Parameter Identification - Analysis, Algorithms, Applications

Studying Industrial Mathematics in Bremen

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The task of retrieving biological, physical, or technical parameters from measured data is as universal as the quest to determine system parameters for optimisation/controlling complex processes. Accordingly, parameter identification is at the core of multiple applications in all fields of natural sciences, engineering, life sciences, and industrial applications. The demand for tackling ever more complex models in terms of non-linearity, sensitivity, coupling of systems or for including specific expert information as side constraints, provides numerous challenges in mathematical modelling and for designing, analysing, and implementing appropriate algorithms.






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Bild  Daniel Otero Baguer Daniel Otero Baguer has defended his PhD thesis with "summa cum laude"- CONGRATULATIONS!

Speaker

Coordination

Prof. Peter Maass Dr. Tobias Kluth
Phone:   +49 421 218 63801 Phone:  +49 421 218 63817
E-Mail:  pmaass@math.uni-bremen.de E-Mail:  tkluth@math.uni-bremen.de