arXiv Machine Learning June 16, 2026 By Vijay Kumar, Gautam Singh

Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems

Read the original on arXiv Machine Learning →

arXiv:2606. 16510v1 Announce Type: cross Abstract: This study proposes a Petrov-Galerkin based Variational Physics-Informed Neural Network (VPINN) for efficiently solving two-dimensional singularly perturbed problems (SPPs) with one and two small perturbation parameters.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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