Image de couverture de livre

Stochastic BDDC algorithms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tu, Xuemin, Zhang, Jinjin
Format:	Preprint
Publié:	2025
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

Analysis of BDDC preconditioners for non-conforming polytopal hybrid discretisation methods
par: Badia, Santiago, et autres
Publié: (2025)

A BDDC method with an adaptive coarse space for three-dimensional advection-diffusion problems
par: Peng, Jie, et autres
Publié: (2025)

A ROM-based BDDC solver for unfitted p-FEM level-set-based lattice structures
par: Moreno, Gonzalo Bonilla, et autres
Publié: (2026)

Block BDDC/FETI-DP Preconditioners for Three-Field mixed finite element Discretizations of Biot's consolidation model
par: Chu, Hanyu, et autres
Publié: (2025)

Analysis of the Picard-Newton iteration for the Navier-Stokes equations: global stability and quadratic convergence
par: Pollock, Sara, et autres
Publié: (2024)

Convergence analysis of a balancing domain decomposition method for an elliptic optimal control problem with HDG discretizations
par: Liu, Sijing, et autres
Publié: (2025)

A deterministic solver for the linear Boltzmann model of a single mono-directional proton beam
par: Zhang, Xiaojiang, et autres
Publié: (2025)

On adaptive BDDC for the flow in heterogeneous porous media
par: Sousedík, Bedřich
Publié: (2019)

Encoded Forward Backward Stochastic Neural Network for High-Dimensional Backward Stochastic Differential Equations and Parabolic Partial Differential Equations
par: Zhang, Zhao, et autres
Publié: (2026)

Stochastic Parareal Algorithm for Stochastic Differential Equations
par: Wang, Huanxin, et autres
Publié: (2025)

Parareal algorithms for stochastic Maxwell equations with the damping term driven by additive noise
par: Zhang, Liying, et autres
Publié: (2024)

Parareal Algorithms for Stochastic Maxwell Equations Driven by Multiplicative Noise
par: Zhang, Liying, et autres
Publié: (2025)

Stochastic Convergence Analysis of Inverse Potential Problem
par: Jin, Bangti, et autres
Publié: (2024)

Stochastic asymptotical regularization for nonlinear ill-posed problems
par: Long, Haie, et autres
Publié: (2022)

On weak greedy algorithms
par: Spivak, A. S., et autres
Publié: (2026)

An efficient and memory free algorithm for subdiffusion equation using incremental singular value decomposition
par: Li, Jichun, et autres
Publié: (2022)

The stochastic fractional nonlinear Schrödinger equations in $H^α$ and structure-preserving algorithm
par: Zhang, Ao, et autres
Publié: (2024)

Adaptive and frugal BDDC coarse spaces for virtual element discretizations of a Stokes problem with heterogeneous viscosity
par: Bevilacqua, Tommaso, et autres
Publié: (2024)

Stochastic Domain Decomposition Based on Variable-Separation Method
par: Chen, Liang, et autres
Publié: (2023)

A Stochastic Algorithm for Searching Saddle Points with Convergence Guarantee
par: Shi, Baoming, et autres
Publié: (2025)

Stochastic trace formulas
par: Dettmann, C. P., et autres
Publié: (1999)

Mechanical Proving the Symplecticity of Partitioned Runge--Kutta Methods for Determinate and Stochastic Hamiltonian Systems
par: Zhang, Xiaojing
Publié: (2025)

An efficient Fourier spectral algorithm for the Bogoliubov-de Gennes excitation eigenvalue problem
par: Li, Yu, et autres
Publié: (2025)

Sparse sampling recovery by greedy algorithms
par: Temlyakov, V.
Publié: (2023)

Stochastic Convergence Analysis for Large-Scale Linear Discrete Ill-posed Problems
par: Ling, Duan-Peng, et autres
Publié: (2026)

A BDDC Preconditioner for the Cardiac EMI Model in three Dimensions
par: Goebel, Fritz, et autres
Publié: (2025)

On the robustness of double-word addition algorithms
par: Yang, Yuanyuan, et autres
Publié: (2024)

Universal numerical algorithms and their software implementation
par: Litvinov, Grigori, et autres
Publié: (2001)

Homogeneous algorithms and solvable problems on cones
par: Krieg, David, et autres
Publié: (2023)

Optimal Estimation and Uncertainty Quantification for Stochastic Inverse Problems via Variational Bayesian Methods
par: Song, Ruibiao, et autres
Publié: (2025)

Limited-Precision Stochastic Rounding
par: Arar, El-Mehdi El, et autres
Publié: (2026)

An AI-aided algorithm for multivariate polynomial reconstruction on Cartesian grids and the PLG finite difference method
par: Zhang, Qinghai, et autres
Publié: (2024)

Two-dimensional moment problem and Schur algorithm
par: Kovalyov, Ivan, et autres
Publié: (2024)

Structure-Preserving Implicit Runge-Kutta Methods for Stochastic Poisson Systems with Multiple Noises
par: Zhang, Liying, et autres
Publié: (2025)

Low-rank alternating direction doubling algorithm for solving large-scale continuous time algebraic Riccati equations
par: Zhang, Juan, et autres
Publié: (2024)

Recursive algorithms for computing Birkhoff interpolation polynomials
par: Jiang, Xue, et autres
Publié: (2025)

Randomized algorithms for Kroncecker tensor decomposition and applications
par: Ahmadi-Asl, Salman, et autres
Publié: (2024)

Reflective block Kaczmarz algorithms for least squares
par: Shao, Changpeng
Publié: (2024)

A Parareal algorithm without Coarse Propagator?
par: Gander, Martin J., et autres
Publié: (2024)

Generalized prolate spheroidal functions: algorithms and analysis
par: Greengard, Philip
Publié: (2018)