Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Jimenez-Pastor A"'
Autor:
Delgado, Rafael, Heredero, Rafael Hernández, Jiménez-Pastor, Antonio, Rueda, Sonia L., Zurro, Maria-Angeles
Almost commuting operators were introduced in 1985 by George Wilson to present generalizations the Korteweg-de Vries hierarchy, nowadays known as Gelfand-Dikey (GD) hierarchies. In this paper, we review the formal construction of the vector space of
Externí odkaz:
http://arxiv.org/abs/2405.05421
The Factorial Basis method, initially designed for quasi-triangular, shift-compatible factorial bases, provides solutions to linear recurrence equations in the form of definite-sums. This paper extends the Factorial Basis method to its q-analog, enab
Externí odkaz:
http://arxiv.org/abs/2402.04392
Autor:
Jiménez-Pastor, Antonio, Toller, Daniele, Tribastone, Mirco, Tschaikowski, Max, Vandin, Andrea
Positive systems naturally arise in situations where the model tracks physical quantities. Although the linear case is well understood, analysis and controller design for nonlinear positive systems remain challenging. Model reduction methods can help
Externí odkaz:
http://arxiv.org/abs/2312.08831
Autor:
Burgholzer, Lukas, Jiménez-Pastor, Antonio, Larsen, Kim G., Tribastone, Mirco, Tschaikowski, Max, Wille, Robert
Efficient methods for the simulation of quantum circuits on classic computers are crucial for their analysis due to the exponential growth of the problem size with the number of qubits. Here we study lumping methods based on bisimulation, an establis
Externí odkaz:
http://arxiv.org/abs/2308.09510
Autor:
Haridimos Kondylakis, Rocio Catalan, Sara Martinez Alabart, Caroline Barelle, Paschalis Bizopoulos, Maciej Bobowicz, Jonathan Bona, Dimitrios I. Fotiadis, Teresa Garcia, Ignacio Gomez, Ana Jimenez-Pastor, Giannis Karatzanis, Karim Lekadir, Magdalena Kogut-Czarkowska, Antonios Lalas, Kostas Marias, Luis Marti-Bonmati, Jose Munuera, Katerina Nikiforaki, Manon Pelissier, Fred Prior, Michael Rutherford, Laure Saint-Aubert, Zisis Sakellariou, Karine Seymour, Thomas Trouillard, Konstantinos Votis, Manolis Tsiknakis
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Artificial intelligence (AI) is revolutionizing the field of medical imaging, holding the potential to shift medicine from a reactive “sick-care” approach to a proactive focus on healthcare and prevention. The successful development of A
Externí odkaz:
https://doaj.org/article/f7384a2ef8654d549797dd949a48e4b4
Publikováno v:
Journal of Symbolic Computation 117 (2023) 15-50
The problem of finding a nonzero solution of a linear recurrence $Ly = 0$ with polynomial coefficients where $y$ has the form of a definite hypergeometric sum, related to the Inverse Creative Telescoping Problem of [14][Sec. 8], has now been open for
Externí odkaz:
http://arxiv.org/abs/2202.05550
Detailed dynamical systems models used in life sciences may include dozens or even hundreds of state variables. Models of large dimension are not only harder from the numerical perspective (e.g., for parameter estimation or simulation), but it is als
Externí odkaz:
http://arxiv.org/abs/2201.13373
Autor:
De la Puente, L., Cera, A., Igual, J.M., Álvarez, A., Jiménez-Pastor, F.J., Ferrio, J.P., Palacio, S.
Publikováno v:
In Environmental and Experimental Botany December 2024 228 Part B
Publikováno v:
In Dental Clinics of North America July 2024 68(3):467-474
Autor:
Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J. Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol, Luis Marti-Bonmati, Leonor Cerdá Alberich, Karine Seymour, Samuel Boucher, Esther Ciarrocchi, Lauren Fromont, Jordi Rambla, Alexander Harms, Andrea Gutierrez, Martijn P. A. Starmans, Fred Prior, Josep Ll. Gelpi, Karim Lekadir
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Artificial intelligence (AI) is transforming the field of medical imaging and has the potential to bring medicine from the era of ‘sick-care’ to the era of healthcare and prevention. The development of AI requires access to large, comple
Externí odkaz:
https://doaj.org/article/a9710911be714bd29067ed9733586a3c