Combined State and Parameter Reduction for Nonlinear Systems with an Application in Neuroscience

Basic data of the doctoral examination procedure

Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster
End date of doctoral examination procedure20/06/2016
Name of the doctoral candidateHimpe, Christian
Doctoral subjectMathematik
Doctoral degreeDr. rer. nat.
Awarded byDepartment 10 - Mathematics and Computer Science

Description

This work investigates two complementary methods for combined state and parameter reduction of nonlinear systems. First, a system-theoretic approach using empirical gramians and second, an iterative method utilizing the greedy algorithm. The presented methods are applied in the context of connectivity analysis of neuroimaging data, in which these nonlinear model reduction techniques are demonstrated to accelerate the solution of large-scale inverse problems enabling the data-driven exploration of more complex neuronal networks for example in the human brain.

Projects in which the doctoral examination procedure takes/took place

Duration: 01/11/2012 - 31/10/2019 | 1st Funding period
Funded by: DFG - Cluster of Excellence
Type of project: Main DFG-project hosted at University of Münster

Publications resulting from doctoral examination procedure

Himpe C, Ohlberger M (2016)
In: System Science and Control Engineering, 4(1)
Type of Publication: Research article (journal)
Himpe C, Ohlberger M (2015)
In: Model Reduction for Parameterized Systems (MoRePaS) III, Trieste, Italy, .
Type of Publication: Abstract in digital collection (conference)
Himpe C, Ohlberger M (2015)
In: (eds.), . (no publisher available).
Type of Publication: Research article in edited proceedings (conference)
Himpe C, Ohlberger M (2015)
In: 5th International Workshop on Model Reduction in Reacting Flows, Spreewald, .
Type of Publication: Abstract in digital collection (conference)
Himpe C, Ohlberger M (2015)
In: Advances in Computational Mathematics, 41(5)
Type of Publication: Research article (journal)
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