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20242026
most citedStabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators

4 citations · 4 across the 4 of their papers we have counts for

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5 papers · 1 filter

math.NA2026

Boundary Value Correction for the Boundary Element Method

Erik Burman, Peter Hansbo, Mats G. Larson

We develop a boundary element method for the Laplace equation with Dirichlet boundary conditions in a bounded three-dimensional domain. The method uses flat panels of maximum diame…

math.NA2026

Latent Inversion of Material Coefficients from Boundary Data via Finite Tests and Neural Surrogates

Erik Burman, Mats G. Larson, Karl Larsson +1

We reconstruct a spatially varying material coefficient in a scalar elliptic equation from finitely many boundary excitations, each producing a full Dirichlet trace. To mitigate th…

math.NA2026

Normal Equations and Discrete Energy Structures for High-Order Streamline Diffusion

Erik Burman, Peter Hansbo, Mats G. Larson

We analyse fully discrete Streamline Diffusion finite element methods, also known as SUPG methods, for time-dependent first-order systems with skew-symmetric spatial operators. To…

math.NA2026

Cut Finite Element Methods for Convection-Diffusion in Mixed-Dimensional Domains

Erik Burman, Peter Hansbo, Mats G. Larson +2

We develop a cut finite element method (CutFEM) for convection--diffusion problems posed on mixed-dimensional domains, i.e., unions of manifolds of different dimensions arranged in…

math.NA2026

Solving Inverse Parametrized Problems via Finite Elements and Extreme Learning Networks

Erik Burman, Mats G. Larson, Karl Larsson +1

We develop an interpolation-based modeling framework for parameter-dependent partial differential equations arising in control, inverse problems, and uncertainty quantification. Th…