13 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Learning Physical Operators using Neural Operators
Vignesh Gopakumar, Ander Gray, Dan Giles +5
Neural operators have emerged as promising surrogate models for solving partial differential equations (PDEs), but struggle to generalise beyond training distributions and are ofte…
math.AP2014★ 13 cited
The Factorization method for three dimensional Electrical Impedance Tomography
Nicolas Chaulet, Simon Arridge, Timo Betcke +1
The use of the Factorization method for Electrical Impedance Tomography has been proved to be very promising for applications in the case where one wants to find inhomogeneous incl…
math.NA2007
Stability and convergence of the Method of Fundamental Solutions for Helmholtz problems on analytic domains
A. H. Barnett, T. Betcke
The Method of Fundamental Solutions (MFS) is a popular tool to solve Laplace and Helmholtz boundary value problems. Its main drawback is that it often leads to ill-conditioned syst…