Michael S. Eldred

Optimization & Uncertainty Quantification

Author profile picture

Optimization & Uncertainty Quantification

mseldre@sandia.gov

(505) 844-6479

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1318

Biography

Mike led the DAKOTA project for 15 years (1994-2009) and now leads algorithm research activities that target new capabilities for DAKOTA. Mike’s research interests include uncertainty quantification, design under uncertainty, multifidelity modeling, surrogate-based optimization, and high-performance computing, with application to stockpile stewardship and energy initiatives through NNSA and Office of Science programs (ASCSciDAC, et al.). A number of his publications are available on the DAKOTA web site.

Education

Mike received his B.S. in Aerospace Engineering from Virginia Tech in 1989, his M.S.E. and Ph.D. in Aerospace Engineering from the University of Michigan in 1990 and 1993, and is currently a Distinguished Member of the Technical Staff in the Optimization and Uncertainty Quantification Department within the Center for Computing Research at Sandia National Laboratories.

Mike is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the Society for Industrial and Applied Mathematics (SIAM), the International Society for Structural and Multidisciplinary Optimization (ISSMO), and the United States Association for Computational Mechanics (USACM). Mike currently serves as an alumni member of the AIAA Nondeterministic Approaches Technical Committee and on the editorial board for the International Journal for Uncertainty Quantification.

Publications

Michael Eldred, Brian Adams, Gianluca Geraci, Teresa Portone, Elliott Ridgway, John Stephens, Timothy Wildey, (2022). Deployment of Multifidelity Uncertainty Quantification for Thermal Battery Assessment Part I: Algorithms and Single Cell Results https://doi.org/10.2172/1885882 Publication ID: 80135

John Jakeman, Michael Eldred, Gianluca Geraci, Daniel Seidl, Thomas Smith, Alex Gorodetsky, Trung Pham, Akil Narayan, Xiaoshu Zeng, Roger Ghanem, (2022). Multi-fidelity information fusion and resource allocation https://doi.org/10.2172/1888363 Publication ID: 80245

John Jakeman, Sam Friedman, Michael Eldred, Lorenzo Tamellini, Alex Gorodetsky, Doug Allaire, (2022). Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems International Journal for Numerical Methods in Engineering https://doi.org/10.1002/nme.6958 Publication ID: 80511

Habib Najm, Yoona Yang, Judit Zador, Michael Eldred, (2021). Surrogate models and physics constraints in atomistic modeling https://doi.org/10.2172/1903685 Publication ID: 77137

Anh Tran, Michael Eldred, Scott McCann, Yan Wang, (2021). srMO-BO-3GP: A sequential regularized multi-objective Bayesian optimization for constrained design applications using an uncertain Pareto classifier Journal of Mechanical Design https://doi.org/10.1115/1.4052445 Publication ID: 75386

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, Teresa Portone, Timothy Wildey, Ahmad Rushdi, Daniel Seidl, (2021). The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact https://www.osti.gov/servlets/purl/1891078 Publication ID: 76127

Sam Friedman, John Jakeman, Michael Eldred, Lorenzo Tamellini, Alex Gorodestky, Doug Allaire, (2021). Adaptive resource allocation for surrogate modeling of systems comprised of multiple disciplines with varying fidelity https://doi.org/10.2172/1807453 Publication ID: 78769

John Jakeman, Michael Eldred, Gianluca Geraci, Teresa Portone, Ahmad Rushdi, Daniel Seidl, Thomas Smith, (2021). Multi-fidelity Machine Learning https://doi.org/10.2172/1876608 Publication ID: 79162

Merritt Michael, Gianluca Geraci, Michael Eldred, Teresa Portone, (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis https://doi.org/10.2172/1882333 Publication ID: 79476

Xiaoshu Zeng, Gianluca Geraci, Michael Eldred, John Jakeman, Alex Gorodetsky, Roger Ghanem, (2021). Adaptive Basis for Multifidelity Uncertainty Quantification https://doi.org/10.2172/1889016 Publication ID: 79504

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, Teresa Portone, (2021). Efficient Deployment of Multifidelity Sampling Methods in Production Settings https://doi.org/10.2172/1882491 Publication ID: 79508

