Zobrazeno 1 - 10
of 2 399
pro vyhledávání: '"Zertuche A"'
Autor:
Zertuche, Lorena Magaña, Stein, Leo C., Mitman, Keefe, Field, Scott E., Varma, Vijay, Boyle, Michael, Deppe, Nils, Kidder, Lawrence E., Moxon, Jordan, Pfeiffer, Harald P., Scheel, Mark A., Nelli, Kyle C., Throwe, William, Vu, Nils L.
Highly precise and robust waveform models are required as improvements in detector sensitivity enable us to test general relativity with more precision than ever before. In this work, we introduce a spin-aligned surrogate ringdown model. This ringdow
Externí odkaz:
http://arxiv.org/abs/2408.05300
Autor:
Berbel, Marina, Miravet-Tenés, Miquel, Chaudhary, Sushant Sharma, Albanesi, Simone, Cavaglià, Marco, Zertuche, Lorena Magaña, Tseneklidou, Dimitra, Zheng, Yanyan, Coughlin, Michael W., Toivonen, Andrew
Because of the electromagnetic radiation produced during the merger, compact binary coalescences with neutron stars may result in multi-messenger observations. In order to follow up on the gravitational-wave signal with electromagnetic telescopes, it
Externí odkaz:
http://arxiv.org/abs/2311.00045
This work derives upper bounds on the convergence rate of the moment-sum-of-squares hierarchy with correlative sparsity for global minimization of polynomials on compact basic semialgebraic sets. The main conclusion is that both sparse hierarchies ba
Externí odkaz:
http://arxiv.org/abs/2303.14824
This work addresses the occupation measure relaxation of calculus of variations problems, which is an infinite-dimensional linear programming relaxation amenable to numerical approximation by a hierarchy of semidefinite optimization problems. We addr
Externí odkaz:
http://arxiv.org/abs/2303.02434
Autor:
Luis G. Padilla-Rojas, MD, PhD, FIOTA, Johnatan Tamayo-Cosio, FTL, Darío E. Garín-Zertuche, MD, PhD, FIOTA, Christian A. Rojas-Herrera, MD, Linda Vallejo, MD, Jaime A. Leal, MD, José O. Soarez-Hungria, MD, PhD, Marcelo T. Caiero, MD, PhD, Horacio Tabares-Neyra, MD, Jorge L. González Roig, MD, Vincenzo Giordano, MD, PhD, FBCS
Publikováno v:
OTA International, Vol 7, Iss 5S (2024)
Abstract. Trauma is a leading cause of mortality and morbidity worldwide with high rates of disability in survivors. With improvements in care, rehabilitation of the trauma patient is a cornerstone to reducing sequelae. A lack of well-established hos
Externí odkaz:
https://doaj.org/article/4fc21c90c1294053840562268420cb6b
Autor:
Silvia Palomo-Piñón, Neftali Eduardo Antonio-Villa, Ricardo Alfonso Rangel-Zertuche, María Guadalupe Berumen-Lechuga, Julio Manuel Medina-Serrano, Luis Rey García-Cortés, Oliva Mejia-Rodríguez, María de la Luz León-Vázquez, Roxana del Socorro González-Dzib, Vidal José González-Coronado, Cleto Álvarez-Aguilar, José Ramón Paniagua-Sierra, Luis Alcocer, the Collaborative Group on Arterial Hypertension from the Mexican Institute of Social Security
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundArterial hypertension is highly prevalent in Mexico; nevertheless, there are limited insights regarding its management during the COVID-19 pandemic. Here, we estimate the prevalence of clinical and treatment profiles of arterial hypertensio
Externí odkaz:
https://doaj.org/article/55e78acac70449a7b92a908927040e89
Autor:
Korda, Milan, Rios-Zertuche, Rodolfo
Recent works have proposed linear programming relaxations of variational optimization problems subject to nonlinear PDE constraints based on the occupation measure formalism. The main appeal of these methods is the fact that they rely on convex optim
Externí odkaz:
http://arxiv.org/abs/2205.14132
Autor:
Wu, Yehan, Patuano, Agnès, Mashhoodi, Bardia, Lenzholzer, Sanda, Acred, Andy, Narvaez Zertuche, Laura
Publikováno v:
In Landscape and Urban Planning January 2025 253
Autor:
Kevin D. Martínez-García, Tonatzin Zertuche-Arias, Johanna Bernáldez-Sarabia, Enrique Iñiguez, Thomas Kretzchmar, Tanya Amanda Camacho-Villegas, Pavel H. Lugo-Fabres, Alexei F. Licea Navarro, Jorge Bravo-Madrigal, Ana B. Castro-Ceseña
Publikováno v:
ACS Omega, Vol 9, Iss 2, Pp 2350-2361 (2024)
Externí odkaz:
https://doaj.org/article/b5faa08a547e4a2e86b56e91b24015da
This paper introduces a new method to tackle the issue of the almost sure convergence of stochastic approximation algorithms defined from a differential inclusion. Under the assumption of slowly decaying step-sizes, we establish that the set of essen
Externí odkaz:
http://arxiv.org/abs/2112.05482