Dr. Christopher Müller

M.Sc.

Research interests

Uncertainty quantification, stochastic Galerkin, fluid dynamics, mixed finite elements, iterative solvers, preconditioning

Contact information

Address:

Dolivostraße 15

D-64293 Darmstadt

Germany

Phone:

+49 6151 16 - 24395

Fax:

+49 6151 16 - 24404

Office:

S4|10-227

Email:

cmueller (at) gsc.tu...

Publications

Jump to: 2019 | 2018 | 2017

2019

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2019):
A Bramble--Pasciak Conjugate Gradient Method for Discrete Stokes Equations with Random Viscosity.
7, In: SIAM/ASA Journal on Uncertainty Quantification, (3), S. 787-805, ISSN 2166-2525, DOI: 10.1137/18m1163920,
[Online-Edition: https://doi.org/10.1137/18m1163920],
[Article]

2018

Müller, Christopher (2018):
Iterative solvers for stochastic Galerkin discretizations of stokes flow with random data.
München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-3832-7,
[Ph.D. Thesis]

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; Wohlmuth, Barbara (Hrsg.) (2018):
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.
In: Lecture Notes in Computational Science and Engineering, In: Recent Advances in Computational Engineering, Cham, Springer International Publishin, S. 63-87, DOI: 10.1007/978-3-319-93891-2_5,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-93891-2_...],
[Book Section]

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2018):
A Bramble-Pasciak conjugate gradient method for discrete Stokes equations with random viscosity.
In: SIAM/ASA Journal on Uncertainty Quantification (JUQ), [Online-Edition: https://arxiv.org/abs/1801.01838],
[Article]

2017

Müller, Christopher ; Ullmann, Sebastian (2017):
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
In: FoMICS-Workshop, Lugano, Switzerland, 15.-19.12.2016, [Konferenzveröffentlichung]

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017):
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
In: Quantification of Uncertainty: Improving Efficiency and Technology (QUIET), Triest, Italy, 18.-21.07.2017, [Konferenzveröffentlichung]

Contact

Technische Universität Darmstadt

Graduate School CE
Dolivostraße 15
D-64293 Darmstadt

Phone+49 6151/16-24401
Fax -24404
OfficeS4|10-322

to assistants' office

Open BSc/MSc Theses

Show a list of open BSc/MSc topics at GSC CE.

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