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  • MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

    Lulu Zhang, Tao Luo, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu, Zheng Ma
    2022-08-11
    307095 3600 Pages:299-335
  • Numerical Simulations for Full History Recursive Multilevel Picard Approximations for Systems of High-Dimensional Partial Differential Equations

    Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen, Philippe von Wurstemberger
    2020-11-18
    64386 3357 Pages:2109-2138
  • Data Generation-Based Operator Learning for Solving Partial Differential Equations on Unbounded Domains

    Jihong Wang, Xin Wang, Jing Li, Bin Liu
    2025-05-29
    8885 481 Pages:1383-1416
  • A Nonlinear Elimination Preconditioner for Fully Coupled Space-Time Solution Algorithm with Applications to High-Rayleigh Number Thermal Convective Flow Problems

    Haijian Yang & Feng-Nan Hwang
    2019-04-28
    46149 3236 Pages:749-767
  • Learning PDEs from Data on Closed Surfaces with Sparse Optimization

    Zhengjie Sun, Leevan Ling, Ran Zhang
    2025-09-02
    11900 956 Pages:289-314
  • The Bulk-Surface Virtual Element Method for Reaction-Diffusion PDEs: Analysis and Applications

    Massimo Frittelli, Anotida Madzvamuse, Ivonne Sgura
    2023-04-28
    32683 3189 Pages:733-763 Open-access
  • Probabilistic High Order Numerical Schemes for Fully Nonlinear Parabolic PDEs

    Tao Kong, Weidong Zhao & Tao Zhou
    2020-07-30
    39341 3361 Pages:1482-1503
  • Long-Time Integration of Nonlinear Wave Equations with Neural Operators

    Guanhang Lei, Zhen Lei, Lei Shi
    2026-01-18
    242 59 Pages:1137-1163
  • Numerical Solution of the Incompressible Navier-Stokes Equation by a Deep Branching Algorithm

    Jiang Yu Nguwi, Guillaume Penent, Nicolas Privault
    2023-09-04
    33490 2855 Pages:261-289
  • Parareal-Richardson Algorithm for Solving Nonlinear ODEs and PDEs

    Shulin Wu, Baochang Shi & Chengming Huang
    2009-06-01
    37431 4086 Pages:883-902
  • Nonlinear Stochastic Galerkin and Collocation Methods: Application to a Ferromagnetic Cylinder Rotating at High Speed

    Eveline Rosseel, Herbert De Gersem & Stefan Vandewalle
    2010-08-01
    43201 4791 Pages:947-975 Open-access
  • A Local Model Reduction Method Based on $k$-Nearest-Neighbors for Parametrized Nonlocal Problems

    Caixia Nan, Qiuqi Li, Huailing Song
    2025-01-22
    15404 898 Pages:220-249
  • High Order Deep Neural Network for Solving High Frequency Partial Differential Equations

    Zhipeng Chang, Ke Li, Xiufen Zou, Xueshuang Xiang
    2022-01-27
    46148 3482 Pages:370-397
  • An Energy-Preserving Wavelet Collocation Method for General Multi-Symplectic Formulations of Hamiltonian PDEs

    Yuezheng Gong & Yushun Wang
    2020-07-30
    42297 3523 Pages:1313-1339
  • Novel Symplectic Discrete Singular Convolution Method for Hamiltonian PDEs

    Wenjun Cai, Huai Zhang & Yushun Wang
    2020-07-31
    40570 3323 Pages:1375-1396
  • Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

    Ameya D. Jagtap, George Em Karniadakis
    2020-11-18
    149394 6595 Pages:2002-2041
  • Velocity-Based Moving Mesh Methods for Nonlinear Partial Differential Equations

    M. J. Baines, M. E. Hubbard & P. K. Jimack
    2011-10-01
    39987 4960 Pages:509-576 Open-access
  • Deep Learning-Based Reduced-Order Methods for Fast Transient Dynamics

    Martina Cracco, Giovanni Stabile, Andrea Lario, Armin Sheidani, Martin Larcher, Folco Casadei, Georgios Valsamos, Gianluigi Rozza
    2026-01-03
    1892 137 Pages:635-660
  • A Kolmogorov High Order Deep Neural Network for High Frequency Partial Differential Equations in High Dimensions

    Yaqin Zhang, Ke Li, Zhipeng Chang, Xuejiao Liu, Yunqing Huang, Xueshuang Xiang
    2025-07-11
    5235 749 Pages:181-222
  • A Five-Point TENO Scheme with Adaptive Dissipation Based on a New Scale Sensor

    Haohan Huang, Tian Liang, Lin Fu
    2023-05-12
    36116 2926 Pages:1106-1131
  • Nonlinear Reduced DNN Models for State Estimation

    Wolfgang Dahmen, Min Wang, Zhu Wang
    2022-07-06
    42845 3718 Pages:1-40
  • A Simple GPU Implementation of Spectral-Element Methods for Solving 3D Poisson Type Equations on Rectangular Domains and Its Applications

    Xinyu Liu, Jie Shen, Xiangxiong Zhang
    2024-12-02
    16999 1355 Pages:1157-1185
  • Capturing Vertical Information in Radially Symmetric Flow Using Hyperbolic Shallow Water Moment Equations

    Rik Verbiest, Julian Koellermeier
    2025-09-02
    10219 549 Pages:810-848
  • High Order Fixed-Point Sweeping WENO Methods for Steady State of Hyperbolic Conservation Laws and Its Convergence Study

    Liang Wu, Yong-Tao Zhang, Shuhai Zhang & Chi-Wang Shu
    2018-04-04
    40482 3195 Pages:835-869
  • On Invariant-Preserving Finite Difference Schemes for the Camassa-Holm Equation and the Two-Component Camassa-Holm System

    Hailiang Liu & Terrance Pendleton
    2018-04-04
    40657 3103 Pages:1015-1041
  • Explicit Multi-Symplectic Methods for Hamiltonian Wave Equations

    J. Hong, S. Jiang, C. Li & H. Liu
    2007-02-01
    39080 3955 Pages:662-683
  • An Efficient Operator-Splitting Method for Noise Removal in Images

    D. Krishnan, P. Lin & X.-C. Tai
    2006-01-01
    39486 4020 Pages:847-858
1 - 27 of 27 items
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