Articles

• Preface: Special issue for the 25th anniversary of the East Asia Section of the Society for Industrial and Applied Mathematics (EASIAM).

  i-i

  https://doi.org/10.4208/eajam.v14n3.preface%20

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  28140 2031

• An Adaptive Nonlinear Least-Squares Finite Element Method for a Pucci Equation in Two Dimensions

  Susanne C. Brenner, Li-Yeng Sung, Zhiyu Tan

  451-459

  https://doi.org/10.4208/eajam.2023-277.150124

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  28359 2083

• Recovering the Source Term in Elliptic Equation via Deep Learning: Method and Convergence Analysis

  Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang, Pingwen Zhang

  460-489

  https://doi.org/10.4208/eajam.2023-271.290324

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  29528 2044

• A Hybrid Neural-Network and MAC Scheme for Stokes Interface Problems

  Che-Chia Chang, Chen-Yang Dai, Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai

  490-506

  https://doi.org/10.4208/eajam.2024-006.060424

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  25341 2140

• Real-Time Computing for a Parameterized Feedback Control Problem of Boussinesq Equations by POD and Deep Learning

  Guang-Ri Piao, Hyung-Chun Lee

  507-529

  https://doi.org/10.4208/eajam.2023-094.250623

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  23421 1960

• An Extended Fourier Pseudospectral Method for the Gross-Pitaevskii Equation with Low Regularity Potential

  Weizhu Bao, Bo Lin, Ying Ma, Chushan Wang

  530-550

  https://doi.org/10.4208/eajam.2023-273.010124

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  23435 1950

• A Pre-Training Deep Learning Method for Simulating the Large Bending Deformation of Bilayer Plates

  Xiang Li, Yulei Liao, Pingbing Ming

  551-578

  https://doi.org/10.4208/eajam.2023-325.070124

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  27172 2100

• An Adaptive Projection Algorithm for Solving Nonlinear Monotone Equations with Convex Constraints

  Zhi Zhao, Xiao-Qing Jin, Teng-Teng Yao

  579-600

  https://doi.org/10.4208/eajam.2023-244.100124

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  23546 1851

• An Adaptive Moving Mesh Method for Simulating Finite-Time Blowup Solutions of the Landau-Lifshitz-Gilbert Equation

  Zheyue Fang, Xiaoping Wang

  601-635

  https://doi.org/10.4208/eajam.2023-322.250224

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  23678 1954

• Plasma-Simulation Physics Informed Neural Networks (PS-PINNs) for Global Discharge Models

  Heejae Kwon, Eunsuh Kim, Sungha Cho, Deuk-Chul Kwon, Hee-Hwan Choe, Minseok Choi

  636-656

  https://doi.org/10.4208/eajam.2023-313.170324

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  24352 1973