Lorenzo Pareschi

126 papers Misc 1Journal 122Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust feedback control of collisional plasma dynamics in presence of uncertainties. J. Comput. Phys. Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2026	J	`jnl`	Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training. CoRR Giacomo Borghi, Hyesung Im, Lorenzo Pareschi
2025	J	`jnl`	A DSMC-PIC coupling method for the Vlasov-Maxwell-Landau system. CoRR Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
2025	J	`jnl`	A data augmentation strategy for deep neural networks with application to epidemic modelling. CoRR Muhammad Awais, Abu Sayfan Ali, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2025	J	`jnl`	Asymptotic preserving methods for the low mach limit in discrete velocity models approximating kinetic equations. CoRR Giacomo Dimarco, Axel Klar, Theresa Köfler, Lorenzo Pareschi
2025	J	`jnl`	Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy. CoRR Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2025	J	`jnl`	Conservative Polynomial Approximations and Applications to Fokker-Planck Equations. SIAM J. Sci. Comput. Tino Laidin, Lorenzo Pareschi
2025	J	`jnl`	Hierarchical dynamic domain decomposition for the multiscale Boltzmann equation. CoRR Domenico Caparello, Lorenzo Pareschi, Thomas Rey
2025	J	`jnl`	High-Order Asymptotic-Preserving IMEX schemes for an ES-BGK model for Gas Mixtures. CoRR Domenico Caparello, Lorenzo Pareschi, Thomas Rey
2025	J	`jnl`	Instantaneous control strategies for magnetically confined fusion plasma. J. Comput. Phys. Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2025	J	`jnl`	Micro-Macro Tensor Neural Surrogates for Uncertainty Quantification in Collisional Plasma. CoRR Wei Chen, Giacomo Dimarco, Lorenzo Pareschi
2025	J	`jnl`	Multi-Order Monte Carlo IMEX hierarchies for uncertainty quantification in multiscale hyperbolic systems. CoRR Giulia Bertaglia, Walter Boscheri, Lorenzo Pareschi
2025	J	`jnl`	Multi-fidelity and multi-level Monte Carlo methods for kinetic models of traffic flow. CoRR Elisa Iacomini, Lorenzo Pareschi
2025	J	`jnl`	Robust feedback control of collisional plasma dynamics in presence of uncertainties. CoRR Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2025	J	`jnl`	Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations. CoRR Wei Chen, Giacomo Dimarco, Lorenzo Pareschi
2025	J	`jnl`	Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis. CoRR Giacomo Borghi, Hyesung Im, Lorenzo Pareschi
2025	J	`jnl`	Wasserstein convergence rates for stochastic particle approximation of Boltzmann models. CoRR Giacomo Borghi, Lorenzo Pareschi
2024	J	`jnl`	Conservative polynomial approximations and applications to Fokker-Planck equations. CoRR Tino Laidin, Lorenzo Pareschi
2024	J	`jnl`	Gradient-Based Monte Carlo Methods for Relaxation Approximations of Hyperbolic Conservation Laws. J. Sci. Comput. Giulia Bertaglia, Lorenzo Pareschi, Russel E. Caflisch
2024	J	`jnl`	Instantaneous control strategies for magnetically confined fusion plasma. CoRR Giacomo Albi, Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
2024	J	`jnl`	Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker-Planck Equations with Random Inputs. Multiscale Model. Simul. Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella
2024	J	`jnl`	Optimization by linear kinetic equations and mean-field Langevin dynamics. CoRR Lorenzo Pareschi
2024	J	`jnl`	Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. J. Comput. Phys. Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
2024	J	`jnl`	Reduced variance random batch methods for nonlocal PDEs. CoRR Lorenzo Pareschi, Mattia Zanella
2023	J	`jnl`	Constrained Consensus-Based Optimization. SIAM J. Optim. Giacomo Borghi, Michael Herty, Lorenzo Pareschi
