collaborators

6 papers

math.NA2026

Sufficient conditions for QMC analysis of finite elements for parametric differential equations

Vesa Kaarnioja, Andreas Rupp, Jay Gopalakrishnan

Parametric regularity of discretizations of flux vector fields satisfying a balance law is studied under some assumptions on a random parameter that links the flux with an unknown…

math.NA2026

Generalizing Riemann curvature to Regge metrics

Jay Gopalakrishnan, Michael Neunteufel, Joachim Schöberl +1

In this paper, we propose a generalization of the Riemann curvature tensor on manifolds (of dimension two or higher) endowed with a Regge metric. Specifically, while all components…

math.NA2025

The Johnson-Krizek-Mercier elasticity element in any dimensions

Jay Gopalakrishnan, Johnny Guzman, Jeonghun J. Lee

Mixed methods for linear elasticity with strongly symmetric stresses of lowest order are studied in this paper. On each simplex, the stress space has piecewise linear components wi…

math.AP2025

A 2-complex containing Sobolev spaces of matrix fields

Jay Gopalakrishnan, Kaibo Hu, Joachim Schöberl

Using a generalization of complexes, called 2-complexes, this paper defines and analyzes new Sobolev spaces of matrix fields and their interrelationships within a commuting diagram…

math.NA2025

DPG loss functions for learning parameter-to-solution maps by neural networks

Pablo Cortés Castillo, Wolfgang Dahmen, Jay Gopalakrishnan

We develop, analyze, and experimentally explore residual-based loss functions for machine learning of parameter-to-solution maps in the context of parameter-dependent families of p…

physics.optics2025

Guided modes of helical waveguides

Jay Gopalakrishnan, Michael Neunteufel

This paper studies guided transverse scalar modes propagating through helically coiled waveguides. Modeling the modes as solutions of the Helmholtz equation within the three-dimens…