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Lorenzo Pareschi
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2020 – today
- 2024
- [j67]Andrea Medaglia
, Lorenzo Pareschi
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. J. Comput. Phys. 503: 112845 (2024) - [j66]Giulia Bertaglia
Gradient-Based Monte Carlo Methods for Relaxation Approximations of Hyperbolic Conservation Laws. J. Sci. Comput. 100(3): 60 (2024) - [j65]Giacomo Dimarco
Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker-Planck Equations with Random Inputs. Multiscale Model. Simul. 22(1): 527-560 (2024) - [i38]Lorenzo Pareschi, Mattia Zanella:
Reduced variance random batch methods for nonlocal PDEs. CoRR abs/2401.00493 (2024) - [i37]Lorenzo Pareschi:
Optimization by linear kinetic equations and mean-field Langevin dynamics. CoRR abs/2401.05553 (2024) - [i36]Tino Laidin, Lorenzo Pareschi:
Conservative polynomial approximations and applications to Fokker-Planck equations. CoRR abs/2402.06473 (2024) - [i35]Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi:
Instantaneous control strategies for magnetically confined fusion plasma. CoRR abs/2403.16254 (2024) - 2023
- [j64]Lorenzo Pareschi
The Kinetic Theory of Mutation Rates. Axioms 12(3): 265 (2023) - [j63]Andrea Medaglia, Lorenzo Pareschi
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. J. Comput. Phys. 479: 112011 (2023) - [j62]Walter Boscheri
Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes. J. Comput. Phys. 486: 112130 (2023) - [j61]Giulia Bertaglia
Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods. Multiscale Model. Simul. 21(3): 1237-1267 (2023) - [j60]Giacomo Borghi
Constrained Consensus-Based Optimization. SIAM J. Optim. 33(1): 211-236 (2023) - [i34]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) - [i33]Giulia Bertaglia, Lorenzo Pareschi:
Multiscale constitutive framework of 1D blood flow modeling: Asymptotic limits and numerical methods. CoRR abs/2302.09374 (2023) - [i32]Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. CoRR abs/2306.07701 (2023) - [i31]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
- [j59]Emanuele Bernardi, Lorenzo Pareschi
Effects of Vaccination Efficacy on Wealth Distribution in Kinetic Epidemic Models. Entropy 24(2): 216 (2022) - [j58]Liu Liu, Lorenzo Pareschi
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. J. Comput. Phys. 462: 111252 (2022) - [j57]Walter Boscheri
On the Construction of Conservative Semi-Lagrangian IMEX Advection Schemes for Multiscale Time Dependent PDEs. J. Sci. Comput. 90(3): 97 (2022) - [j56]Giulia Bertaglia
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. Networks Heterog. Media 17(3): 401-425 (2022) - [j55]Massimo Fornasier, Hui Huang
Anisotropic Diffusion in Consensus-Based Optimization on the Sphere. SIAM J. Optim. 32(3): 1984-2012 (2022) - [j54]Lorenzo Pareschi
Moment Preserving Fourier-Galerkin Spectral Methods and Application to the Boltzmann Equation. SIAM J. Numer. Anal. 60(6): 3216-3240 (2022) - [c4]Giacomo Borghi
A Consensus-Based Algorithm for Multi-Objective Optimization and Its Mean-Field Description. CDC 2022: 4131-4136 - [i30]Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Locally Structure-Preserving div-curl operators for high order Discontinuous Galerkin schemes. CoRR abs/2206.08609 (2022) - [i29]Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi, Xueyu Zhu:
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread. CoRR abs/2206.12625 (2022) - [i28]Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella
Micro-macro stochastic Galerkin methods for nonlinear Fokker-Plank equations with random inputs. CoRR abs/2207.06494 (2022) - [i27]Andrea Medaglia
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. CoRR abs/2208.00692 (2022) - [i26]Manuel R. Izquierdo
Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations. CoRR abs/2211.00027 (2022) - 2021
- [j53]Lorenzo Pareschi, Thomas Rey
On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. Appl. Math. Lett. 120: 107187 (2021) - [j52]Giulia Bertaglia
Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. J. Comput. Phys. 430: 110102 (2021) - [j51]Walter Boscheri, Lorenzo Pareschi:
High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. J. Comput. Phys. 434: 110206 (2021) - [j50]Massimo Fornasier, Lorenzo Pareschi, Hui Huang, Philippe Sünnen:
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning. J. Mach. Learn. Res. 22: 237:1-237:55 (2021) - [j49]Jingwei Hu, Lorenzo Pareschi, Yubo Wang:
Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods. SIAM/ASA J. Uncertain. Quantification 9(2): 650-680 (2021) - [i25]Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella:
Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences. CoRR abs/2102.02589 (2021) - [i24]Lorenzo Pareschi, Thomas Rey
Moment preserving Fourier-Galerkin spectral methods and application to the Boltzmann equation. CoRR abs/2105.13158 (2021) - [i23]Giulia Bertaglia, Lorenzo Pareschi:
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: application to the emergence of Covid-19 in Italy. CoRR abs/2105.14258 (2021) - [i22]Giulia Bertaglia, Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty. CoRR abs/2106.07262 (2021) - [i21]Walter Boscheri, Maurizio Tavelli, Lorenzo Pareschi:
On the construction of conservative semi-Lagrangian IMEX advection schemes for multiscale time dependent PDEs. CoRR abs/2107.06956 (2021) - [i20]Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. CoRR abs/2107.09250 (2021) - [i19]Sara Grassi, Hui Huang, Lorenzo Pareschi, Jinniao Qiu:
Mean-field particle swarm optimization. CoRR abs/2108.00393 (2021) - [i18]Jonathan Franceschi, Lorenzo Pareschi:
Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation. CoRR abs/2109.14087 (2021) - [i17]Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. CoRR abs/2110.14579 (2021) - [i16]Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Multi-fidelity methods for uncertainty propagation in kinetic equations. CoRR abs/2112.00932 (2021) - 2020
- [j48]Lorenzo Pareschi
Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: Space-homogeneous case. J. Comput. Phys. 423: 109822 (2020) - [j47]Giacomo Dimarco
Multiscale Variance Reduction Methods Based on Multiple Control Variates for Kinetic Equations with Uncertainties. Multiscale Model. Simul. 18(1): 351-382 (2020) - [j46]José Antonio Carrillo
Special issue on mathematical models for collective dynamics. Networks Heterog. Media 15(3) (2020) - [j45]Michael Herty, Lorenzo Pareschi, Giuseppe Visconti:
Mean field models for large data-clustering problems. Networks Heterog. Media 15(3): 463-487 (2020) - [j44]Giacomo Albi
Implicit-Explicit Multistep Methods for Hyperbolic Systems With Multiscale Relaxation. SIAM J. Sci. Comput. 42(4): A2402-A2435 (2020) - [i15]Giacomo Albi, Lorenzo Pareschi:
High order semi-implicit multistep methods for time dependent partial differential equations. CoRR abs/2001.03974 (2020) - [i14]Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen:
Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning. CoRR abs/2001.11988 (2020) - [i13]Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen:
Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit. CoRR abs/2001.11994 (2020) - [i12]Lorenzo Pareschi, Mattia Zanella:
Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case. CoRR abs/2003.06716 (2020) - [i11]Lorenzo Pareschi:
An introduction to uncertainty quantification for kinetic equations and related problems. CoRR abs/2004.05072 (2020) - [i10]Jingwei Hu, Lorenzo Pareschi, Yubo Wang:
Uncertainty quantification for the BGK model of the Boltzmann equation using multilevel variance reduced Monte Carlo methods. CoRR abs/2004.07638 (2020) - [i9]Giulia Bertaglia, Valerio Caleffi, Lorenzo Pareschi, Alessandro Valiani:
Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. CoRR abs/2007.01907 (2020) - [i8]Giulia Bertaglia, Lorenzo Pareschi:
Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods. CoRR abs/2007.04019 (2020) - [i7]Walter Boscheri, Lorenzo Pareschi:
High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. CoRR abs/2008.01789 (2020) - [i6]Lorenzo Pareschi, Thomas Rey
