Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations

Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations

Inverse problems are prevalent in numerous scientific and engineering disciplines, where the objective is to determine unknown parameters within a physical system using indirect measurements or observations. The inherent challenge lies in deducing the most probable parameter values that align with t...

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Bibliographic Details
Main Authors: Georgios E. Pavlou, Vasiliki Pavlidou, Vagelis Harmandaris
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Computation
Subjects:
inverse problems
reconstruction
Bayesian inference
finite element method
Online Access:https://www.mdpi.com/2079-3197/13/2/37
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