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Number of items: 6.

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2019):
A Bramble--Pasciak Conjugate Gradient Method for Discrete Stokes Equations with Random Viscosity.
In: SIAM/ASA Journal on Uncertainty Quantification, 7 (3), pp. 787-805. ISSN 2166-2525,
DOI: 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 ; Ullmann, Sebastian ; Lang, Jens
Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; 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, 124, In: Recent Advances in Computational Engineering, pp. 63-87, Cham, Springer International Publishin, ISBN 978-3-319-93891-2,
DOI: 10.1007/978-3-319-93891-2_5,
[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), 7 (3), pp. 787-805. [Article]

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

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

This list was generated on Sat Oct 23 07:12:54 2021 CEST.