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Göteborgs universitets publikationer

Time-adaptive FEM for distributed parameter identification in biological models

Författare och institution:
Larisa Beilina (Institutionen för matematiska vetenskaper, matematik, Chalmers/GU); I. Gainova (-)
Publicerad i:
Applied Inverse Problems, Springer Proceedings in Mathematics & Statistics. Larisa Beilina (Ed.), 48 s. 37-50
ISBN:
978-1-4614-7815-7
ISSN:
2194-1009
Publikationstyp:
Konferensbidrag, refereegranskat
Publiceringsår:
2013
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
We propose a time-adaptive finite element method for the solution of a parameter identification problem for ODE which describes dynamical systems of biological models. We present framework of a posteriori error estimate in the Tikhonov functional, in Lagrangian, and in the reconstructed function. We also present time-mesh relaxation property in the adaptivity and formulate the time-mesh refinement recommendation and an adaptive algorithm which can be used to find optimal values of the distributed parameters in biological models.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Matematik
Postens nummer:
190457
Posten skapad:
2013-12-23 17:07
Posten ändrad:
2016-06-27 14:42

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