Identification of parameters in the 2-D IHCP
We present a numerical marching scheme, based on mollification and the general cross validation methods, to determine the diffusivity coefficient, as well as the temperature and heat flux histories, in the two-dimensional inverse heat conduction problem when noisy data at the active boundary and the initial measured temperature distribution are given. No information about the quality and/or quantity of the noise is assumed. A proof of stability and convergence of the algorithm, together with several numerical examples, are provided. (C) 2000 Elsevier Science Ltd. All rights reserved.
identification of parameters mollification finite differences automatic filtering