Image de couverture de livre

Numerical approximations of a lattice Boltzmann scheme with a family of partial differential equations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Boghosian, Bruce M, Dubois, François, Lallemand, Pierre
Format:	Preprint
Publié:	2024
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

General fourth order Chapman-Enskog expansion of lattice Boltzmann schemes
par: Dubois, François, et autres
Publié: (2023)

On single distribution lattice Boltzmann schemes for the approximation of Navier Stokes equations
par: Dubois, François, et autres
Publié: (2022)

Theory of the lattice Boltzmann method: discrete effects due to advection
par: Lallemand, Pierre, et autres
Publié: (2024)

Nonlinear fourth order Taylor expansion of lattice Boltzmann schemes
par: Dubois, François
Publié: (2019)

Numerical study on hyper parameter settings for neural network approximation to partial differential equations
par: Yang, Hee Jun, et autres
Publié: (2025)

Simpson's quadrature for a nonlinear variational symplectic scheme
par: Dubois, François, et autres
Publié: (2024)

On Lattice Boltzmann Methods based on vector-kinetic models for hyperbolic partial differential equations
par: Anandan, Megala, et autres
Publié: (2024)

Consistency and stability of boundary conditions for a two-velocities lattice Boltzmann scheme
par: Bellotti, Thomas
Publié: (2024)

A variational symplectic scheme based on Simpson's quadrature
par: Dubois, François, et autres
Publié: (2024)

A variational symplectic scheme based on Lobatto's quadrature
par: Dubois, François, et autres
Publié: (2025)

Point collocation with mollified piecewise polynomial approximants for high-order partial differential equations
par: Alfarisy, Dewangga, et autres
Publié: (2024)

Deep neural network approximation for high-dimensional parabolic partial integro-differential equations
par: Baranek, Marcin
Publié: (2025)

High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations
par: Beneventano, Pierfrancesco, et autres
Publié: (2020)

Structure-preserving schemes for nonlinear symmetric hyperbolic and thermodynamically compatible systems of partial differential equations
par: Lucca, Alessia, et autres
Publié: (2025)

Fourth-order entropy-stable lattice Boltzmann schemes for hyperbolic systems
par: Bellotti, Thomas, et autres
Publié: (2024)

Equilibrium boundary conditions for vectorial multi-dimensional lattice Boltzmann schemes
par: Aregba-Driollet, Denise, et autres
Publié: (2025)

Boundary-preserving weak approximation for some semilinear stochastic partial differential equations
par: Ulander, Johan
Publié: (2024)

Adaptive meshfree approximation for linear elliptic partial differential equations with PDE-greedy kernel methods
par: Wenzel, Tizian, et autres
Publié: (2022)

Spatially dependent node regularity in meshless approximation of partial differential equations
par: Rot, Miha, et autres
Publié: (2024)

Stability of lattice Boltzmann schemes for initial boundary value problems in raw formulation
par: Bellotti, Thomas
Publié: (2025)

Perfectly transparent boundary conditions and wave propagation in lattice Boltzmann schemes
par: Bellotti, Thomas
Publié: (2025)

Regularized lattice Boltzmann method based maximum principle and energy stability preserving finite-difference scheme for the Allen-Cahn equation
par: Chen, Ying, et autres
Publié: (2023)

Monotonicity and convergence of two-relaxation-times lattice Boltzmann schemes for a non-linear conservation law
par: Aregba-Driollet, Denise, et autres
Publié: (2025)

Multilevel Picard approximation algorithm for semilinear partial integro-differential equations and its complexity analysis
par: Neufeld, Ariel, et autres
Publié: (2022)

Asymptotic-preserving semi-Lagrangian discontinuous Galerkin schemes for the Boltzmann equation
par: Cai, Xiaofeng, et autres
Publié: (2025)

Conditions aux limites fortement non lin{é}aires pour les {é}quations d'Euler de la dynamique des gaz
par: Dubois, François
Publié: (2024)

Numerical scheme for the solution of the "bad" Boussinesq equation
par: Charlier, Christophe, et autres
Publié: (2024)

Optimal Prediction for Hamiltonian partial differential equations
par: Chorin, A. J., et autres
Publié: (1999)

Numerical approximation of a class of constrained Hamilton-Jacobi equations
par: Gaudeul, Benoît, et autres
Publié: (2024)

Error estimates of physics-informed neural networks for approximating Boltzmann equation
par: Abdo, Elie, et autres
Publié: (2024)

An introduction to the a posteriori error analysis of parabolic partial differential equations
par: Smears, Iain
Publié: (2025)

Space-time deep neural network approximations for high-dimensional partial differential equations
par: Hornung, Fabian, et autres
Publié: (2020)

Deep learning based numerical approximation algorithms for stochastic partial differential equations
par: Beck, Christian, et autres
Publié: (2020)

Approximating partial differential equations without boundary conditions
par: Bonito, Andrea, et autres
Publié: (2024)

Generative diffusion learning for parametric partial differential equations
par: Wang, Ting, et autres
Publié: (2023)

Boundary neuron method for solving partial differential equations
par: Lin, Ye, et autres
Publié: (2026)

Analytic solutions and numerical method for a coupled thermo-neutronic problem
par: Lafitte, Olivier, et autres
Publié: (2022)

Optimally accurate operators for partial differential equations
par: Fuji, Nobuaki, et autres
Publié: (2025)

Solving partial differential equations in participating media
par: Miller, Bailey, et autres
Publié: (2025)

Numerical approximation of discontinuous solutions of the semilinear wave equation
par: Cao, Jiachuan, et autres
Publié: (2023)