Friedrich Menhorn, Gianluca Geraci, Daniel Seidl, Michael Eldred, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, (2021). Multilevel Estimators for Measures of Robustness in Optimization under Uncertainty https://doi.org/10.2172/1881729 Publication ID: 79510

John Jakeman, Samuel Friedman, Michael Eldred, Lorenzo Tamellini, Alex Gorodetsky, Doug Allaire, (2021). Adaptive resource allocation for surrogate modeling of systems comprised of multiple disciplines with varying fidelity https://doi.org/10.2172/1872879 Publication ID: 78820

John Jakeman, Alex Gorodetsky, Michael Eldred, Gianluca Geraci, Thomas Smith, (2021). MFNETS: Multi-Fidelity Data-Driven Networks for Data Analysis https://doi.org/10.2172/1854429 Publication ID: 77472

Teresa Portone, Laura Swiler, Gianluca Geraci, Michael Eldred, (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model https://doi.org/10.2172/1847219 Publication ID: 77339

Michael Eldred, Alex Gorodetsky, Gianluca Geraci, John Jakeman, Teresa Portone, (2021). Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ https://doi.org/10.2172/1847573 Publication ID: 77372

Friedrich Menhorn, Gianluca Geraci, Daniel Seidl, Michael Eldred, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, (2021). Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty https://doi.org/10.2172/1847580 Publication ID: 77379

Michael Merritt, Gianluca Geraci, Michael Eldred, Teresa Portone, (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis https://doi.org/10.2172/1847581 Publication ID: 77380

Xiaoshu Zeng, Gianluca Geraci, Michael Eldred, Roger Ghanem, (2021). Exploring important directions for multifidelity uncertainty quantification by basis adaptation method https://doi.org/10.2172/1848037 Publication ID: 77384

Michael Eldred, (2021). Introduction of Michael S. Eldred https://www.osti.gov/servlets/purl/1843098 Publication ID: 75163

Friedrich Menhorn, Gianluca Geraci, Daniel Seidl, Michael Eldred, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, (2020). Multifidelity strategies for optimization under uncertainty of wind power plants https://doi.org/10.2172/1836901 Publication ID: 72258

Alex Gorodetsky, Kazuya Tsuji, John Jakeman, Gianluca Geraci, Michael Eldred, (2020). Multifidelity information fusion via network models for uncertainty quantification in aerospace dynamical systems https://doi.org/10.2172/1836910 Publication ID: 72268

Gianluca Geraci, Michael Eldred, Alex Gorodetsky, John Jakeman, (2020). Multifidelity Strategies in UQ: an overview on some recent trends in sampling based approaches https://www.osti.gov/servlets/purl/1822111 Publication ID: 74972

Anh Tran, Michael Eldred, Yan Wang, Scott McCann, (2020). srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications https://doi.org/10.1115/DETC2020-22184 Publication ID: 74268

Alex Gorodetsky, Gianluca Geraci, Michael Eldred, John Jakeman, (2020). A generalized approximate control variate framework for multifidelity uncertainty quantification Journal of Computational Physics https://doi.org/10.1016/j.jcp.2020.109257 Publication ID: 71027

Michael Eldred, (2020). FY20 Q3/Q4 Modularization https://www.osti.gov/servlets/purl/1786300 Publication ID: 73617

David Maniaci, Alan Hsieh, Gianluca Geraci, Daniel Seidl, Thomas Herges, Michael Eldred, Myra Blaylo, Brent Houchens, (2020). Verification Validation and Uncertainty Quantification (V&V/UQ) of Wind Plant Models Project Overview of FY20 Q2 Milestone Completion: Wind Uncertainty Quantification Session and Publications https://www.osti.gov/servlets/purl/1778659 Publication ID: 73286

Patrick Blonigan, Gianluca Geraci, Francesco Rizzi, Michael Eldred, (2020). Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification AIAA Scitech 2020 Forum https://doi.org/10.2514/6.2020-0420 Publication ID: 70669

Patrick Blonigan, Gianluca Geraci, Francesco Rizzi, Michael Eldred, (2020). Towards an integrated and efficient framework for leveraging reduced order models for multifidelity Uncertainty Quantification https://doi.org/10.2514/6.2020-0420 Publication ID: 70670

