Oliver G. Ernst

20 papers Journal 20
YearRankTypeTitle / 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