PhD Theses
finished:

1. Gregor Kriwet: An Adjoint Reduced Sequential Quadratic Programming Method for Nonlinear Model Predictive Control of Non-Stationary Partial Differential Equations
2. Max Nattermann: Numerical Methods for Optimum Experimental Design Based on Second-Order Approximation of Confidence Regions (defence on 27.10.2014)
3. Tanja Binder: Optimization under Uncertainty: Robust Parameter Estimation with Erroneous Measurements and Uncertain Model Coefficients (finished)
   
   

running:

1. Hilke Stibbe: Numerical Methods for Model Discrimination Under Model Uncertainties
2. Ambreen Khadija: Inexact SQP algorithms for large scale constrained parameter estimation problems
3. Andreas Wukasch: TBA
   
   

Diploma Theses
running:

1. Bonnie Dornhecker: Modellierung und Simulation menschlicher Bewegungen
2. Sandra Graef: Linear Optimization and Flux Balance Analysis

finished:

1. Dan Wang: Globalization Methods for Optimization
2. Therese Grissmer: Model validation for biomechanical models of blood vessels
3. Qian Xiong: Modellbasierte praediktive Regelung zur Berechnung konfliktfreier Trajektorien im Air Traffic Management
4. Nina Saenger: Entwicklung eines Optimierungsalgorithmus fuer ein hochflexibles Produktionssystem
5. Dominik Boden: Optimization Methods for Problems With CQ Violation
6. Anne Schneider: Effiziente Berechnung von Ableitungen fuer das Gauss-Newton-Verfahren mit Hilfe der Two-Step-Peer-Methode
7. Milena Lepojevic: Vector Optimization in a Centralized Approach to Separation Management
8. Anne Schwarmann: Numerische Methoden fuer die Sensitivitaetsanalyse fuer ODE-Systeme mit ganzahligen Komponenten
9. Ayse Eren: Computing Covariance Matrices with Preconditioned Krylov-type Methods
10. Benjamin Rost: Numerical Methods for Optimum Experimental Design using Information on Bifurkation Points
11. Jacob Mueller: Numerical Methods for Optimum Experimental Design Based on Second Order Confidence Regions
12. Olesja Bauer: Methods for Solution of Optimum design problems based on Derivative-Free Techniques
13. Leif Walter: Direct Optimal Control Methods for a Centralized Approach to Separation Management
14. Christopher Muth: An Industrial Optimization Problem
15. Alexander Heschko: Numerical Methods for Inverse Problems for Nonlinear Stochahstic Differential Equations
16. Anja Goldbach: Inventory Optimization
17. Wu Wei: Barrier Methods for Matrix-Norm Minimization Problems
18. Galina Tkacev: Gauss-Newton Methods for Optimum Experimental Design
19. Christoph Nell: Minimal Model for Human Ventricular Action Potentials in Tissue
20. Thorsten Ante: Numerical Methods for Robust Design for Model Discrimination
21. Max Nattermann: Sensitivity Analysis and Optimum Experimental Design for Parameter Estimation Problems based on Quadratic Approximation of Confidence Regions
22. Philipp Moerschel: Development and Implementation of the Gauss-Newton Method for Parameter Estimation with Huber M-Estimator
23. Eva Hetfleisch: Mathematische und finanzwirtschaftliche Analyse des Hedge Accounting
24. Astrid Kolitsch: Optimierung von Schuldenportfolios der oeffentlichen Hand
25. Sebastian Leidorf: Globarisierungsstrategien fuer das Newtonverfahren in Rn
    
    

Master Theses
running:

finished:

1. Andreas Wukasch: Optimal Experimental Design for Validation of Aerodynamic Models
2. Julia Krath: Methode der projizierten Gradienten zur Loesung von linearen l1- Problemen
3. Nicole Denz: Sensitivitaetsanalyse zur Bestimmung von signifikanten Parametern und Modellteilen fuer ODE-Modelle
4. Daniel Weber: Numerical Methods for On-Line Parameter Estimation
5. Hilke Stibbe: Gemischt-ganzzahlige optimale Steuerungsprobleme beim Knock-out von Genen
6. Nico Roesch: Optimum Experimental Design for Robot Calibration
7. Qiu Tian : A Gradient Projection Method for Solving Systems of Linear Inequalities
8. Min Zheng : Ellipsoid Method: Theory and Applications
9. Ilka Kuppler: Numerical Methods for Robust Optimization
10. Gregor Kriwet: Parameter Estimation for PDE Models
11. Jan Kersting: Parametric Quadratic Programming Method for LASSO
12. Ishak Makar: Global Optimization Methods Based on DC Approach

Bachelor Theses
running:

1. Xiaoying Liu : Filter Methods for Optimization
2. Andreas Bechtold : TBA

finished:

1. Marie Raab : Parameterschaetzung aus Daten ueber Bifurkationspunkte
2. Mortesa Hussaini : Linear Support Vector Machines
3. Manuel Bachmann : Computergestuetzte Modellierung der DNA-replikation
4. Elisabeth Becker: Newton Method and Fractals
5. Deborah Gahururu : Generalization of RMT for Optimization Problems
6. Michael Ullmer : On-Line Parameter Estimation
7. Tobias Witekind: Mathematical Modelling of an Optimal Control Problem of Ecology
8. Nese Balandi: Simplex Method for Linear l1 Problems
9. Jan Sebastian Mannes: Anwendung des restriktiven Monotonietests auf ein Optimierungsproblem
10. Dickson Ng: Collocation Methods for Parameter Estimation in ODE
11. Nuray Bilge: Barrier Methods for l1 Linear Optimization Problems
12. Lin Liu : Factor Analysis of Nonlinear Mapplings: p-Regularity Theory
13. Anja Goerlich: Untersuchung von Oszillationen in Reaktionsnetzwerken
14. Mailin Seipp: Anwendung des Nearest-Point-Problem in der LP
15. Nicole Denz: Parameter Estimation in Model of Regulation of Blood Glucose Level
16. Qiu Tian: Quadratically Constrained Quadratic Problems in Improved Repetitive Control Filter Design
17. Hilke Stibbe: Computation of Quadratic Approximation of Nonlinear Confidence Regions in Parameter Estimation
18. Tonang Niky Sandra Nguetsop: 2D Binpacking Problems: Algorithms and Applications
19. Jens Herwig: Investigations on a Theoretical Model for Self-Organization of Min-Proteins in Escherichia Coli
20. Daniel Weber: Kalman Filter vs Direct Multiple Shooting Methods for Parameter Estimation in Chaotic systems
21. Nico Roesch: Parameter Estimation of Denavit-Hartenberg Parameters in Kinematic Robot Models
22. Min Zheng: Gradientenverfahren fuer duenne Rekonstruktion: Anwendung auf das Compressed Sensing Problem
23. Luyao Wang: Parameterschaetzung fuer retardierte Differentialgleichungen mit konstanten Delays
24. Georg Dautfest: Berechnung von Kovarianzmatrizen fuer beschraenkte Parameterschaetzprobleme
25. Jan Kersting: Numerical Approximative Methods for Robust Worst-Case Optimization
26. Gregor Kriwet: Direct Multiple Shooting Methods for Model Discrimination
27. Ilka Kuppler: Online Design of Optimal Experiments for Dynamic Processes
    
    

 

 

 

 

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