Saved in:
| Main Authors: | Wang, Zhen, Liu, Yun, Cui, Chen, Shu, Shi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.08076 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nodal Hybrid Neural Solvers for Parametric PDE Systems
by: Liu, Yun, et al.
Published: (2025)
by: Liu, Yun, et al.
Published: (2025)
A Hybrid Iterative Neural Solver Based on Spectral Analysis for Parametric PDEs
by: Cui, Chen, et al.
Published: (2024)
by: Cui, Chen, et al.
Published: (2024)
A Neural Multigrid Solver for Helmholtz Equations with High Wavenumber and Heterogeneous Media
by: Cui, Chen, et al.
Published: (2024)
by: Cui, Chen, et al.
Published: (2024)
Projected Sobolev Natural Gradient Descent for Efficient Neural Network Solution of the Gross-Pitaevskii Equation
by: Bao, Chenglong, et al.
Published: (2025)
by: Bao, Chenglong, et al.
Published: (2025)
MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
by: Zhang, Borong, et al.
Published: (2025)
by: Zhang, Borong, et al.
Published: (2025)
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers
by: Chen, Chuqi, et al.
Published: (2024)
by: Chen, Chuqi, et al.
Published: (2024)
Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2024)
by: Oates, Chris. J., et al.
Published: (2024)
Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators
by: Herb, Julius, et al.
Published: (2025)
by: Herb, Julius, et al.
Published: (2025)
A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2025)
by: Fu, Mingwei, et al.
Published: (2025)
Properties of Nonlinear GMRES Applied to the Preconditioned Richardson Iteration
by: He, Yunhui
Published: (2026)
by: He, Yunhui
Published: (2026)
Coupling Physics Informed Neural Networks with External Solvers
by: Halder, Rahul, et al.
Published: (2025)
by: Halder, Rahul, et al.
Published: (2025)
The Dynamical Anatomy of Anderson Acceleration:From Adaptive Momentum to Variable-Mass ODEs
by: Chen, Kewang, et al.
Published: (2025)
by: Chen, Kewang, et al.
Published: (2025)
Solver Performance of Accelerated MoM for Connected Arrays
by: Hultin, Harald, et al.
Published: (2025)
by: Hultin, Harald, et al.
Published: (2025)
Convergence Analysis of the Discrete Constrained Saddle Dynamics and Their Momentum Variants
by: Du, Qiang, et al.
Published: (2026)
by: Du, Qiang, et al.
Published: (2026)
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
by: Zhang, Rui, et al.
Published: (2023)
by: Zhang, Rui, et al.
Published: (2023)
Evaluating a double integral using Euler's method and Richardson extrapolation
by: Prentice, J. S. C.
Published: (2023)
by: Prentice, J. S. C.
Published: (2023)
PhysicsSolver: Transformer-Enhanced Physics-Informed Neural Networks for Forward and Forecasting Problems in Partial Differential Equations
by: Zhu, Zhenyi, et al.
Published: (2025)
by: Zhu, Zhenyi, et al.
Published: (2025)
Randomly sparsified Richardson iteration: A dimension-independent sparse linear solver
by: Weare, Jonathan, et al.
Published: (2023)
by: Weare, Jonathan, et al.
Published: (2023)
Theory and Fast Learned Solver for $\ell^1$-TV Regularization
by: Liu, Xinling, et al.
Published: (2024)
by: Liu, Xinling, et al.
Published: (2024)
Random Batch Method with Momentum Correction
by: Zhao, Yanshun, et al.
Published: (2024)
by: Zhao, Yanshun, et al.
Published: (2024)
A Robust GPU-Accelerated Kernel Compensation Solver with Novel Discretization for Photonic Crystals in Anisotropic Media
by: Jin, Chenhao, et al.
Published: (2025)
by: Jin, Chenhao, et al.
Published: (2025)
A Review of Neural Network Solvers for Second-order Boundary Value Problems
by: Sau, Ramesh Chandra, et al.
Published: (2024)
by: Sau, Ramesh Chandra, et al.
