Oliver G. Ernst

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Effects of inhomogeneity and statistical and material anisotropy on THM simulations. Reliab. Eng. Syst. Saf. Aqeel Afzal Chaudhry, Chao Zhang, Oliver G. Ernst, Thomas Nagel
2025	J	`jnl`	Learning to Integrate. CoRR Oliver G. Ernst, Hanno Gottschalk, Toni Kowalewitz, Patrick Krüger
2024	J	`jnl`	Efficient Solution of Parameter Identification Problems with \(H^1\) Regularization. SIAM J. Sci. Comput. Jan Blechta, Oliver G. Ernst
2022	J	`jnl`	Efficient solution of parameter identification problems with H CoRR Jan Blechta, Oliver G. Ernst
2022	J	`jnl`	On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion. SIAM J. Numer. Anal. Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini
2022	J	`jnl`	Wasserstein Sensitivity of Risk and Uncertainty Propagation. SIAM/ASA J. Uncertain. Quantification Oliver G. Ernst, Alois Pichler, Björn Sprungk
2021	J	`jnl`	Three Ways to Solve Partial Differential Equations with Neural Networks - A Review. CoRR Jan Blechschmidt, Oliver G. Ernst
2020	J	`jnl`	On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion. CoRR Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini
2020	J	`jnl`	Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation. CoRR Oliver G. Ernst, Alois Pichler, Björn Sprungk
2019	J	`jnl`	On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. CoRR Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini
2018	J	`jnl`	Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs). SIAM J. Numer. Anal. Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini
2015	J	`jnl`	Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Oliver G. Ernst, Björn Sprungk, Hans-Jörg Starkloff
2012	J	`jnl`	Efficient Iterative Solvers for Stochastic Galerkin Discretizations of Log-Transformed Random Diffusion Problems. SIAM J. Sci. Comput. Elisabeth Ullmann, Howard C. Elman, Oliver G. Ernst
2011	J	`jnl`	Deflated Restarting for Matrix Functions. SIAM J. Matrix Anal. Appl. Michael Eiermann, Oliver G. Ernst, Stefan Güttel
2010	J	`jnl`	Stochastic Galerkin Matrices. SIAM J. Matrix Anal. Appl. Oliver G. Ernst, Elisabeth Ullmann
2009	J	`jnl`	Efficient Solvers for a Linear Stochastic Galerkin Mixed Formulation of Diffusion Problems with Random Data. SIAM J. Sci. Comput. Oliver G. Ernst, Catherine Elizabeth Powell, David J. Silvester, Elisabeth Ullmann
2006	J	`jnl`	A Restarted Krylov Subspace Method for the Evaluation of Matrix Functions. SIAM J. Numer. Anal. Michael Eiermann, Oliver G. Ernst
2001	J	`jnl`	A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations. SIAM J. Sci. Comput. Howard C. Elman, Oliver G. Ernst, Dianne P. O'Leary
2000	J	`jnl`	Equivalent iterative methods for p-cyclic matrices. Numer. Algorithms Oliver G. Ernst
2000	J	`jnl`	Residual-Minimizing Krylov Subspace Methods for Stabilized Discretizations of Convection-Diffusion Equations. SIAM J. Matrix Anal. Appl. Oliver G. Ernst