A Comparison of the Iterative Regularization Technique and of the Markov Chain Monte Carlo Method: Author’s Instructions for P
نویسندگان
چکیده
This work aims at the comparison between a classical regularization technique and a method within the Bayesian framework, as applied to the solution of an inverse heat conduction problem. The two solution approaches compared are Alifanov's iterative regularization technique and the Markov chain Monte Carlo method. The inverse problem examined in this work deals with the estimation of a transient source term in a heat conduction problem.
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