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International Journal of Numerical Analysis and Modeling
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  • Numerical Characterization of the Regularity Loss in Minimal Surfaces

    M. Hamouda & H. V. J. Le Meur
    2008-05-01
    31394 3562 Pages:152-166
  • Deep Surrogate Model for Learning Green’s Function Associated with Linear Reaction-Diffusion Operator

    Junqing Jia, Lili Ju, Xiaoping Zhang
    2024-10-08
    12853 987 Pages:697-715
  • Deep Neural Network for Solving Differential Equations Motivated by Legendre-Galerkin Approximation

    Bryce Chudomelka, Youngjoon Hong, John Morgan, Hyunwoo Kim, Jinyoung Park
    2024-10-08
    12768 984 Pages:652-673
  • A Novel Deep Neural Network Algorithm for the Helmholtz Scattering Problem in the Unbounded Domain

    Andy L Yang
    2023-09-19
    24648 2111 Pages:724-738
  • Convergence Rate Analysis of Accelerated Forward-Backward Algorithm with Generalized Nesterov Momentum Scheme

    Yizun Lin, Si Li, Yunzhong Zhang
    2023-05-22
    29796 2398 Pages:518-537
  • A Mesh-Less, Ray-Based Deep Neural Network Method for the Helmholtz Equation with High Frequency

    Andy L Yang, Feng Gu
    2022-06-22
    37655 2641 Pages:587-601
  • A Deep Learning Galerkin Method for the Second-Order Linear Elliptic Equations

    ​Jian Li, Wen Zhang, Jing Yue
    2021-05-25
    42705 2634 Pages:427-441
  • Convexity Splitting in a Phase Field Model for Surface Diffusion

    Rainer Backofen, Steven M. Wise, Marco Salvalaglio, Axel Voigt
    2019-02-22
    39010 4266 Pages:192-209 Open-access
  • A Fixed-Point Proximity Approach to Solving the Support Vector Regression with the Group Lasso Regularization

    Zheng Li, Guohui Song, Yuesheng Xu
    2018-08-14
    34074 3911 Pages:154-169
  • Perturbation Analysis of Input-Output Coefficients on Economic Module in the MRICE-E Model

    M. Yan, S.-H. Chang, C.-X. Liu & Z. Wang
    2016-03-10
    32696 2584 Pages:280-295
  • On Local Super-Penalization of Interior Penalty Discontinuous Galerkin Methods

    A. Cangiani, J. Chapman, E. H. Georgoulis, M. Jensen
    2014-11-01
    32633 2593 Pages:478-495
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