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Publication search results
found 110 matches
- 2024
- Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. J. Comput. Phys. 503: 112845 (2024) - Giulia Bertaglia, Lorenzo Pareschi, Russel E. Caflisch:
Gradient-Based Monte Carlo Methods for Relaxation Approximations of Hyperbolic Conservation Laws. J. Sci. Comput. 100(3): 60 (2024) - Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella:
Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker-Planck Equations with Random Inputs. Multiscale Model. Simul. 22(1): 527-560 (2024) - Lorenzo Pareschi, Mattia Zanella:
Reduced variance random batch methods for nonlocal PDEs. CoRR abs/2401.00493 (2024) - Lorenzo Pareschi:
Optimization by linear kinetic equations and mean-field Langevin dynamics. CoRR abs/2401.05553 (2024) - Tino Laidin, Lorenzo Pareschi:
Conservative polynomial approximations and applications to Fokker-Planck equations. CoRR abs/2402.06473 (2024) - Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi:
Instantaneous control strategies for magnetically confined fusion plasma. CoRR abs/2403.16254 (2024) - 2023
- Lorenzo Pareschi, Giuseppe Toscani:
The Kinetic Theory of Mutation Rates. Axioms 12(3): 265 (2023) - Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes. J. Comput. Phys. 486: 112130 (2023) - Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. J. Comput. Phys. 479: 112011 (2023) - Giulia Bertaglia, Lorenzo Pareschi:
Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods. Multiscale Model. Simul. 21(3): 1237-1267 (2023) - Giovanni Bonanno, Luca Zampieri, Giampiero Naletto, Lorenzo Paoletti, Giuseppe Romeo, Pietro Bruno, Alessandro Grillo, Gianfranco Occhipinti, Maria Cristina Timpanaro, Carmelo Gargano, Michele Fiori, Gabriele Rodeghiero, Giovanni Pareschi, Salvatore Scuderi, Gino Tosti:
Electronics and Detectors for the Stellar Intensity Interferometer of the ASTRI Mini-Array Telescopes. Sensors 23(24): 9840 (2023) - Giacomo Borghi, Michael Herty, Lorenzo Pareschi:
Constrained Consensus-Based Optimization. SIAM J. Optim. 33(1): 211-236 (2023) - Jonathan Franceschi, Lorenzo Pareschi, Elena Bellodi, Marco Gavanelli, Marco Bresadola:
Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy. CoRR abs/2302.01028 (2023) - Giulia Bertaglia, Lorenzo Pareschi:
Multiscale constitutive framework of 1D blood flow modeling: Asymptotic limits and numerical methods. CoRR abs/2302.09374 (2023) - Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. CoRR abs/2306.07701 (2023) - Giulia Bertaglia, Lorenzo Pareschi, Russel E. Caflisch:
Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws. CoRR abs/2308.02904 (2023) - 2022
- Emanuele Bernardi, Lorenzo Pareschi, Giuseppe Toscani, Mattia Zanella:
Effects of Vaccination Efficacy on Wealth Distribution in Kinetic Epidemic Models. Entropy 24(2): 216 (2022) - Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. J. Comput. Phys. 462: 111252 (2022) - Walter Boscheri, Maurizio Tavelli, Lorenzo Pareschi:
On the Construction of Conservative Semi-Lagrangian IMEX Advection Schemes for Multiscale Time Dependent PDEs. J. Sci. Comput. 90(3): 97 (2022) - Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. Networks Heterog. Media 17(3): 401-425 (2022) - Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen:
Anisotropic Diffusion in Consensus-Based Optimization on the Sphere. SIAM J. Optim. 32(3): 1984-2012 (2022) - Lorenzo Pareschi, Thomas Rey:
Moment Preserving Fourier-Galerkin Spectral Methods and Application to the Boltzmann Equation. SIAM J. Numer. Anal. 60(6): 3216-3240 (2022) - Giacomo Borghi, Michael Herty, Lorenzo Pareschi:
A Consensus-Based Algorithm for Multi-Objective Optimization and Its Mean-Field Description. CDC 2022: 4131-4136 - Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Locally Structure-Preserving div-curl operators for high order Discontinuous Galerkin schemes. CoRR abs/2206.08609 (2022) - Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi, Xueyu Zhu:
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread. CoRR abs/2206.12625 (2022) - Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella:
Micro-macro stochastic Galerkin methods for nonlinear Fokker-Plank equations with random inputs. CoRR abs/2207.06494 (2022) - Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. CoRR abs/2208.00692 (2022) - Manuel R. Izquierdo, Lorenzo Pareschi, Borja Miñano, Joan Massó, Carlos Palenzuela:
Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations. CoRR abs/2211.00027 (2022) - 2021
- Lorenzo Pareschi, Thomas Rey:
On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. Appl. Math. Lett. 120: 107187 (2021)
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