2023	J	`jnl`	Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws. CoRR Giulia Bertaglia, Lorenzo Pareschi, Russel E. Caflisch
2023	J	`jnl`	Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes. J. Comput. Phys. Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi
2023	J	`jnl`	Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy. CoRR Jonathan Franceschi, Lorenzo Pareschi, Elena Bellodi, Marco Gavanelli, Marco Bresadola
2023	J	`jnl`	Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods. Multiscale Model. Simul. Giulia Bertaglia, Lorenzo Pareschi
2023	J	`jnl`	Multiscale constitutive framework of 1D blood flow modeling: Asymptotic limits and numerical methods. CoRR Giulia Bertaglia, Lorenzo Pareschi
2023	J	`jnl`	Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data. CoRR Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
2023	J	`jnl`	Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. J. Comput. Phys. Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
2023	J	`jnl`	The Kinetic Theory of Mutation Rates. Axioms Lorenzo Pareschi, Giuseppe Toscani
2022	—	`conf`	A Consensus-Based Algorithm for Multi-Objective Optimization and Its Mean-Field Description. CDC Giacomo Borghi, Michael Herty, Lorenzo Pareschi
2022	J	`jnl`	A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. J. Comput. Phys. Liu Liu, Lorenzo Pareschi, Xueyu Zhu
2022	J	`jnl`	Anisotropic Diffusion in Consensus-Based Optimization on the Sphere. SIAM J. Optim. Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2022	J	`jnl`	Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread. CoRR Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi, Xueyu Zhu
2022	J	`jnl`	Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. Networks Heterog. Media Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu
2022	J	`jnl`	Effects of Vaccination Efficacy on Wealth Distribution in Kinetic Epidemic Models. Entropy Emanuele Bernardi, Lorenzo Pareschi, Giuseppe Toscani, Mattia Zanella
2022	J	`jnl`	Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations. CoRR Manuel R. Izquierdo, Lorenzo Pareschi, Borja Miñano, Joan Massó, Carlos Palenzuela
2022	J	`jnl`	Locally Structure-Preserving div-curl operators for high order Discontinuous Galerkin schemes. CoRR Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi
2022	J	`jnl`	Micro-macro stochastic Galerkin methods for nonlinear Fokker-Plank equations with random inputs. CoRR Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella
2022	J	`jnl`	Moment Preserving Fourier-Galerkin Spectral Methods and Application to the Boltzmann Equation. SIAM J. Numer. Anal. Lorenzo Pareschi, Thomas Rey
2022	J	`jnl`	On the Construction of Conservative Semi-Lagrangian IMEX Advection Schemes for Multiscale Time Dependent PDEs. J. Sci. Comput. Walter Boscheri, Maurizio Tavelli, Lorenzo Pareschi
2022	J	`jnl`	Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. CoRR Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
2021	J	`jnl`	A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. CoRR Liu Liu, Lorenzo Pareschi, Xueyu Zhu
2021	J	`jnl`	Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. CoRR Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu
2021	J	`jnl`	Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning. J. Mach. Learn. Res. Massimo Fornasier, Lorenzo Pareschi, Hui Huang, Philippe Sünnen
2021	J	`jnl`	High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. J. Comput. Phys. Walter Boscheri, Lorenzo Pareschi
2021	J	`jnl`	Hyperbolic compartmental models for epidemic spread on networks with uncertain data: application to the emergence of Covid-19 in Italy. CoRR Giulia Bertaglia, Lorenzo Pareschi
2021	J	`jnl`	Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences. CoRR Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella
