Abstract
The paper describes numerical solution of material parameter identification problems, which arise in geo-applications and many other fields. We describe approach based on nonlinear least squares minimization using different optimization techniques (Nelder-Mead, gradient methods, genetic algorithms) as well as experience with OpenMP+MPI parallelization of the solution methods.
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Blaheta, R., Hrtus, R., Kohut, R., Axelsson, O., Jakl, O. (2012). Material Parameter Identification with Parallel Processing and Geo-applications. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31464-3_37
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DOI: https://doi.org/10.1007/978-3-642-31464-3_37
Publisher Name: Springer, Berlin, Heidelberg
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