Lorenzo Pareschi
Orcid: 0000-0002-8706-6939
According to our database1,
Lorenzo Pareschi
authored at least 94 papers
between 2000 and 2024.
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Bibliography
2024
Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker-Planck Equations with Random Inputs.
Multiscale Model. Simul., March, 2024
CoRR, 2024
CoRR, 2024
2023
Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods.
Multiscale Model. Simul., September, 2023
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties.
J. Comput. Phys., April, 2023
Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes.
J. Comput. Phys., 2023
Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws.
CoRR, 2023
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data.
CoRR, 2023
Multiscale constitutive framework of 1D blood flow modeling: Asymptotic limits and numerical methods.
CoRR, 2023
Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy.
CoRR, 2023
2022
Moment Preserving Fourier-Galerkin Spectral Methods and Application to the Boltzmann Equation.
SIAM J. Numer. Anal., December, 2022
SIAM J. Optim., September, 2022
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties.
Networks Heterog. Media, 2022
On the Construction of Conservative Semi-Lagrangian IMEX Advection Schemes for Multiscale Time Dependent PDEs.
J. Sci. Comput., 2022
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs.
J. Comput. Phys., 2022
Entropy, 2022
Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations.
CoRR, 2022
Micro-macro stochastic Galerkin methods for nonlinear Fokker-Plank equations with random inputs.
CoRR, 2022
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread.
CoRR, 2022
A Consensus-Based Algorithm for Multi-Objective Optimization and Its Mean-Field Description.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods.
SIAM/ASA J. Uncertain. Quantification, 2021
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning.
J. Mach. Learn. Res., 2021
High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers.
J. Comput. Phys., 2021
Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model.
J. Comput. Phys., 2021
Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation.
CoRR, 2021
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty.
CoRR, 2021
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: application to the emergence of Covid-19 in Italy.
CoRR, 2021
Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences.
CoRR, 2021
On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation.
Appl. Math. Lett., 2021
2020
Implicit-Explicit Multistep Methods for Hyperbolic Systems With Multiscale Relaxation.
SIAM J. Sci. Comput., 2020
Networks Heterog. Media, 2020
Multiscale Variance Reduction Methods Based on Multiple Control Variates for Kinetic Equations with Uncertainties.
Multiscale Model. Simul., 2020
Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: Space-homogeneous case.
J. Comput. Phys., 2020
Modeling and simulating the spatial spread of an epidemic through multiscale kinetic transport equations.
CoRR, 2020
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit.
CoRR, 2020
Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods.
CoRR, 2020
An introduction to uncertainty quantification for kinetic equations and related problems.
CoRR, 2020
CoRR, 2020
Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning.
CoRR, 2020
High order semi-implicit multistep methods for time dependent partial differential equations.
CoRR, 2020
2019
J. Nonlinear Sci., 2019
Multi-scale control variate methods for uncertainty quantification in kinetic equations.
J. Comput. Phys., 2019
J. Comput. Phys., 2019
Linear multistep methods for optimal control problems and applications to hyperbolic relaxation systems.
Appl. Math. Comput., 2019
2018
Efficient Stochastic Asymptotic-Preserving Implicit-Explicit Methods for Transport Equations with Diffusive Scalings and Random Inputs.
SIAM J. Sci. Comput., 2018
Asymptotic-Preserving Monte Carlo Methods for Transport Equations in the Diffusive Limit.
SIAM J. Sci. Comput., 2018
A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs.
Multiscale Model. Simul., 2018
J. Sci. Comput., 2018
2017
SIAM J. Numer. Anal., 2017
A Unified IMEX Runge-Kutta Approach for Hyperbolic Systems with Multiscale Relaxation.
SIAM J. Numer. Anal., 2017
On the asymptotic properties of IMEX Runge-Kutta schemes for hyperbolic balance laws.
J. Comput. Appl. Math., 2017
2016
CoRR, 2016
2015
Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy.
J. Sci. Comput., 2015
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015
2014
Exponential Runge-Kutta for the inhomogeneous Boltzmann equations with high order of accuracy.
J. Comput. Phys., 2014
2013
Implicit-Explicit Runge-Kutta Schemes for Hyperbolic Systems and Kinetic Equations in the Diffusion Limit.
SIAM J. Sci. Comput., 2013
Implicit-Explicit Runge-Kutta Schemes for Numerical Discretization of Optimal Control Problems.
SIAM J. Numer. Anal., 2013
Asymptotic Preserving Implicit-Explicit Runge-Kutta Methods for Nonlinear Kinetic Equations.
SIAM J. Numer. Anal., 2013
Multiscale Model. Simul., 2013
Modeling of self-organized systems interacting with a few individuals: From microscopic to macroscopic dynamics.
Appl. Math. Lett., 2013
2011
SIAM J. Numer. Anal., 2011
Proceedings of the System Modeling and Optimization, 2011
2010
SIAM J. Sci. Comput., 2010
2009
SIAM J. Sci. Comput., 2009
2008
Lattice-Boltzmann type relaxation systems and high order relaxation schemes for the incompressible Navier-Stokes equations.
Math. Comput., 2008
2007
Networks Heterog. Media, 2007
2006
SIAM J. Sci. Comput., 2006
Appl. Math. Lett., 2006
2005
Numerische Mathematik, 2005
Implicit-Explicit Runge-Kutta Schemes and Applications to Hyperbolic Systems with Relaxation.
J. Sci. Comput., 2005
2004
Parallel integration of hydrodynamical approximations of the Boltzmann equation for rarefied gases on a cluster of computers.
J. Comput. Methods Sci. Eng., 2004
Convergence of a quadrature formula for the approximation of stress intensity factor for planar cracks.
Appl. Math. Comput., 2004
Proceedings of the Computational Science, 2004
2003
Spectral methods for the non cut-off Boltzmann equation and numerical grazing collision limit.
Numerische Mathematik, 2003
Appl. Math. Lett., 2003
2001
SIAM J. Sci. Comput., 2001
Central Differencing Based Numerical Schemes for Hyperbolic Conservation Laws with Relaxation Terms.
SIAM J. Numer. Anal., 2001
Monte Carlo Methods Appl., 2001
2000
Numerical Solution of the Boltzmann Equation I: Spectrally Accurate Approximation of the Collision Operator.
SIAM J. Numer. Anal., 2000
Numerical Schemes for Hyperbolic Systems of Conservation Laws with Stiff Diffusive Relaxation.
SIAM J. Numer. Anal., 2000
SIAM J. Numer. Anal., 2000