2021	J	`jnl`	Mean-field particle swarm optimization. CoRR Sara Grassi, Hui Huang, Lorenzo Pareschi, Jinniao Qiu
2021	J	`jnl`	Moment preserving Fourier-Galerkin spectral methods and application to the Boltzmann equation. CoRR Lorenzo Pareschi, Thomas Rey
2021	J	`jnl`	Multi-fidelity methods for uncertainty propagation in kinetic equations. CoRR Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu
2021	J	`jnl`	On the construction of conservative semi-Lagrangian IMEX advection schemes for multiscale time dependent PDEs. CoRR Walter Boscheri, Maurizio Tavelli, Lorenzo Pareschi
2021	J	`jnl`	On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. Appl. Math. Lett. Lorenzo Pareschi, Thomas Rey
2021	J	`jnl`	Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty. CoRR Giulia Bertaglia, Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi
2021	J	`jnl`	Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation. CoRR Jonathan Franceschi, Lorenzo Pareschi
2021	J	`jnl`	Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods. SIAM/ASA J. Uncertain. Quantification Jingwei Hu, Lorenzo Pareschi, Yubo Wang
2021	J	`jnl`	Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. J. Comput. Phys. Giulia Bertaglia, Valerio Caleffi, Lorenzo Pareschi, Alessandro Valiani
2020	J	`jnl`	An introduction to uncertainty quantification for kinetic equations and related problems. CoRR Lorenzo Pareschi
2020	J	`jnl`	Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit. CoRR Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2020	J	`jnl`	Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning. CoRR Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2020	J	`jnl`	From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit. CoRR Sara Grassi, Lorenzo Pareschi
2020	J	`jnl`	High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. CoRR Walter Boscheri, Lorenzo Pareschi
2020	J	`jnl`	High order semi-implicit multistep methods for time dependent partial differential equations. CoRR Giacomo Albi, Lorenzo Pareschi
2020	J	`jnl`	Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods. CoRR Giulia Bertaglia, Lorenzo Pareschi
2020	J	`jnl`	Implicit-Explicit Multistep Methods for Hyperbolic Systems With Multiscale Relaxation. SIAM J. Sci. Comput. Giacomo Albi, Giacomo Dimarco, Lorenzo Pareschi
2020	J	`jnl`	Mean field models for large data-clustering problems. Networks Heterog. Media Michael Herty, Lorenzo Pareschi, Giuseppe Visconti
2020	J	`jnl`	Modeling and simulating the spatial spread of an epidemic through multiscale kinetic transport equations. CoRR Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi
2020	J	`jnl`	Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: Space-homogeneous case. J. Comput. Phys. Lorenzo Pareschi, Mattia Zanella
2020	J	`jnl`	Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case. CoRR Lorenzo Pareschi, Mattia Zanella
2020	J	`jnl`	Multiscale Variance Reduction Methods Based on Multiple Control Variates for Kinetic Equations with Uncertainties. Multiscale Model. Simul. Giacomo Dimarco, Lorenzo Pareschi
2020	J	`jnl`	On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. CoRR Lorenzo Pareschi, Thomas Rey
2020	J	`jnl`	Special issue on mathematical models for collective dynamics. Networks Heterog. Media José Antonio Carrillo, Seung-Yeal Ha, Lorenzo Pareschi, Benedetto Piccoli
2020	J	`jnl`	Uncertainty quantification for the BGK model of the Boltzmann equation using multilevel variance reduced Monte Carlo methods. CoRR Jingwei Hu, Lorenzo Pareschi, Yubo Wang
2020	J	`jnl`	Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. CoRR Giulia Bertaglia, Valerio Caleffi, Lorenzo Pareschi, Alessandro Valiani
2019	J	`jnl`	Hydrodynamic Models of Preference Formation in Multi-agent Societies. J. Nonlinear Sci. Lorenzo Pareschi, Giuseppe Toscani, Andrea Tosin, Mattia Zanella
