Cover Image

Parareal algorithms for stochastic Maxwell equations with the damping term driven by additive noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Liying, Zhang, Qi
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parareal Algorithms for Stochastic Maxwell Equations Driven by Multiplicative Noise
by: Zhang, Liying, et al.
Published: (2025)

Wiener chaos expansion for stochastic Maxwell equations driven by Wiener process
by: Ji, Lihai, et al.
Published: (2025)

Two operator splitting methods for three-dimensional stochastic Maxwell equations with multiplicative noise
by: Zhang, Liying, et al.
Published: (2025)

High-order BDF convolution quadrature for stochastic fractional evolution equations driven by integrated additive noise
by: Chen, Minghua, et al.
Published: (2024)

Weak error estimates of Galerkin approximations for the stochastic Burgers equation driven by additive trace-class noise
by: Bréhier, Charles-Edouard, et al.
Published: (2024)

A Parareal algorithm without Coarse Propagator?
by: Gander, Martin J., et al.
Published: (2024)

Quantifying the effect of noise perturbation for the stochastic Burgers equation with additive trace-class noise
by: Cox, Sonja, et al.
Published: (2026)

Exponential Euler method for stiff stochastic differential equations with additive fractional Brownian noise
by: Kamrani, Minoo, et al.
Published: (2023)

Strong approximation of the time-fractional Cahn--Hilliard equation driven by a fractionally integrated additive noise
by: Al-Maskari, Mariam, et al.
Published: (2024)

Fourth-order compact difference schemes for the one-dimensional Euler-Bernoulli beam equation with damping term
by: Huang, Wenjie, et al.
Published: (2025)

A Parareal exponential integrator finite element method for linear parabolic equations
by: Huang, Jianguo, et al.
Published: (2024)

The stochastic fractional nonlinear Schrödinger equations in $H^α$ and structure-preserving algorithm
by: Zhang, Ao, et al.
Published: (2024)

Weak Convergence of Finite Element Approximations of Stochastic Linear Schrödinger equation driven by additive Wiener noise
by: Prasad, Mangala
Published: (2025)

Analysis of splitting schemes for stochastic evolution equations with non-Lipschitz nonlinearities driven by fractional noise
by: Ding, Xiao-Li, et al.
Published: (2025)

Optimizing Coarse Propagators in Parareal Algorithms
by: Jin, Bangti, et al.
Published: (2023)

Stochastic positivity-preserving symplectic splitting methods for stochastic Lotka--Volterra predator-prey model
by: Zhang, Liying, et al.
Published: (2025)

Filtered data based estimators for stochastic processes driven by colored noise
by: Pavliotis, Grigorios A., et al.
Published: (2023)

Estimates of the numerical density for stochastic differential equations with multiplicative noise
by: Li, Lei, et al.
Published: (2024)

Stochastic Parareal Algorithm for Stochastic Differential Equations
by: Wang, Huanxin, et al.
Published: (2025)

PML method for the stochastic acoustic scattering problem driven by an additive Gaussian noise
by: Guo, Hongxia, et al.
Published: (2025)

On the robustness of double-word addition algorithms
by: Yang, Yuanyuan, et al.
Published: (2024)

Long-time weak convergence analysis of a semi-discrete scheme for stochastic Maxwell equations
by: Chen, Chuchu, et al.
Published: (2024)

Parallel-in-Time Solution of Allen-Cahn Equations by Integrating Operator Learning into the Parareal Method
by: Geng, Yuwei, et al.
Published: (2025)

Strong convergence rates for a full discretization of stochastic wave equation with nonlinear damping
by: Cai, Meng, et al.
Published: (2023)

Wavelet-based Edge Multiscale Parareal Algorithm for subdiffusion equations with heterogeneous coefficients in a large time domain
by: Li, Guanglian
Published: (2023)

A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise
by: Vo, Liet
Published: (2025)

Weak convergence order of stochastic theta method for SDEs driven by time-changed Lévy noise
by: Chen, Ziheng, et al.
Published: (2026)

Optimized Two-Step Coarse Propagators in Parareal Algorithms
by: Li, Guanglian, et al.
Published: (2026)

Novel semi-explicit symplectic schemes for nonseparable stochastic Hamiltonian systems
by: Hong, Jialin, et al.
Published: (2024)

A non-damped stabilization algorithm for multibody dynamics
by: de Bustos, Igor Fernandez, et al.
Published: (2024)

Impact of spatial coarsening on Parareal convergence for the linear advection equation
by: Angel, Judith, et al.
Published: (2021)

Robust a posteriori error analysis of the stochastic Cahn-Hilliard equation with rough noise
by: Banas, Lubomir, et al.
Published: (2025)

$p$-adaptive algorithms in Discontinuous Galerkin solutions to the time-domain Maxwell's equations
by: Tiwari, Apurva, et al.
Published: (2022)

Inverse source problems for the stochastic wave equations
by: Huang, Yunqing, et al.
Published: (2025)

Finite element approximations of the stochastic Benjamin-Bona-Mahony equation with multiplicative noise
by: Nguyen, Hung D., et al.
Published: (2026)

Parareal in time and spectral in space fast L1 quasilinear subdiffusion solver
by: Caballero, Josefa, et al.
Published: (2025)

A Micro-Macro Parareal Implementation for the Ocean-Circulation Model FESOM2
by: Philippi, B., et al.
Published: (2023)

Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation
by: Chen, Chuchu, et al.
Published: (2020)

The probabilistic superiority of stochastic symplectic methods via large deviations principles
by: Chen, Chuchu, et al.
Published: (2019)

A parallel-in-time method based on the Parareal algorithm and High-Order Dynamic Mode Decomposition with applications to fluid simulations
by: Liu, Weifan
Published: (2025)