Claudia Schillings
Tittel
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Sitert av
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Analysis of the ensemble Kalman filter for inverse problems
C Schillings, AM Stuart
SIAM Journal on Numerical Analysis 55 (3), 1264-1290, 2017
1312017
Sparse, adaptive Smolyak quadratures for Bayesian inverse problems
C Schillings, C Schwab
Inverse Problems 29 (6), 065011, 2013
1302013
Efficient shape optimization for certain and uncertain aerodynamic design
C Schillings, S Schmidt, V Schulz
Computers & Fluids 46 (1), 78-87, 2011
812011
On the treatment of distributed uncertainties in PDE‐constrained optimization
A Borzì, V Schulz, C Schillings, G Von Winckel
GAMM‐Mitteilungen 33 (2), 230-246, 2010
562010
Sparsity in Bayesian inversion of parametric operator equations
C Schillings, C Schwab
Inverse Problems 30 (6), 065007, 2014
522014
Large deformation shape uncertainty quantification in acoustic scattering
R Hiptmair, L Scarabosio, C Schillings, C Schwab
Advances in Computational Mathematics 44 (5), 1475-1518, 2018
492018
Convergence analysis of ensemble Kalman inversion: the linear, noisy case
C Schillings, AM Stuart
Applicable Analysis 97 (1), 107-123, 2018
492018
Problem formulations and treatment of uncertainties in aerodynamic design
V Schulz, C Schillings
AIAA journal 47 (3), 646-654, 2009
402009
Scaling limits in computational Bayesian inversion
C Schillings, C Schwab
ESAIM: Mathematical Modelling and Numerical Analysis 50 (6), 1825-1856, 2016
372016
Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches
D Liu, A Litvinenko, C Schillings, V Schulz
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 334-352, 2017
302017
On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems
C Schillings, B Sprungk, P Wacker
Numerische Mathematik 145 (4), 915-971, 2020
282020
Well posedness and convergence analysis of the ensemble Kalman inversion
D Blömker, C Schillings, P Wacker, S Weissmann
Inverse Problems 35 (8), 085007, 2019
282019
A strongly convergent numerical scheme from ensemble Kalman inversion
D Blömker, C Schillings, P Wacker
SIAM Journal on Numerical Analysis 56 (4), 2537-2562, 2018
272018
On the influence of robustness measures on shape optimization with stochastic uncertainties
C Schillings, V Schulz
Optimization and Engineering 16 (2), 347-386, 2015
262015
Efficient characterization of parametric uncertainty of complex (bio) chemical networks
C Schillings, M Sunnåker, J Stelling, C Schwab
PLoS computational biology 11 (8), e1004457, 2015
242015
Optimal aerodynamic design under uncertainties
C Schillings
152011
Optimal aerodynamic design under uncertainty
V Schulz, C Schillings
Management and Minimisation of Uncertainties and Errors in Numerical …, 2013
122013
Sparse approximation algorithms for high dimensional parametric initial value problems
M Hansen, C Schillings, C Schwab
Modeling, Simulation and Optimization of Complex Processes-HPSC 2012, 63-81, 2014
112014
A note on sparse, adaptive Smolyak quadratures for Bayesian inverse problems
C Schillings, C Schwab
Research report/Seminar für Angewandte Mathematik 2013 (6), 2013
102013
A quasi-Monte Carlo method for an optimal control problem under uncertainty
PA Guth, V Kaarnioja, FY Kuo, C Schillings, IH Sloan
arXiv preprint arXiv:1910.10022, 2019
92019
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Artikler 1–20