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Thesis

Reliable automatic model reduction combining a posteriori error analysis and a posteriori model reduction

Abstract:

Mathematical models are used for simulations and predictions of various phenomena and processes that can be translated into mathematical language. Nowadays, with easy access to powerful computers and specialised software, even complicated models can be handled. Model output can be generated even by users that may not have specialised mathematical training. A consequence of the increase in complexity of the models on the one hand, and the relative ease of numerical output generation on the ...

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Division:
MPLS
Department:
Computer Science
Role:
Author
Type of award:
MSc by Research
Level of award:
Masters
Awarding institution:
University of Oxford
Keywords:
UUID:
uuid:1c87d329-ee9b-485f-b668-85cb1d804d53
Deposit date:
2019-11-28

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