Published: (2024)
A tensor Alternating Anderson-Richardson method for solving multilinear systems with M-tensors
by: Niu, Jing, et al.
Published: (2024)
by: Niu, Jing, et al.
Published: (2024)
A GPU-Accelerated Matrix-Free FAS Multigrid Solver for Navier-Stokes Equations with Memory-Efficient Implementations
by: Meng, Jiale, et al.
Published: (2025)
by: Meng, Jiale, et al.
Published: (2025)
Nested Multilevel Monte Carlo with Preintegration for Efficient Risk Estimation
by: Xu, Yu, et al.
Published: (2026)
by: Xu, Yu, et al.
Published: (2026)
Predictive Moving Sample Method for Physics-Informed Neural Solvers of Time-Dependent PDEs
by: Xu, Beining, et al.
Published: (2026)
by: Xu, Beining, et al.
Published: (2026)
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
by: Arisaka, Sohei, et al.
Published: (2024)
by: Arisaka, Sohei, et al.
Published: (2024)
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models
by: Reddy, Sohail, et al.
Published: (2024)
by: Reddy, Sohail, et al.
Published: (2024)
A Flexible GMRES Solver with Reduced Order Model Enhanced Synthetic Acceleration Preconditioenr for Parametric Radiative Transfer Equation
by: Peng, Zhichao
Published: (2024)
by: Peng, Zhichao
Published: (2024)
Multilevel Interior Penalty Methods on GPUs
by: Cui, Cu, et al.
Published: (2024)
by: Cui, Cu, et al.
Published: (2024)
Learning Neural PDE Solvers with Convergence Guarantees
by: Hsieh, Jun-Ting, et al.
Published: (2019)
by: Hsieh, Jun-Ting, et al.
Published: (2019)
Convergence Guarantees for Gradient-Based Training of Neural PDE Solvers: From Linear to Nonlinear PDEs
by: Zhao, Wei, et al.
Published: (2025)
by: Zhao, Wei, et al.
Published: (2025)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
by: Peng, Liangzu, et al.
Published: (2024)
by: Peng, Liangzu, et al.
Published: (2024)
Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers
by: Zhang, Enrui, et al.
Published: (2022)
by: Zhang, Enrui, et al.
Published: (2022)
Antithetic Multilevel Particle Filters
by: Jasra, Ajay, et al.
Published: (2023)
by: Jasra, Ajay, et al.
Published: (2023)
Bayesian Deep Learning with Multilevel Trace-class Neural Networks
by: Chada, Neil K., et al.
Published: (2022)
by: Chada, Neil K., et al.
Published: (2022)
Fault Oblivious Eigenvalue Solver
by: Mukherjee, Jayanta, et al.
Published: (2025)
by: Mukherjee, Jayanta, et al.
Published: (2025)
A Filtered MgNet Solver For Radiative Transfer Equations
by: Song, Qinchen, et al.
Published: (2026)
by: Song, Qinchen, et al.
Published: (2026)
Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs
by: Baba, Zakaria, et al.
Published: (2026)
by: Baba, Zakaria, et al.
Published: (2026)
Adaptive Residual-Driven Newton Solver for Nonlinear Systems of Equations
by: Ding, Renjie, et al.
Published: (2025)
by: Ding, Renjie, et al.
Published: (2025)
Similar Items
-
Nodal Hybrid Neural Solvers for Parametric PDE Systems
by: Liu, Yun, et al.
Published: (2025) -
A Hybrid Iterative Neural Solver Based on Spectral Analysis for Parametric PDEs
by: Cui, Chen, et al.
Published: (2024) -
A Neural Multigrid Solver for Helmholtz Equations with High Wavenumber and Heterogeneous Media
by: Cui, Chen, et al.
Published: (2024) -
Projected Sobolev Natural Gradient Descent for Efficient Neural Network Solution of the Gross-Pitaevskii Equation
by: Bao, Chenglong, et al.
Published: (2025) -
MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
by: Zhang, Borong, et al.
Published: (2025)