L
Lorenzo Pareschi
Researcher at University of Ferrara
Publications - 247
Citations - 8918
Lorenzo Pareschi is an academic researcher from University of Ferrara. The author has contributed to research in topics: Boltzmann equation & Monte Carlo method. The author has an hindex of 45, co-authored 236 publications receiving 7402 citations. Previous affiliations of Lorenzo Pareschi include University of Wisconsin-Madison & Union des Industries Ferroviaires Européennes.
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The Kinetic Theory of Mutation Rates
TL;DR: The Luria-Delbrück mutation model is a cornerstone of evolution theory and has been mathematically formulated in a number of ways, e.g., by means of classical statistical mechanics tools as discussed by the authors .
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On steady-state preserving spectral methods for homogeneous Boltzmann equations
TL;DR: A general way is presented to construct spectral methods for the collision operator of the Boltzmann equation that preserves exactly the Maxwellian steady state of the system and is able to approximate with spectral accuracy the solution uniformly in time.
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Constrained consensus-based optimization
TL;DR: In this article, a consensus-based optimization (CBO) approach combined with suitable penalization techniques is introduced for high dimensional constrained nonlinear optimization problems by particle-based gradient-free techniques.
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High order asymptotic-preserving schemes for the Boltzmann equation
Giacomo Dimarco,Lorenzo Pareschi +1 more
TL;DR: In this article, Filbet et al. discuss the construction of high order asymptotic preserving numerical schemes for the Boltzmann equation based on the use of Implicit-Explicit (IMEX) Runge-Kutta methods combined with a penalization technique.
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A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs
TL;DR: A stochastic Asymptotic-Preserving (sAP) scheme for the kinetic chemotaxis system withrandom inputs, which will converge to the modified Keller-Segel model with random inputs in the diffusive regime is developed.