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. © 2012 Springer-Verlag.
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CITATION STYLE
Blaheta, R., Hrtus, R., Kohut, R., Axelsson, O., & Jakl, O. (2012). Material parameter identification with parallel processing and geo-applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7203 LNCS, pp. 366–375). https://doi.org/10.1007/978-3-642-31464-3_37
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