Multifidelity Gaussian process regression for solving nonlinear partial differential equations
arXiv:2605.10383v1 Announce Type: new
Abstract: Solving nonlinear partial differential equations (PDEs) using kernel methods offers a compelling alternative to traditional numerical solvers. However, the performance of these methods strongly depends o…