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In this contribution, we are concerned with model order reduction in the context of iterative regularization methods for the solution of inverse problems arising from parameter identification in elliptic partial differential equations. Such methods t
Externí odkaz:
http://arxiv.org/abs/2309.07627
Autor:
Kartmann, Michael
In this thesis we consider different multiobjective optimization problems constrained by elliptic PDEs. For such problems the computational effort can be challenging due to (1) the presence of many objectives and the uncountableness of the Pareto set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______715::3569b3861be754b9c784de64cedb26ea
Autor:
Kartmann, Michael
Optimized Schwarz Methods (OSM) are Domain Decomposition (DD) methods for solving efficiently PDEs by splitting the computational domain in subdomains and solve iteratively through the resulting subproblems. The more subdomains are used, the greater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______715::f4988618d2563b6ee6fbaeeffa546abf