Alan Hsieh, David Maniaci, Thomas Herges, Gianluca Geraci, Daniel Seidl, Michael Eldred, Myra Blaylock, Brent Houchens, (2020). Multilevel Uncertainty Quantification Using CFD and OpenFAST Simulations of the SWiFT Facility https://doi.org/10.2514/6.2020-1949 Publication ID: 70698

Anh Tran, Michael Eldred, Scott McCann, Yan Wang, (2020). srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications Proceedings of the ASME Design Engineering Technical Conference https://www.osti.gov/servlets/purl/1808255 Publication ID: 74041

Friedrich Menhorn, Gianluca Geraci, Michael Eldred, Youssef Marzouk, (2020). Multifideliy optimization under uncertainty for a scramjet-inspired problem Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018 https://www.osti.gov/servlets/purl/1525656 Publication ID: 61778

David Maniaci, A. Frankel, Gianluca Geraci, Myra Blaylock, Michael Eldred, (2020). Multilevel uncertainty quantification of a wind turbine large eddy simulation model Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018 https://www.osti.gov/servlets/purl/1526815 Publication ID: 62569

Alex Gorodetsky, John Jakeman, Gianluca Geraci, Michael Eldred, (2020). Mfnets: Multi-fidelity data-driven networks for bayesian learning and prediction International Journal for Uncertainty Quantification https://doi.org/10.1615/Int.J.UncertaintyQuantification.2020032978 Publication ID: 74093

Michael Eldred, G. Geraci, G. Iaccarino, (2020). Foreword: Special issue on multilevel-multifidelity approaches for uncertainty quantification International Journal for Uncertainty Quantification https://doi.org/10.1615/int.j.uncertaintyquantification.v10.i6.10 Publication ID: 71919

Menhorn Friedrich, Gianluca Geraci, Daniel Seidl, Michael Eldred, King Ryan, Bungartz Hans-Joachim, Marzouk Youssef, (2019). Higher moment multilevel estimators for optimization under uncertainty applied to wind plant design https://www.osti.gov/servlets/purl/1643359 Publication ID: 66951

Gianluca Geraci, Patrick Blonigan, Francesco Rizzi, Alex Gorodetsky, Kevin carlberg, Michael Eldred, (2019). An integrated and efficient framework for embedded Reduced Order Models for multifidelity Uncertainty Quantification https://www.osti.gov/servlets/purl/1643587 Publication ID: 66524

Gianluca Geraci, Michael Eldred, Alex Gorodetsky, John Jakeman, (2019). Recent advancement in Multifidelity Uncertainty Quantification https://www.osti.gov/servlets/purl/1642820 Publication ID: 65621

Michael Eldred, Gianluca Geraci, Daniel Seidl, Friedrich Menhorn, Ryan King, Thomas Herges, Alan Hsieh, David Maniaci, (2019). Milestone: Develop multilevel emulator-based Bayesian inference capabilities and demonstrate data assimilation for SWiFT configuration https://www.osti.gov/servlets/purl/1646013 Publication ID: 65367

Patrick Blonigan, Gianluca Geraci, Francesco Rizzi, Michael Eldred, Kevin carlberg, (2019). On-line Generation and Error Handling for Surrogate Models within Multifidelity Uncertainty Quantification https://doi.org/10.2172/1567834 Publication ID: 65256

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2019). Multilevel / Multifidelity Sampling and Emulation for Forward UQ https://www.osti.gov/servlets/purl/1645988 Publication ID: 65019

Habib Najm, Cosmin Safta, Xun Huan, Tiernan Casey, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael Eldred, Gianluca Geraci, (2019). Uncertainty Quantification in Computational Models of Large Scale Physical Systems https://www.osti.gov/servlets/purl/1641505 Publication ID: 70287

Gianluca Geraci, Michael Eldred, Alex Gorodetsky, John Jakeman, (2019). Recent Advancements for Multifidelity UQ and OUU in Dakota: Capability Overview and Perspectives https://www.osti.gov/servlets/purl/1641419 Publication ID: 70164

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2019). Experience with Multilevel/Multifidelity/Multi-Index Sampling and Surrogate Approaches for Forward Uncertainty Quantification https://www.osti.gov/servlets/purl/1641388 Publication ID: 70119

