Publications

Advanced Search

Results 201–223 of 223

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
Effective Uncertainty Quantification Using Adjoint-Based Error Estimates and Surrogate Models World Congress on Computational Mechanics Timothy Michael Wildey, John Davis Jakeman, Troy Butler	Presentation (non-conference) – 2014 Presentation (non-conference)	2014
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 6.0 Theory ManualVersion 6.0 Theory Manual Brian M. Adams, Lara E Bauman, William J. Bohnhoff, Keith Dalbey, John P. Eddy, Mohamed Salah Ebeida, Michael S. Eldred, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Laura Painton Swiler, John Adam Stephens, Dena Vigil, Timothy Michael Wildey https://www.osti.gov/search/identifier:1177048	SAND Report – 2014 SAND Report	2014
A Posteriori Error Estimates to Enable Effective Dimension Reduction in Stochastic Systems SIAM Conference on Uncertainty Quantification John Davis Jakeman, Corey Bryant, Serge Prudhomme https://www.osti.gov/search/identifier:1141488	Conference Paper – 2014 Conference Paper	2014
Practical identifiability analysis of environmental models International Congress on Environmental Modeling and Software Society John Davis Jakeman, Stefano Marsili-Libelli, Philip Brunner, Barry Croke, Joseph Guillaume, Anthony Jakeman, Karel Keesman, Hans Stigter https://www.osti.gov/search/identifier:1141678	Conference Paper – 2014 Conference Paper	2014
Treating Computer Experiment: What Matters, What Doesn't, What Evidence SIAM Conference on Uncertainty Quantification John Davis Jakeman, Jerome Sacks, J. Loeppky, H. Chen, W. Welch https://www.osti.gov/search/identifier:1141455	Conference Paper – 2014 Conference Paper	2014
FELIX: The Albany Ice Sheet Modeling Code Albany User Group Meeting Irina Kalashnikova Tezaur, Andrew G. Salinger, Mauro Perego, Raymond S. Tuminaro, John Davis Jakeman https://www.osti.gov/search/identifier:1140457	Conference Paper – 2014 Conference Paper	2014
Enhancing adaptive sparse grid approximations and improving refinement streategies using adjoint-based a posteriori error estimates Journal of Computational Physics John Davis Jakeman, Timothy Michael Wildey https://www.osti.gov/search/identifier:1123534	Journal Article – 2013 Journal Article	2013
Polynomial Chaos Methods in Dakota MD Anderson visit John Davis Jakeman https://www.osti.gov/search/identifier:1123391	Conference Paper – 2013 Conference Paper	2013
Deployment of Scalable UQ Methods for High-Fidelity Simulation-based Applications within the DOE Understand Variation to Realize Robust and Optimal Design and Production Donald F. Susan, John Davis Jakeman, Timothy Michael Wildey https://www.osti.gov/search/identifier:1673675	Other Publication – 2013 Other Publication	2013
Constructing Polynomial Chaos Expansions via Compressed Sensing and Cross ValidationCompressed Sensing and Cross Validation 12th US National Congress on Computational Mechancx John Davis Jakeman, Michael S. Eldred https://www.osti.gov/search/identifier:1106456	Conference Paper – 2013 Conference Paper	2013
Scalable Uncertainty Quantification Methods 8th Research Consortium for Multidisciplinary System Design Workshop John Davis Jakeman, Timothy Michael Wildey, Leo W.T. Ng https://www.osti.gov/search/identifier:1666168	Other Publication – 2013 Other Publication	2013
A Posteriori Error Analysis and Adaptive Construction of Surrogate Models FEMTEC Conference John Davis Jakeman, Troy Butler, Paul Constantine, Clint Dawson, Corey Bryant, Serge Prudhomme https://www.osti.gov/search/identifier:1080030	Conference Paper – 2013 Conference Paper	2013
Rapid Development of an Ice Sheet Climate Application using the Components-Based Approach CIS External Review Stuart L. Kupferman, Irina Kalashnikova Tezaur, Mauro Perego, Raymond S. Tuminaro, Michael S. Eldred, John Davis Jakeman https://www.osti.gov/search/identifier:1661056	Other Publication – 2013 Other Publication	2013
High-dimensional sparse grid interpolation and quadrature using one-dimensional Leja quadrature rules 14th International Conference Approximation Theory John Davis Jakeman, Akil Narayan https://www.osti.gov/search/identifier:1073318	Conference Paper – 2013 Conference Paper	2013
Quantifying Uncertainty using a-posteriori Enhanced Sparse Grid Approximations 2013 SIAM Conference on Computational Science & Engineering John Davis Jakeman, Timothy Michael Wildey https://www.osti.gov/search/identifier:1063316	Conference Paper – 2013 Conference Paper	2013
Advances in UQ Algorithms for Wind Energy Applications 2nd Nrel Wind Energy Systems Engineering Workshop Donald F. Susan, Stefan P. Domino, Matthew F. Barone, John Davis Jakeman, Juan J. Alonso, Karthik Duraisamy, Gianluca Iaccarino, Gary Tang, Dongbin Xiu https://www.osti.gov/search/identifier:1062946	Conference Paper – 2013 Conference Paper	2013
Constructing Polynomial Chaos Expansions via Compressed Sensing and Cross Validation 2013 INFORMS Computing Society Conference John Davis Jakeman https://www.osti.gov/search/identifier:1063474	Conference Paper – 2013 Conference Paper	2013
Adaptive sparse grids for uncertainty quantication Enhancing approximations using a posteriori error estimation 2nd Workshop on Sparse Grids and Applications John Davis Jakeman, Timothy Michael Wildey, Michael S. Eldred https://www.osti.gov/search/identifier:1073416	Conference Paper – 2012 Conference Paper	2012
Sparse Polynomial Representations of High Dimensional ModelsDimensional Models 10th World Congress On Computational Mechanics Gary L Kellogg, Khachik Sargsyan, Cosmin Safta, Bert Debusschere, John Davis Jakeman, Michael S. Eldred https://www.osti.gov/search/identifier:1073443	Conference Paper – 2012 Conference Paper	2012
A Discussion of Gaussian Process Models and Polynomial Chaos Methods for Uncertainty QuantificationUncertainty Quantification SAMSI/Sandia Summer School on Uncertainty Quantification John Davis Jakeman, Jason Loeppky, Jerome Sacks https://www.osti.gov/search/identifier:1073376	Conference Paper – 2012 Conference Paper	2012
Locally Adaptive Generalised Sparse Grids SIAM Conference on Uncertainty Quantification John Davis Jakeman, S.G. Roberts https://www.osti.gov/search/identifier:1078654	Conference Paper – 2012 Conference Paper	2012
Quantification of Uncertainty in Extreme Scale Computations (QUEST) DOE Exascale Research Conference Gary L Kellogg, Bert Debusschere, Michael S. Eldred, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1078675	Conference Paper – 2012 Conference Paper	2012
Minimal Multi-Element Stochastic Collocation for Uncertainty Quantification of Discontinuous Functions Journal of Computational Physics John Davis Jakeman, Akil Narayan, Dongbin Xiu https://www.osti.gov/search/identifier:1078731	Journal Article – 2012 Journal Article	2012
Document Title	Type	Year

