CC BY-SA 4.0 UnportedLatz, JonasSprungk, Björn2024-10-162024-10-162022https://oa.tib.eu/renate/handle/123456789/16852https://doi.org/10.34657/15874The goal of inverse problems is to find an unknown parameter based on noisy data. Such problems appear in a wide range of applications including geophysics, medicine, and chemistry. One method of solving them is known as the Bayesian approach. In this approach, the unknown parameter is modelled as a random variable to reflect its uncertain value. Bayes' theorem is applied to update our knowledge given new information from noisy data.enghttp://creativecommons.org/licenses/by-sa/4.0/510Numerics and Scientific ComputingProbability Theory and StatisticsReport