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ORCIDOliver G. Ernst
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2020 – today
- 2024
[j13]Jan Blechta
, Oliver G. Ernst:
Efficient Solution of Parameter Identification Problems with \(H^1\) Regularization. SIAM J. Sci. Comput. 46(2): 1160- (2024)- 2022
- [j12]Oliver G. Ernst, Alois Pichler, Björn Sprungk:
Wasserstein Sensitivity of Risk and Uncertainty Propagation. SIAM/ASA J. Uncertain. Quantification 10(1): 915-948 (2022) - [j11]Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion. SIAM J. Numer. Anal. 60(2): 659-687 (2022) - [i5]Jan Blechta, Oliver G. Ernst:
Efficient solution of parameter identification problems with H1 regularization. CoRR abs/2209.02815 (2022) - 2021
- [i4]Jan Blechschmidt, Oliver G. Ernst:
Three Ways to Solve Partial Differential Equations with Neural Networks - A Review. CoRR abs/2102.11802 (2021) - 2020
- [i3]Oliver G. Ernst, Alois Pichler, Björn Sprungk:
Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation. CoRR abs/2003.03129 (2020) - [i2]Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion. CoRR abs/2008.07186 (2020)
2010 – 2019
- 2019
- [i1]Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. CoRR abs/1906.01252 (2019) - 2018
- [j10]Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs). SIAM J. Numer. Anal. 56(2): 877-905 (2018) - 2015
- [j9]Oliver G. Ernst, Björn Sprungk, Hans-Jörg Starkloff:
Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 3(1): 823-851 (2015) - 2012
- [j8]Elisabeth Ullmann, Howard C. Elman, Oliver G. Ernst:
Efficient Iterative Solvers for Stochastic Galerkin Discretizations of Log-Transformed Random Diffusion Problems. SIAM J. Sci. Comput. 34(2) (2012) - 2011
- [j7]Michael Eiermann, Oliver G. Ernst, Stefan Güttel:
Deflated Restarting for Matrix Functions. SIAM J. Matrix Anal. Appl. 32(2): 621-641 (2011) - 2010
- [j6]Oliver G. Ernst, Elisabeth Ullmann:
Stochastic Galerkin Matrices. SIAM J. Matrix Anal. Appl. 31(4): 1848-1872 (2010)
2000 – 2009
- 2009
- [j5]Oliver G. Ernst, Catherine Elizabeth Powell, David J. Silvester, Elisabeth Ullmann:
Efficient Solvers for a Linear Stochastic Galerkin Mixed Formulation of Diffusion Problems with Random Data. SIAM J. Sci. Comput. 31(2): 1424-1447 (2009) - 2006
- [j4]Michael Eiermann, Oliver G. Ernst:
A Restarted Krylov Subspace Method for the Evaluation of Matrix Functions. SIAM J. Numer. Anal. 44(6): 2481-2504 (2006) - 2001
- [j3]Howard C. Elman, Oliver G. Ernst, Dianne P. O'Leary:
A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations. SIAM J. Sci. Comput. 23(4): 1291-1315 (2001) - 2000
- [j2]Oliver G. Ernst:
Equivalent iterative methods for p-cyclic matrices. Numer. Algorithms 25(1-4): 161-180 (2000) - [j1]Oliver G. Ernst:
Residual-Minimizing Krylov Subspace Methods for Stabilized Discretizations of Convection-Diffusion Equations. SIAM J. Matrix Anal. Appl. 21(4): 1079-1101 (2000)
Coauthor Index
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