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math.NA2022
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations
Zhaohui Li, Shihao Yang, Jeff Wu
Partial differential equations (PDEs) are widely used for the description of physical and engineering phenomena. Some key parameters involved in PDEs, which represent certain physi…
stat.ME2022★ 1 cited
Conglomerate Multi-Fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions
Yi Ji, Henry Shaowu Yuchi, Derek Soeder +5
In an era where scientific experimentation is often costly, multi-fidelity emulation provides a powerful tool for predictive scientific computing. While there has been notable work…