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  • Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression

    Yixiang Deng, Guang Lin, Xiu Yang
    2020-11-18
    63034 3496 Pages:1812-1837
  • Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration

    Helumt Harbrecht, John D. Jakeman, Peter Zaspel
    2021-02-25
    45952 3185 Pages:1152-1185
  • Automated Parallel and Body-Fitted Mesh Generation in Finite Element Simulation of Macromolecular Systems

    Yan Xie, Tiantian Liu, Bin Tu, Benzhuo Lu & Linbo Zhang
    2018-04-03
    41049 3327 Pages:582-602
  • Uncertainty Quantification of Density Reconstruction Using MCMC Method in High-Energy X-ray Radiography

    Xinge Li, Haibo Xu, Na Zheng, Qinggang Jia, Tongxiang Gu, Suhua Wei
    2020-05-06
    49324 3532 Pages:1485-1504
  • A Biological Model of Acupuncture and Its Derived Mathematical Modeling and Simulations

    Marc Thiriet, Yannick Deleuze & Tony Wen-Hann Sheu
    2020-07-31
    38646 2984 Pages:831-849
  • High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method

    Bangde Liu, Guang Lin
    2020-11-18
    62546 3360 Pages:1937-1969
  • Weak Collocation Regression for Inferring Stochastic Dynamics with Lévy Noise

    Liya Guo, Liwei Lu, Zhijun Zeng, Pipi Hu, Yi Zhu
    2025-05-29
    8922 499 Pages:1277-1304
  • An Efficient Reduced-Order Model Based on Dynamic Mode Decomposition for Parameterized Spatial High-Dimensional PDEs

    Yifan Lin, Xiang Sun, Jie Nie, Yuanhong Chen, Zhen Gao
    2025-09-02
    11746 904 Pages:575-602
1 - 8 of 8 items
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