:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Yan, Wang, Li
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Numerical Analysis Machine Learning
Accesso online:	https://arxiv.org/abs/2409.12296
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A score-based particle method for homogeneous Landau equation
di: Huang, Yan, et al.
Pubblicazione: (2024)

Transport based particle methods for the Fokker-Planck-Landau equation
di: Ilin, Vasily, et al.
Pubblicazione: (2024)

Learn to Evolve: Self-supervised Neural JKO Operator for Wasserstein Gradient Flow
di: Feng, Xue, et al.
Pubblicazione: (2026)

Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes
di: Disarò, Sean, et al.
Pubblicazione: (2026)

A DSMC method for the space homogeneous multispecies Landau equation
di: Medaglia, Andrea
Pubblicazione: (2025)

A structure-preserving collisional particle method for the Landau kinetic equation
di: Du, Kai, et al.
Pubblicazione: (2024)

Numerical analysis of the homogeneous Landau equation: approximation, error estimates and simulation
di: Filbet, Francis, et al.
Pubblicazione: (2025)

Enhanced second-order Gauss-Seidel projection methods for the Landau-Lifshitz equation
di: Li, Panchi, et al.
Pubblicazione: (2024)

A collision-oriented interacting particle system for Landau-type equations and the molecular chaos
di: Du, Kai, et al.
Pubblicazione: (2024)

A structure-preserving local discontinuous Galerkin method for the Fokker-Planck-Landau equation
di: Huang, Kun, et al.
Pubblicazione: (2025)

Finite volume element method for Landau-Lifshitz equation
di: Gong, Yunjie, et al.
Pubblicazione: (2025)

Structure-preserving particle methods for the Landau collision operator using the metriplectic framework
di: Jeyakumar, Sandra, et al.
Pubblicazione: (2024)

Adaptive mesh refinement for the Landau-Lifshitz-Gilbert equation
di: Bohn, Jan, et al.
Pubblicazione: (2023)

Efficient simulation of complex Ginzburg--Landau equations using high-order exponential-type methods
di: Caliari, Marco, et al.
Pubblicazione: (2024)

A note on the adjoint method for neural ordinary differential equation network
di: Hu, Pipi
Pubblicazione: (2024)

A semi-implicit DLN Galerkin finite element method for coupled Ginzburg-Landau equations with general nonlinearity
di: Guan, Zhen, et al.
Pubblicazione: (2026)

Simulation of the magnetic Ginzburg-Landau equation via vortex tracking
di: Corso, Thiago Carvalho, et al.
Pubblicazione: (2025)

The Ginzburg-Landau equations: Vortex states and numerical multiscale approximations
di: Döding, Christian, et al.
Pubblicazione: (2025)

A model-data asymptotic-preserving neural network method based on micro-macro decomposition for gray radiative transfer equations
di: Li, Hongyan, et al.
Pubblicazione: (2022)

Finite-dimensional approximations of random attractor for stochastic discrete complex Ginzburg-Landau equations
di: Fang, Xinjie, et al.
Pubblicazione: (2026)

Weighted implicit-explicit discontinuous Galerkin methods for two-dimensional Ginzburg-Landau equations on general meshes
di: Guan, Zhen, et al.
Pubblicazione: (2025)

Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data
di: Medaglia, Andrea, et al.
Pubblicazione: (2023)

Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations
di: Akande, Oluwatosin, et al.
Pubblicazione: (2025)

Convergence of the fully discrete JKO scheme
di: Hraivoronska, Anastasiia, et al.
Pubblicazione: (2025)

On a class of higher-order length preserving and energy decreasing IMEX schemes for the Landau-Lifshitz equation
di: Li, Xiaoli, et al.
Pubblicazione: (2024)

Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs
di: Akande, Oluwatosin, et al.
Pubblicazione: (2024)

Mixed finite element methods for the Landau--Lifshitz--Baryakhtar and the regularised Landau--Lifshitz--Bloch equations in micromagnetics
di: Soenjaya, Agus L.
Pubblicazione: (2024)

Efficient numerical methods for computing stationary states of spherical Landau-Brazovskii model
di: Qiu, Qun, et al.
Pubblicazione: (2025)

Weighted variation spaces and approximation by shallow ReLU networks
di: DeVore, Ronald, et al.
Pubblicazione: (2023)

Deep Kinetic JKO schemes for Vlasov-Fokker-Planck Equations
di: Lee, Wonjun, et al.
Pubblicazione: (2026)

Diffeomorphism Neural Operator for various domains and parameters of partial differential equations
di: Zhao, Zhiwei, et al.
Pubblicazione: (2024)

Mathematical analysis and numerical simulation of coupled nonlinear space-fractional Ginzburg-Landau equations
di: Ding, Hengfei, et al.
Pubblicazione: (2025)

Asymptotic-preserving deterministic particle methods for collisional plasma models
di: Huang, Yan, et al.
Pubblicazione: (2026)

FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations
di: Ye, Zaijun, et al.
Pubblicazione: (2024)

Macroscopic auxiliary asymptotic preserving neural networks for the linear radiative transfer equations
di: Li, Hongyan, et al.
Pubblicazione: (2024)

Learning by solving differential equations
di: Dherin, Benoit, et al.
Pubblicazione: (2025)

Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks
di: Marcondes, Diego
Pubblicazione: (2026)

Numerical solution of quantum Landau-Lifshitz-Gilbert equation
di: Azimi-Mousolou, Vahid, et al.
Pubblicazione: (2025)

Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations
di: Liu, Ye, et al.
Pubblicazione: (2024)

Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses
di: Dereich, Steffen, et al.
Pubblicazione: (2024)