Contact

Brit Steiner
IANS
Pfaffenwaldring 57
70569 Stuttgart
Germany
 
Fon
+49-711-68562080
Fax
+49-711-68565507

 

 

 

Directly to

zur Startseite

Immanuel Martini

Dipl.-Math.
Immanuel  Martini

This picture shows  
				Immanuel Martini
Phone 0049 711 685-65509
Room 7.326
Email address
Address
Universität Stuttgart
Institute for Applied Analysis and Numerical Simulation
Pfaffenwaldring 57
D-70569  Stuttgart
Deutschland


Research Interests

Reduced basis methods for domain decomposition problems.

Link to project page: RBHDD


Curriculum vitae

since 2012 Research associate, University of Stuttgart
2012 Research assistant, Fraunhofer IPA:
Calibration of Industry Robots
2011 Diploma thesis, University of Stuttgart:
An iterative Domain Decomposition Procedure for the Reduced Basis Method
2006 - 2011     Studies in mathematics, University of Stuttgart
 

Publications

Baur, U.; Benner, P.; Haasdonk, B.; Himpe, C.; Maier, I. & Ohlberger, M.: P. Benner and A. Cohen and M. Ohlberger and K. Willcox (Eds.), Comparison of methods for parametric model order reduction of instationary problems, Model Reduction and Approximation for Complex Systems, Birkhäuser Publishing, 2016. Zeige BibTex

Maier, I. & Haasdonk, B.: A Dirichlet-Neumann reduced basis method for homogeneous domain decomposition problems, Applied Numerical Mathematics, 2014, 78, 31-48. Zeige BibTex

Martini, I. & Haasdonk, B.: Output Error Bounds for the Dirichlet-Neumann Reduced Basis Method, Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2015, 103, 437-445. Zeige BibTex

Martini, I.; Rozza, G. & Haasdonk, B.: Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system, Advances in Computational Mathematics, 2015, 41, 1131-1157. Zeige BibTex

Martini, I.; Rozza, G. & Haasdonk, B.: Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models, Journal of Scientific Computing, 2017. Zeige BibTex

Diploma thesis

Maier: Ein iteratives Gebietszerlegungsverfahren für die Reduzierte-Basis-Methode, University of Stuttgart, 2011. Zeige BibTex