Tiernan Casey, Bert Debusschere, Michael Eldred, Gianluca Geraci, Roger Ghanem, John Jakeman, Youssef Marzouk, Habib Najm, Cosmin Safta, Khachik Sargsyan, (2019). FASTMath: UQ Algorithms https://www.osti.gov/servlets/purl/1641088 Publication ID: 69621

Habib Najm, Cosmin Safta, Xun Huan, Tiernan Casey, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Michael Eldred, Gianluca Geraci, (2019). Uncertainty Quantification in Large Scale Computational Models https://www.osti.gov/servlets/purl/1641089 Publication ID: 69622

Michael Eldred, (2019). Advanced UQ Methods in Dakota https://www.osti.gov/servlets/purl/1645509 Publication ID: 69486

Michael Eldred, (2019). Multifidelity Modeling Workshop Panel Session: User Stories Success Cases and Target Areas https://www.osti.gov/servlets/purl/1645443 Publication ID: 69288

Myra Blaylock, Brent Houchens, A. Frankel, David Maniaci, Thomas Herges, Gianluca Geraci, Michael Eldred, Robert Knaus, Philip Sakievich, (2019). Comparison of Field Measurements and Large Eddy Simulations of the Scaled Wind Farm Technology (SWiFT) Site https://doi.org/10.1115/AJKFluids2019-5493 Publication ID: 68689

Gianluca Geraci, Alex Gorodetsky, Michael Eldred, John Jakeman, (2019). Recent advancements toward generalized sampling strategies for multifidelity Uncertainty Quantification https://www.osti.gov/servlets/purl/1644568 Publication ID: 67615

Gianluca Geraci, Friedrich Menhorn, Xun Huan, Cosmin Safta, Youssef Marzouk, Habib Najm, Michael Eldred, (2019). Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFire Configuration https://www.osti.gov/servlets/purl/1582123 Publication ID: 64163

Gianluca Geraci, Michael Eldred, Alex Gorodetsky, John Jakeman, (2019). Recent advancements in Multilevel-Multifidelity techniques for forward UQ in the DARPA Sequoia project https://doi.org/10.2514/6.2019-0722 Publication ID: 64164

Habib Najm, Roger Ghanem, Michael Eldred, (2018). Design Optimization under Uncertainty in Large Scale Computational Models https://www.osti.gov/servlets/purl/1594692 Publication ID: 60189

Cosmin Safta, Gianluca Geraci, Michael Eldred, Habib Najm, David Riegner, Wolfgang Windl, (2018). Interatomic Potentials Models for Cu-Ni and Cu-Zr Alloys https://doi.org/10.2172/1475252 Publication ID: 59193

Gianluca Geraci, Michael Eldred, (2018). Leveraging Intrinsic Principal Directions for Multifidelity Uncertainty Quantification https://doi.org/10.2172/1475254 Publication ID: 59205

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2018). Lecture 1: Multilevel-Multifidelity with Monte Carlo Sampling; Algorithms and deployment experience https://www.osti.gov/servlets/purl/1582192 Publication ID: 63755

Cosmin Safta, Xun Huan, Habib Najm, Khachik Sargsyan, Michael Eldred, Gianluca Geraci, (2018). Adaptive Sparse Quadrature for Multifidelity Scramjet Simulations https://www.osti.gov/servlets/purl/1569685 Publication ID: 63078

John Jakeman, Troy Butler, Michael Eldred, Gianluca Geraci, Alex Gorodetsky, Timothy Wildey, (2018). Adaptive multi-index collocation for quantifying uncertainty https://www.osti.gov/servlets/purl/1806541 Publication ID: 63211

Gianluca Geraci, Michael Eldred, Gianluca Iaccarino, (2018). MULTILEVEL /MULTIFIDELITY MONTE CARLO FOR WAVE PROPAGATION IN HETEROGENEOUS MEDIA https://www.osti.gov/servlets/purl/1525626 Publication ID: 61698

David Maniaci, A. Frankel, Gianluca Geraci, Myra Blaylock, Michael Eldred, (2018). Multi-level Uncertainty Quantification of a Wind Turbine Large Eddy Simulation Model https://www.osti.gov/servlets/purl/1525640 Publication ID: 61737

