Zobrazeno 1 - 10
of 46 141
pro vyhledávání: '"A. Dávila"'
Let $G$ be a simple graph, and let $p$, $q$, and $r$ be non-negative integers. A \emph{$p$-independent} set in $G$ is a set of vertices $S \subseteq V(G)$ such that the subgraph induced by $S$ has maximum degree at most $p$. The \emph{$p$-independenc
Externí odkaz:
http://arxiv.org/abs/2409.03233
We provide the first construction of overhanging gravity water waves having the approximate form of a disk joined to a strip by a thin neck. The waves are solitary with constant vorticity, and exist when an appropriate dimensionless gravitational con
Externí odkaz:
http://arxiv.org/abs/2409.01182
Autor:
Ballesteros-Paredes, Javier, Zamora-Avilés, Manuel, Román-Zúñiga, Carlos, Palau, Aina, Cervantes-Sodi, Bernardo, Gutiérrez-Dávila, Karla, Camacho, Vianey, Jiménez-Andrade, Eric, Gazol, Adriana
We explain the large variety of star formation laws in terms of one single, simple law that can be inferred from the definition of the star formation rate and basic algebra. The resulting equation, $\SFR = \eff\ \Mcollapsing/\tauff$, although it has
Externí odkaz:
http://arxiv.org/abs/2408.13636
This paper deals with a new measure of the influence of each feature on the response variable in classification problems, accounting for potential dependencies among certain feature subsets. Within this framework, we consider a sample of individuals
Externí odkaz:
http://arxiv.org/abs/2408.02481
Autor:
Davila, Randy
Graph combinatorial optimization problems are widely applicable and notoriously difficult to compute; for example, consider the traveling salesman or facility location problems. In this paper, we explore the feasibility of using convolutional neural
Externí odkaz:
http://arxiv.org/abs/2407.07827
Autor:
Ramirez-Morales, A., Gutiérrez-Rodríguez, A., Cisneros-Pérez, T., Garcia-Tecocoatzi, H., Dávila-Rivera, A.
In this article, we explore machine learning techniques using support vector machines with two novel approaches: exotic and physics-informed support vector machines. Exotic support vector machines employ unconventional techniques such as genetic algo
Externí odkaz:
http://arxiv.org/abs/2407.03538
Autor:
Davila, Randy
\emph{TxGraffiti} is a machine learning and heuristic based artificial intelligence designed to automate the task of conjecturing in mathematics. Since its inception, TxGraffiti has generated many surprising conjectures leading to publication in resp
Externí odkaz:
http://arxiv.org/abs/2407.02731
Autor:
Davila, Randy R.
This paper proves a conjecture generated by the artificial intelligence conjecturing program called \emph{TxGraffiti}. More specifically, we show that if $G$ is a connected, cubic, and claw-free graph, then $Z(G) \le \gamma(G) + 2$, where $Z(G)$ and
Externí odkaz:
http://arxiv.org/abs/2406.19231
Autor:
Chazelas, Bruno, Ivanisenko, Yevgeniy, Lanotte, Audrey, Diaz, Pablo Santos, Genolet, Ludovic, Sordet, Michael, Hughes, Ian, Lovis, Christophe, Schmidt, Tobias M., Amate, Manuel, Castro, José Peñate, Moreno, Afrodisio Vega, Tenegi, Fabio, Simoes, Roberto, Hernández, Jonay I. González, Osorio, María Rosa Zapatero, Piqueras, Javier, Dávila, Tomás Belenguer, Ortega, Rocío Calvo, González, Roberto Varas, Fernández, Luis Miguel González, Amado, Pedro J., Kern, Jonathan, Dionies, Frank, Bauer, Svend-Marian, Önel, Hakan, Järvinen, Arto, Brynnel, Joar, Füßlein, Christine, Bellido, Olga, Weingrill, Jörg, Giannone, Domenico, Gaessler, Wolfgang, lehmitz, Michael, Kaminski, Adrian, Stilz, Ingo, Sigwarth, Michael, Marconi, Alessandro, Di Marcantonio, Paolo, Oliva, Ernesto, Coretti, Igor, Aliverti, Matteo, Pariani, Giorgio, Cabona, Lorenzo, Radaelli, Edouardo Maria Alberto, Scalera, Marcello, Balestera, Andrea
We present here the preliminary design of the RIZ module, one of the visible spectrographs of the ANDES instrument 1. It is a fiber-fed high-resolution, high-stability spectrograph. Its design follows the guidelines of successful predecessors such as
Externí odkaz:
http://arxiv.org/abs/2406.18317
Bet-hedging is a phenotype diversification strategy that combines a fast-growing vulnerable phenotype with a slow-growing resistant phenotype. In environments switching between favorable and unfavorable conditions, bet-hedging optimizes growth and re
Externí odkaz:
http://arxiv.org/abs/2406.11482