Optimization under uncertainty : robust parameter estimation with erroneous measurements and uncertain model coefficients
In particular in the last decade, optimization under uncertainty has engaged attention in the mathematical community and beyond. When trying to model the behavior of real-world processes mathematically, this behavior is often not fully understood. Uncertainty may concern the involved species of biol...
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Formaat: | Dissertation |
Taal: | Engels |
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Philipps-Universität Marburg
2012
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Online toegang: | PDF Full text |
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