Cosmin Safta, Xun Huan, Khachik Sargsyan, Habib Najm, Michael Eldred, Gianluca Geraci, (2018). Sparse multifidelity approximations for forward UQ https://www.osti.gov/servlets/purl/1510682 Publication ID: 61747

Gianluca Geraci, Alex Gorodetsky, Michael Eldred, John Jakeman, (2018). TOWARDS LEVERAGING ACTIVE DIRECTION FOR EFFICIENT MULTIFIDELITY UQ STRATEGIES https://www.osti.gov/servlets/purl/1525631 Publication ID: 61779

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2018). Adaptive Refinement Strategies for Multilevel Polynomial Chaos Expansions https://www.osti.gov/servlets/purl/1575179 Publication ID: 61666

Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2018). Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations AIAA Journal https://doi.org/10.2514/1.J056278 Publication ID: 57736

Habib Najm, Bert Debusschere, Neil Sparks, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael Eldred, Gianluca Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2018). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? https://www.osti.gov/servlets/purl/1572447 Publication ID: 60908

Cosmin Safta, Xun Huan, Gianluca Geraci, Michael Eldred, Khachik Sargsyan, Zachary Vane, Joseph Oefelein, Habib Najm, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://www.osti.gov/servlets/purl/1513486 Publication ID: 58676

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2018). Multilevel-Multifidelity Approaches for Forward UQ in the DARPA SEQUOIA Project https://www.osti.gov/servlets/purl/1513488 Publication ID: 58681

Xun Huan, Cosmin Safta, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2018). Global sensitivity analysis and estimation of model error, toward uncertainty quantification in scramjet computations AIAA Journal https://doi.org/10.2514/1.J056278 Publication ID: 60730

Alex Gorodetsky, Gianluca Geraci, Michael Eldred, John Jakeman, (2018). Multifidelity Model Management using Latent Variable Bayesian Networks https://www.osti.gov/servlets/purl/1513639 Publication ID: 58728

Xun Huan, Gianluca Geraci, Zachary Vane, Cosmin Safta, Michael Eldred, Joseph Oefelein, Habib Najm, Khachik Sargsyan, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://doi.org/10.2514/6.2018-1180 Publication ID: 58547

Xun Huan, Gianluca Geraci, Cosmin Safta, Michael Eldred, Khachik Sargsyan, Zachary Vane, Joseph Oefelein, Habib Najm, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://doi.org/10.2514/6.2018-1180 Publication ID: 58602

Cosmin Safta, Xun Huan, Michael Eldred, Gianluca Geraci, (2017). Tackling High-Dimensionality and Computational Cost in Scramjet LES https://www.osti.gov/servlets/purl/1511975 Publication ID: 54657

Michael Eldred, Gianluca Geraci, Friedrich Menhorn, Youssef Marzouk, (2017). Tutorial on Optimization Under Uncertainty with Application to Scramjet Design https://www.osti.gov/servlets/purl/1488337 Publication ID: 54673

Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael Eldred, G. Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2017). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine https://www.osti.gov/servlets/purl/1574094 Publication ID: 58225

John Jakeman, Alex Gorodetsky, Michael Eldred, (2017). Tractable Uncertainty Quantification: Exploiting Structure https://www.osti.gov/servlets/purl/1466103 Publication ID: 58076

Gianluca Geraci, Alex Gorodetsky, John Jakeman, Michael Eldred, (2017). Sampling Polynomial Chaos and Functional Tensor Train Multilevel/Multifidelity Strategies for Forward UQ https://www.osti.gov/servlets/purl/1507076 Publication ID: 57348

Michael Eldred, Gianluca Geraci, Alex Gorodetsky, John Jakeman, (2017). Multilevel-Multifidelity Expansions with Application to Forward UQ OUU and Emulator-Based Bayesian Inference https://www.osti.gov/servlets/purl/1507501 Publication ID: 57417

Irina Tezaur, John Jakeman, Michael Eldred, Mauro Perego, Stephen Price, Andrew Salinger, (2017). Large-scale Deterministic Inversion and Bayesian Calibration in Land-Ice Modeling https://www.osti.gov/servlets/purl/1460158 Publication ID: 57170

