ambient Euclidean metric, becomes a finite metric space. To obtain information from such a space, it is often useful to associate a graph to it, and do m
Externí odkaz:
http://arxiv.org/abs/2103.16471
Autor:
Alonso, Juan, Erkut, Cumhur
Machine learning based singing voice models require large datasets and lengthy training times. In this work we present a lightweight architecture, based on the Differentiable Digital Signal Processing (DDSP) library, that is able to output song-like
Externí odkaz:
http://arxiv.org/abs/2103.07197
Publikováno v:
AIAA Scitech 2021 Forum
Development of highly scalable and robust algorithms for large-scale CFD simulations has been identified as one of the key ingredients to achieve NASA's CFD Vision 2030 goals. In order to improve simulation capability and to effectively leverage new
Externí odkaz:
http://arxiv.org/abs/2101.01763