Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Abstract
We present a new benchmarking study comparing a boundary-constrained Ehrenpreis–Palamodov Gaussian Process (B-EPGP) surrogate with a classical finite element method combined with Crank–Nicolson time stepping (CN-FEM) for solving the two-dimensional wave equation with homogeneous Dirichlet boundary conditions. The B-EPGP construction leverages exponential-polynomial bases derived from the characteristic variety to enforce the PDE and boundary conditions exactly and employs penalized least squares to estimate the coefficients. To ensure fairness across paradigms, we introduce a degrees-of-freedom (DoF) matching protocol. Under matched DoF, B-EPGP consistently attains lower space-time L2-error and maximum-in-time L2-error in space than CN-FEM, improving accuracy by roughly two orders of magnitude in the two case studies considered.
Fields of Study & Subjects
Model Reduction and Neural Networks
Numerical methods for differential equations
Gaussian Processes and Bayesian Inference
Publication details
- Journal / source
- Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
- Publisher
- University of Florida George A Smathers Libraries
- Volume
- 39
- Issue
- 1
- Publication date
- 6 May 2026
- Language
- EN