Michael Eldred, Leo Ng, Matthew Barone, Stefan Domino, (2017). Multifidelity uncertainty quantification using spectral stochastic discrepancy models Handbook of Uncertainty Quantification https://www.osti.gov/biblio/1191876 Publication ID: 42475

Michael Eldred, Jason Monschke, John Jakeman, Gianluca Geraci, (2017). Multilevel-Multifidelity Approaches for Uncertainty Quantification and Design https://www.osti.gov/servlets/purl/1455372 Publication ID: 56819

Xun Huan, Cosmin Safta, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Khachik Sargsyan, Habib Najm, (2017). Robust Compressive Sensing with Application to Multifidelity Analysis of Complex Turbulent Flows https://www.osti.gov/servlets/purl/1427446 Publication ID: 55202

Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2017). Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design https://doi.org/10.2514/6.2017-1089 Publication ID: 52795

Gianluca Geraci, Michael Eldred, Gianluca Iaccarino, (2017). A multifidelity multilevel Monte Carlo method for uncertainty propagation in aerospace applications 19th AIAA Non-Deterministic Approaches Conference, 2017 https://www.osti.gov/servlets/purl/1505910 Publication ID: 54856

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, John Jakeman, Michael Eldred, Jerry Watkins, Stephen Price, Irina Demeshko, (2017). The Albany/FELIX Land-Ice Dynamical Core https://www.osti.gov/servlets/purl/1416697 Publication ID: 52719

Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2016). Global Sensitivity Analysis and Quantification of Model Form Error for Large Eddy Simulation of Scramjet Design https://www.osti.gov/servlets/purl/1413414 Publication ID: 48116

Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael Eldred, Gianluca Geraci, Omar Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? https://www.osti.gov/servlets/purl/1420843 Publication ID: 47626

Jason Monschke, Michael Eldred, (2016). Multilevel-Multifidelity Acceleration of PDE-Constrained Optimization https://doi.org/10.2514/6.2017-0132 Publication ID: 47353

Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael Eldred, G. Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Augustin, F. Menhorn, R. Ghanem, P. Tsilifis, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine https://www.osti.gov/servlets/purl/1397105 Publication ID: 52534

Xun Huan, Cosmin Safta, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Khachik Sargsyan, Habib Najm, (2016). Global Sensitivity Analysis for Large Eddy Simulation Models https://www.osti.gov/servlets/purl/1372012 Publication ID: 51034

Jason Monschke, Michael Eldred, (2016). A Second-Order Consistent Multilevel-Multifidelity Optimization Scheme https://www.osti.gov/servlets/purl/1507246 Publication ID: 49746

Irina Tezaur, John Jakeman, Michael Eldred, Mauro Perego, Andrew Salinger, Stephen Price, (2016). Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models https://www.osti.gov/servlets/purl/1364846 Publication ID: 49071

Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Michael Eldred, Omar Knio, G. Scovazzi, Y. Marzouk, R. Ghanem, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine https://www.osti.gov/servlets/purl/1530652 Publication ID: 49101

Mauro Perego, S. Price, G. Stadler, Andrew Salinger, Irina Tezaur, Michael Eldred, John Jakeman, (2016). Towards Uncertainty Quantification in 21st Century SeaLevel Rise Predictions: PDE Constrained Optimization as a First Step in Bayesian Calibration and Forward Propagation https://www.osti.gov/servlets/purl/1366599 Publication ID: 49124

Mauro Perego, Michael Eldred, John Jakeman, Andrew Salinger, Irina Tezaur, Stephen Price, Matthew Hoffman, (2016). Towards quantifying uncertainty in Greenland’s contribution to 21st century sea-level rise https://www.osti.gov/servlets/purl/1339212 Publication ID: 46654

Irina Tezaur, Andrew Salinger, Mauro Perego, John Jakeman, Michael Eldred, Irina Demeshko, Raymond Tuminaro, Stephen Price, (2015). Albany/FELIX: A Robust & Scalable Trilinos-Based Finite-Element Ice Flow Dycore Built for Advanced Architectures & Analysis https://www.osti.gov/servlets/purl/1301963 Publication ID: 44874

Laura Swiler, Michael Eldred, Brian Adams, (2015). Uncertainty Quantification Methods in the Dakota Toolkit https://www.osti.gov/biblio/1331537 Publication ID: 45288

