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Number of items: 6.

Müller, Christopher and Ullmann, Sebastian and 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), pp. 787-805, ISSN 2166-2525, DOI: 10.1137/18m1163920,
[Online-Edition: https://doi.org/10.1137/18m1163920],
[Article]

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 and Ullmann, Sebastian and Lang, Jens Schäfer, Michael and Behr, Marek and Mehl, Miriam and Wohlmuth, Barbara (eds.) (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, pp. 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 and Ullmann, Sebastian and 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]

Müller, Christopher and 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, [Conference or Workshop Item]

Müller, Christopher and Ullmann, Sebastian and 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, [Conference or Workshop Item]

This list was generated on Tue Dec 10 01:41:40 2019 CET.