On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. CoRR abs/2011.05811 (2020) - [i5]Sara Grassi, Lorenzo Pareschi:
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit. CoRR abs/2012.05613 (2020) - [i4]Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Modeling and simulating the spatial spread of an epidemic through multiscale kinetic transport equations. CoRR abs/2012.10101 (2020)
2010 – 2019
- 2019
- [j43]Giacomo Albi
Linear multistep methods for optimal control problems and applications to hyperbolic relaxation systems. Appl. Math. Comput. 354: 460-477 (2019) - [j42]José A. Carrillo
Structure preserving schemes for the continuum Kuramoto model: Phase transitions. J. Comput. Phys. 376: 365-389 (2019) - [j41]Giacomo Dimarco
Multi-scale control variate methods for uncertainty quantification in kinetic equations. J. Comput. Phys. 388: 63-89 (2019) - [j40]Lorenzo Pareschi
Hydrodynamic Models of Preference Formation in Multi-agent Societies. J. Nonlinear Sci. 29(6): 2761-2796 (2019) - [i3]Lorenzo Pareschi, Michael Herty, Giuseppe Visconti:
Mean field models for large data-clustering problems. CoRR abs/1907.03585 (2019) - 2018
- [j39]Lorenzo Pareschi
Structure Preserving Schemes for Nonlinear Fokker-Planck Equations and Applications. J. Sci. Comput. 74(3): 1575-1600 (2018) - [j38]Shi Jin, Hanqing Lu, Lorenzo Pareschi
A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs. Multiscale Model. Simul. 16(4): 1884-1915 (2018) - [j37]Giacomo Dimarco
Asymptotic-Preserving Monte Carlo Methods for Transport Equations in the Diffusive Limit. SIAM J. Sci. Comput. 40(1) (2018) - [j36]Shi Jin, Hanqing Lu, Lorenzo Pareschi
Efficient Stochastic Asymptotic-Preserving Implicit-Explicit Methods for Transport Equations with Diffusive Scalings and Random Inputs. SIAM J. Sci. Comput. 40(2) (2018) - 2017
- [j35]Sebastiano Boscarino
On the asymptotic properties of IMEX Runge-Kutta schemes for hyperbolic balance laws. J. Comput. Appl. Math. 316: 60-73 (2017) - [j34]Giacomo Dimarco
Implicit-Explicit Linear Multistep Methods for Stiff Kinetic Equations. SIAM J. Numer. Anal. 55(2): 664-690 (2017) - [j33]Sebastiano Boscarino
A Unified IMEX Runge-Kutta Approach for Hyperbolic Systems with Multiscale Relaxation. SIAM J. Numer. Anal. 55(4): 2085-2109 (2017) - 2016
- [i2]Giacomo Albi, Lorenzo Pareschi, Mattia Zanella:
Opinion dynamics over complex networks: kinetic modeling and numerical methods. CoRR abs/1604.00421 (2016) - 2015
- [j32]Jingwei Hu, Qin Li
Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy. J. Sci. Comput. 62(2): 555-574 (2015) - [j31]Michael Herty, Lorenzo Pareschi, Sonja Steffensen:
Mean-field control and Riccati equations. Networks Heterog. Media 10(3): 699-715 (2015) - [c3]Giacomo Albi
On the Optimal Control of Opinion Dynamics on Evolving Networks. System Modelling and Optimization 2015: 58-67 - 2014
- [j30]Giacomo Dimarco
Numerical methods for kinetic equations. Acta Numer. 23: 369-520 (2014) - [j29]Qin Li
Exponential Runge-Kutta for the inhomogeneous Boltzmann equations with high order of accuracy. J. Comput. Phys. 259: 402-420 (2014) - 2013
- [j28]Giacomo Albi
Modeling of self-organized systems interacting with a few individuals: From microscopic to macroscopic dynamics. Appl. Math. Lett. 26(4): 397-401 (2013) - [j27]Giacomo Albi
Binary Interaction Algorithms for the Simulation of Flocking and Swarming Dynamics. Multiscale Model. Simul. 11(1): 1-29 (2013) - [j26]Giacomo Dimarco
Asymptotic Preserving Implicit-Explicit Runge-Kutta Methods for Nonlinear Kinetic Equations. SIAM J. Numer. Anal. 51(2): 1064-1087 (2013) - [j25]Michael Herty, Lorenzo Pareschi
Implicit-Explicit Runge-Kutta Schemes for Numerical Discretization of Optimal Control Problems. SIAM J. Numer. Anal. 51(4): 1875-1899 (2013) - [j24]Sebastiano Boscarino
Implicit-Explicit Runge-Kutta Schemes for Hyperbolic Systems and Kinetic Equations in the Diffusion Limit. SIAM J. Sci. Comput. 35(1) (2013) - 2012
- [i1]Giacomo Albi, Lorenzo Pareschi:
Modeling self-organized systems interacting with few individuals: from microscopic to macroscopic dynamics. CoRR abs/1210.1172 (2012) - 2011