2019	J	`jnl`	Linear multistep methods for optimal control problems and applications to hyperbolic relaxation systems. Appl. Math. Comput. Giacomo Albi, Michael Herty, Lorenzo Pareschi
2019	J	`jnl`	Mean field models for large data-clustering problems. CoRR Lorenzo Pareschi, Michael Herty, Giuseppe Visconti
2019	J	`jnl`	Multi-scale control variate methods for uncertainty quantification in kinetic equations. J. Comput. Phys. Giacomo Dimarco, Lorenzo Pareschi
2019	J	`jnl`	Structure preserving schemes for the continuum Kuramoto model: Phase transitions. J. Comput. Phys. José A. Carrillo, Young-Pil Choi, Lorenzo Pareschi
2018	J	`jnl`	A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs. Multiscale Model. Simul. Shi Jin, Hanqing Lu, Lorenzo Pareschi
2018	J	`jnl`	Asymptotic-Preserving Monte Carlo Methods for Transport Equations in the Diffusive Limit. SIAM J. Sci. Comput. Giacomo Dimarco, Lorenzo Pareschi, Giovanni Samaey
2018	J	`jnl`	Efficient Stochastic Asymptotic-Preserving Implicit-Explicit Methods for Transport Equations with Diffusive Scalings and Random Inputs. SIAM J. Sci. Comput. Shi Jin, Hanqing Lu, Lorenzo Pareschi
2018	J	`jnl`	Structure Preserving Schemes for Nonlinear Fokker-Planck Equations and Applications. J. Sci. Comput. Lorenzo Pareschi, Mattia Zanella
2017	J	`jnl`	A Unified IMEX Runge-Kutta Approach for Hyperbolic Systems with Multiscale Relaxation. SIAM J. Numer. Anal. Sebastiano Boscarino, Lorenzo Pareschi, Giovanni Russo
2017	J	`jnl`	Implicit-Explicit Linear Multistep Methods for Stiff Kinetic Equations. SIAM J. Numer. Anal. Giacomo Dimarco, Lorenzo Pareschi
2017	J	`jnl`	On the asymptotic properties of IMEX Runge-Kutta schemes for hyperbolic balance laws. J. Comput. Appl. Math. Sebastiano Boscarino, Lorenzo Pareschi
2016	J	`jnl`	Opinion dynamics over complex networks: kinetic modeling and numerical methods. CoRR Giacomo Albi, Lorenzo Pareschi, Mattia Zanella
2015	J	`jnl`	Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy. J. Sci. Comput. Jingwei Hu, Qin Li, Lorenzo Pareschi
2015	J	`jnl`	Mean-field control and Riccati equations. Networks Heterog. Media Michael Herty, Lorenzo Pareschi, Sonja Steffensen
2015	—	`conf`	On the Optimal Control of Opinion Dynamics on Evolving Networks. System Modelling and Optimization Giacomo Albi, Lorenzo Pareschi, Mattia Zanella
2014	J	`jnl`	Exponential Runge-Kutta for the inhomogeneous Boltzmann equations with high order of accuracy. J. Comput. Phys. Qin Li, Lorenzo Pareschi
2014	J	`jnl`	Numerical methods for kinetic equations. Acta Numer. Giacomo Dimarco, Lorenzo Pareschi
2013	J	`jnl`	Asymptotic Preserving Implicit-Explicit Runge-Kutta Methods for Nonlinear Kinetic Equations. SIAM J. Numer. Anal. Giacomo Dimarco, Lorenzo Pareschi
2013	J	`jnl`	Binary Interaction Algorithms for the Simulation of Flocking and Swarming Dynamics. Multiscale Model. Simul. Giacomo Albi, Lorenzo Pareschi
2013	J	`jnl`	Implicit-Explicit Runge-Kutta Schemes for Hyperbolic Systems and Kinetic Equations in the Diffusion Limit. SIAM J. Sci. Comput. Sebastiano Boscarino, Lorenzo Pareschi, Giovanni Russo
2013	J	`jnl`	Implicit-Explicit Runge-Kutta Schemes for Numerical Discretization of Optimal Control Problems. SIAM J. Numer. Anal. Michael Herty, Lorenzo Pareschi, Sonja Steffensen
2013	J	`jnl`	Modeling of self-organized systems interacting with a few individuals: From microscopic to macroscopic dynamics. Appl. Math. Lett. Giacomo Albi, Lorenzo Pareschi
2012	J	`jnl`	Modeling self-organized systems interacting with few individuals: from microscopic to macroscopic dynamics CoRR Giacomo Albi, Lorenzo Pareschi
2011	J	`jnl`	Exponential Runge-Kutta Methods for Stiff Kinetic Equations. SIAM J. Numer. Anal. Giacomo Dimarco, Lorenzo Pareschi