Results 201–223 of 223

Publications

Effective Uncertainty Quantification Using Adjoint-Based Error Estimates and Surrogate Models

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 6.0 Theory ManualVersion 6.0 Theory Manual

A Posteriori Error Estimates to Enable Effective Dimension Reduction in Stochastic Systems

Practical identifiability analysis of environmental models

Treating Computer Experiment: What Matters, What Doesn't, What Evidence

FELIX: The Albany Ice Sheet Modeling Code

Enhancing adaptive sparse grid approximations and improving refinement streategies using adjoint-based a posteriori error estimates

Polynomial Chaos Methods in Dakota

Deployment of Scalable UQ Methods for High-Fidelity Simulation-based Applications within the DOE

Constructing Polynomial Chaos Expansions via Compressed Sensing and Cross ValidationCompressed Sensing and Cross Validation

Scalable Uncertainty Quantification Methods

A Posteriori Error Analysis and Adaptive Construction of Surrogate Models

Rapid Development of an Ice Sheet Climate Application using the Components-Based Approach

High-dimensional sparse grid interpolation and quadrature using one-dimensional Leja quadrature rules

Quantifying Uncertainty using a-posteriori Enhanced Sparse Grid Approximations

Advances in UQ Algorithms for Wind Energy Applications

Constructing Polynomial Chaos Expansions via Compressed Sensing and Cross Validation

Adaptive sparse grids for uncertainty quantication Enhancing approximations using a posteriori error estimation

Sparse Polynomial Representations of High Dimensional ModelsDimensional Models

A Discussion of Gaussian Process Models and Polynomial Chaos Methods for Uncertainty QuantificationUncertainty Quantification

Locally Adaptive Generalised Sparse Grids

Quantification of Uncertainty in Extreme Scale Computations (QUEST)

Minimal Multi-Element Stochastic Collocation for Uncertainty Quantification of Discontinuous Functions