Zobrazeno 1 - 10
of 33 358
pro vyhledávání: '"Manzoni A."'
Autor:
Menara, Giuliamaria, Manzoni, Luca
In this paper tackle the problem of computing the ranks of certain eulerian magnitude homology groups of a graph G. First, we analyze the computational cost of our problem and prove that it is #W[1]-complete. Then we develop the first diagonal algori
Externí odkaz:
http://arxiv.org/abs/2410.10376
The superradiance instability of rotating black holes leads to the formation of an ultralight boson cloud with distinctive observational signatures, making black holes an effective probe of ultralight dark matter. However, around black holes in a bin
Externí odkaz:
http://arxiv.org/abs/2409.14159
Autor:
Timmer, Daniel, Lünemann, Daniel C., Gittinger, Moritz, De Sio, Antonietta, Manzoni, Cristian, Cerullo, Giulio, Lienau, Christoph
Selecting distinct quantum pathways in two-dimensional electronic spectroscopy (2DES) can give particularly deep insights into coherent and incoherent interactions and quantum dynamics in various materials. This includes isolating rephasing and non-r
Externí odkaz:
http://arxiv.org/abs/2409.11959
Autor:
Pathi, Imdad Mahmud, Soo, John Y. H., Wee, Mao Jie, Zakaria, Sazatul Nadhilah, Ismail, Nur Azwin, Baugh, Carlton M., Manzoni, Giorgio, Gaztanaga, Enrique, Castander, Francisco J., Eriksen, Martin, Carretero, Jorge, Fernandez, Enrique, Garcia-Bellido, Juan, Miquel, Ramon, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Sevilla-Noarbe, Ignacio, Tallada-Crespí, Pau
ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift estimation decades ago. We enhanced the algorithm by introducing new acti
Externí odkaz:
http://arxiv.org/abs/2409.09981
Steering a system towards a desired target in a very short amount of time is challenging from a computational standpoint. Indeed, the intrinsically iterative nature of optimal control problems requires multiple simulations of the physical system to b
Externí odkaz:
http://arxiv.org/abs/2409.05709
In this work, we present the novel mathematical framework of latent dynamics models (LDMs) for reduced order modeling of parameterized nonlinear time-dependent PDEs. Our framework casts this latter task as a nonlinear dimensionality reduction problem
Externí odkaz:
http://arxiv.org/abs/2408.15183
In this paper we describe a numerical framework for achieving passive thermal cloaking of arbitrary shapes in both static and transient regimes. The design strategy is cast as the solution of an optimal control problem (OCP) for the heat equation whe
Externí odkaz:
http://arxiv.org/abs/2406.05905
Autor:
Conti, Paolo, Kneifl, Jonas, Manzoni, Andrea, Frangi, Attilio, Fehr, Jörg, Brunton, Steven L., Kutz, J. Nathan
The simulation of many complex phenomena in engineering and science requires solving expensive, high-dimensional systems of partial differential equations (PDEs). To circumvent this, reduced-order models (ROMs) have been developed to speed up computa
Externí odkaz:
http://arxiv.org/abs/2405.20905
Autor:
Csizi, Benjamin, Tortorelli, Luca, Siudek, Małgorzata, Gruen, Daniel, Renard, Pablo, Tallada-Crespí, Pau, Sanchez, Eusebio, Miquel, Ramon, Padilla, Cristobal, García-Bellido, Juan, Gaztañaga, Enrique, Casas, Ricard, Serrano, Santiago, De Vicente, Juan, Fernandez, Enrique, Eriksen, Martin, Manzoni, Giorgio, Baugh, Carlton M., Carretero, Jorge, Castander, Francisco J.
Publikováno v:
A&A 689, A37 (2024)
Narrowband galaxy surveys have recently gained interest as a promising method to achieve the necessary accuracy on the photometric redshift estimate of individual galaxies for stage-IV cosmological surveys. One key advantage is the ability to provide
Externí odkaz:
http://arxiv.org/abs/2405.20385
Digital twins require computationally-efficient reduced-order models (ROMs) that can accurately describe complex dynamics of physical assets. However, constructing ROMs from noisy high-dimensional data is challenging. In this work, we propose a data-
Externí odkaz:
http://arxiv.org/abs/2405.19785