- [j23]Giacomo Dimarco
Exponential Runge-Kutta Methods for Stiff Kinetic Equations. SIAM J. Numer. Anal. 49(5): 2057-2077 (2011) - [c2]Sonja Steffensen, Michael Herty, Lorenzo Pareschi
Numerical Methods for the Optimal Control of Scalar Conservation Laws. System Modelling and Optimization 2011: 136-144 - 2010
- [j22]Giacomo Dimarco
Fluid Solver Independent Hybrid Methods for Multiscale Kinetic Equations. SIAM J. Sci. Comput. 32(2): 603-634 (2010)
2000 – 2009
- 2009
- [j21]Stefano Trazzi, Lorenzo Pareschi
Adaptive and Recursive Time Relaxed Monte Carlo Methods for Rarefied Gas Dynamics. SIAM J. Sci. Comput. 31(2): 1379-1398 (2009) - 2008
- [j20]Giacomo Dimarco
Hybrid Multiscale Methods II. Kinetic Equations. Multiscale Model. Simul. 6(4): 1169-1197 (2008) - [j19]Mapundi K. Banda
Lattice-Boltzmann type relaxation systems and high order relaxation schemes for the incompressible Navier-Stokes equations. Math. Comput. 77(262): 943-965 (2008) - 2007
- [j18]Michael Herty, Lorenzo Pareschi
Enskog-like discrete velocity models for vehicular traffic flow. Networks Heterog. Media 2(3): 481-496 (2007) - 2006
- [j17]Stéphane Brull, Lorenzo Pareschi
Dissipative hydrodynamic models for the diffusion of impurities in a gas. Appl. Math. Lett. 19(6): 516-521 (2006) - [j16]Clément Mouhot, Lorenzo Pareschi
Fast algorithms for computing the Boltzmann collision operator. Math. Comput. 75(256): 1833-1852 (2006) - [j15]Francis Filbet
Solving the Boltzmann Equation in N log2N. SIAM J. Sci. Comput. 28(3): 1029-1053 (2006) - [j14]Michael Herty, Lorenzo Pareschi
Discrete-Velocity Models and Relaxation Schemes for Traffic Flows. SIAM J. Sci. Comput. 28(4): 1582-1596 (2006) - 2005
- [j13]Lorenzo Pareschi
Implicit-Explicit Runge-Kutta Schemes and Applications to Hyperbolic Systems with Relaxation. J. Sci. Comput. 25(1-2): 129-155 (2005) - [j12]Peter A. Markowich, Lorenzo Pareschi
Fast conservative and entropic numerical methods for the Boson Boltzmann equation. Numerische Mathematik 99(3): 509-532 (2005) - [j11]Lorenzo Pareschi
Central Runge-Kutta Schemes for Conservation Laws. SIAM J. Sci. Comput. 26(3): 979-999 (2005) - 2004
- [j10]Oscar Ascenzi, Lorenzo Pareschi
Convergence of a quadrature formula for the approximation of stress intensity factor for planar cracks. Appl. Math. Comput. 158(3): 597-617 (2004) - [j9]José Miguel Mantas Ruiz
Parallel integration of hydrodynamical approximations of the Boltzmann equation for rarefied gases on a cluster of computers. J. Comput. Methods Sci. Eng. 4(1-2): 33-41 (2004) - [c1]Lorenzo Pareschi, Mohammed Seaïd
A New Monte Carlo Approach for Conservation Laws and Relaxation Systems. International Conference on Computational Science 2004: 276-283 - 2003
- [j8]Axel Klar
Uniformly accurate schemes for relaxation approximations to fluid dynamic equations. Appl. Math. Lett. 16(7): 1123-1127 (2003) - [j7]Lorenzo Pareschi
Spectral methods for the non cut-off Boltzmann equation and numerical grazing collision limit. Numerische Mathematik 93(3): 527-548 (2003) - 2001
- [j6]Lorenzo Pareschi, Bernt Wennberg:
A recursive Monte Carlo method for the Boltzmann equation in the Maxwellian case. Monte Carlo Methods Appl. 7(3-4): 349-358 (2001) - [j5]Lorenzo Pareschi
Central Differencing Based Numerical Schemes for Hyperbolic Conservation Laws with Relaxation Terms. SIAM J. Numer. Anal. 39(4): 1395-1417 (2001) - [j4]Lorenzo Pareschi
Time Relaxed Monte Carlo Methods for the Boltzmann Equation. SIAM J. Sci. Comput. 23(4): 1253-1273 (2001) - 2000
- [j3]Lorenzo Pareschi
Numerical Solution of the Boltzmann Equation I: Spectrally Accurate Approximation of the Collision Operator. SIAM J. Numer. Anal. 37(4): 1217-1245 (2000) - [j2]Giovanni Naldi
Numerical Schemes for Hyperbolic Systems of Conservation Laws with Stiff Diffusive Relaxation. SIAM J. Numer. Anal. 37(4): 1246-1270 (2000) - [j1]Shi Jin, Lorenzo Pareschi
Uniformly Accurate Diffusive Relaxation Schemes for Multiscale Transport Equations. SIAM J. Numer. Anal. 38(3): 913-936 (2000)
Coauthor Index
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