2011	—	`conf`	Numerical Methods for the Optimal Control of Scalar Conservation Laws. System Modelling and Optimization Sonja Steffensen, Michael Herty, Lorenzo Pareschi
2010	J	`jnl`	Fluid Solver Independent Hybrid Methods for Multiscale Kinetic Equations. SIAM J. Sci. Comput. Giacomo Dimarco, Lorenzo Pareschi
2009	J	`jnl`	Adaptive and Recursive Time Relaxed Monte Carlo Methods for Rarefied Gas Dynamics. SIAM J. Sci. Comput. Stefano Trazzi, Lorenzo Pareschi, Bernt Wennberg
2008	J	`jnl`	Hybrid Multiscale Methods II. Kinetic Equations. Multiscale Model. Simul. Giacomo Dimarco, Lorenzo Pareschi
2008	J	`jnl`	Lattice-Boltzmann type relaxation systems and high order relaxation schemes for the incompressible Navier-Stokes equations. Math. Comput. Mapundi K. Banda, Axel Klar, Lorenzo Pareschi, Mohammed Seaïd
2007	J	`jnl`	Enskog-like discrete velocity models for vehicular traffic flow. Networks Heterog. Media Michael Herty, Lorenzo Pareschi, Mohammed Seaïd
2006	J	`jnl`	Discrete-Velocity Models and Relaxation Schemes for Traffic Flows. SIAM J. Sci. Comput. Michael Herty, Lorenzo Pareschi, Mohammed Seaïd
2006	J	`jnl`	Dissipative hydrodynamic models for the diffusion of impurities in a gas. Appl. Math. Lett. Stéphane Brull, Lorenzo Pareschi
2006	J	`jnl`	Fast algorithms for computing the Boltzmann collision operator. Math. Comput. Clément Mouhot, Lorenzo Pareschi
2006	J	`jnl`	Solving the Boltzmann Equation in N log SIAM J. Sci. Comput. Francis Filbet, Clément Mouhot, Lorenzo Pareschi
2005	J	`jnl`	Central Runge-Kutta Schemes for Conservation Laws. SIAM J. Sci. Comput. Lorenzo Pareschi, Gabriella Puppo, Giovanni Russo
2005	J	`jnl`	Fast conservative and entropic numerical methods for the Boson Boltzmann equation. Numerische Mathematik Peter A. Markowich, Lorenzo Pareschi
2005	J	`jnl`	Implicit-Explicit Runge-Kutta Schemes and Applications to Hyperbolic Systems with Relaxation. J. Sci. Comput. Lorenzo Pareschi, Giovanni Russo
2004	Misc	`conf`	A New Monte Carlo Approach for Conservation Laws and Relaxation Systems. International Conference on Computational Science Lorenzo Pareschi, Mohammed Seaïd
2004	J	`jnl`	Convergence of a quadrature formula for the approximation of stress intensity factor for planar cracks. Appl. Math. Comput. Oscar Ascenzi, Lorenzo Pareschi, Fausto Segala
2004	J	`jnl`	Parallel integration of hydrodynamical approximations of the Boltzmann equation for rarefied gases on a cluster of computers. J. Comput. Methods Sci. Eng. José Miguel Mantas Ruiz, Lorenzo Pareschi, José A. Carrillo, Julio Ortega Lopera
2003	J	`jnl`	Spectral methods for the non cut-off Boltzmann equation and numerical grazing collision limit. Numerische Mathematik Lorenzo Pareschi, Giuseppe Toscani, Cédric Villani
2003	J	`jnl`	Uniformly accurate schemes for relaxation approximations to fluid dynamic equations. Appl. Math. Lett. Axel Klar, Lorenzo Pareschi, Mohammed Seaïd
2001	J	`jnl`	A recursive Monte Carlo method for the Boltzmann equation in the Maxwellian case. Monte Carlo Methods Appl. Lorenzo Pareschi, Bernt Wennberg
2001	J	`jnl`	Central Differencing Based Numerical Schemes for Hyperbolic Conservation Laws with Relaxation Terms. SIAM J. Numer. Anal. Lorenzo Pareschi
2001	J	`jnl`	Time Relaxed Monte Carlo Methods for the Boltzmann Equation. SIAM J. Sci. Comput. Lorenzo Pareschi, Giovanni Russo
2000	J	`jnl`	Numerical Schemes for Hyperbolic Systems of Conservation Laws with Stiff Diffusive Relaxation. SIAM J. Numer. Anal. Giovanni Naldi, Lorenzo Pareschi
2000	J	`jnl`	Numerical Solution of the Boltzmann Equation I: Spectrally Accurate Approximation of the Collision Operator. SIAM J. Numer. Anal. Lorenzo Pareschi, Giovanni Russo
2000	J	`jnl`	Uniformly Accurate Diffusive Relaxation Schemes for Multiscale Transport Equations. SIAM J. Numer. Anal. Shi Jin, Lorenzo Pareschi, Giuseppe Toscani