Michael Eldred, Bert Debusschere, Kamaljit Chowdhary, John Jakeman, Prashant Rai, Cosmin Safta, Khachik Sargsyan, (2015). Sandia Software Enabling Extreme-Scale Uncertainty Quantification https://www.osti.gov/servlets/purl/1266821 Publication ID: 44419

Irina Tezaur, Mauro Perego, Raymond Tuminaro, Andrew Salinger, John Jakeman, Michael Eldred, Lili Ju, Tong Zhang, Max Gunzburger, Stephen Price, (2015). Progress on the PISCEES FELIX Ice Sheet Dynamical Cores https://www.osti.gov/servlets/purl/1576124 Publication ID: 44422

J. Jakeman, Michael Eldred, Khachik Sargsyan, (2015). Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection Journal of Computational Physics https://www.osti.gov/biblio/1182997 Publication ID: 37936

Michael Eldred, Patrick Heimbach, Charles Jackson, John Jakeman, Mauro Perego, Stephen, Price, Andrew Salinger, Georg Stadler, Irina Tezaur, (2015). From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in Ice Sheet Modeling https://www.osti.gov/servlets/purl/1246877 Publication ID: 42859

Mauro Perego, Stephen Price, Georg Stadler, Michael Eldred, Charles Jackson, John Jakeman, Andrew Salinger, Irina Tezaur, (2015). Advances in Ice Sheet Model Initialization Using the First Order Model https://www.osti.gov/servlets/purl/1245907 Publication ID: 42508

Michael Eldred, Laura Swiler, Brian Adams, J. Jakeman, (2015). Overview of selected DOE/NNSA predictive science initiatives: The predictive science academic alliance program and the DAKOTA project 53rd AIAA Aerospace Sciences Meeting https://doi.org/10.2514/6.2015-0500 Publication ID: 39970

Cosmin Safta, Khachik Sargsyan, Habib Najm, Kenny Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2015). Probabilistic methods for sensitivity analysis and calibration in the NASA challenge problem Journal of Aerospace Information Systems https://doi.org/10.2514/1.I010256 Publication ID: 40146

Michael Eldred, Bert Debusschere, Kamaljit Chowdhary, John Jakeman, Habib Najm, Cosmin Safta, Khachik Sargsyan, (2014). Sandia Software Enabling Extreme-Scale Uncertainty Quantification https://www.osti.gov/servlets/purl/1494264 Publication ID: 37782

Habib Najm, Michael Eldred, Bert Debusschere, Kamaljit Chowdhary, John Jakeman, Cosmin Safta, Khachik Sargsyan, (2014). An Overview of Select UQ Algorithms and their Utility in Applications https://www.osti.gov/servlets/purl/1494413 Publication ID: 37818

Michael Eldred, (2014). Building on the Foundation: Optimization Under Uncertainty and Related Topics https://www.osti.gov/servlets/purl/1496693 Publication ID: 37613

Michael Eldred, Richard Field, (2014). Introduction to Uncertainty Analysis https://www.osti.gov/servlets/purl/1497456 Publication ID: 37446

Matthew Barone, Michael Eldred, (2014). Multi-Fidelity Uncertainty Quantification: Application to a Vertical Axis Wind Turbine Under an Extreme Gust https://www.osti.gov/servlets/purl/1315382 Publication ID: 41179

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis : https://doi.org/10.2172/1177077 Publication ID: 41017

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual https://doi.org/10.2172/1177048 Publication ID: 40814

Michael Eldred, Timothy Wildey, Kevin Dowding, (2014). Advanced UQ/QMU Methods for Abnormal Thermal Safety Studies https://www.osti.gov/servlets/purl/1692314 Publication ID: 40175

Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2014). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 36802

Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2013). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 31866

Michael Eldred, John Jakeman, Timothy Wildey, (2013). Deployment of Scalable UQ Methods for High-Fidelity Simulation-based Applications within the DOE https://www.osti.gov/servlets/purl/1673675 Publication ID: 36511

John Jakeman, Michael Eldred, (2013). Constructing Polynomial Chaos Expansions via Compressed Sensing and Cross Validation https://www.osti.gov/servlets/purl/1106456 Publication ID: 34737

Brian Adams, Michael Eldred, Laura Swiler, (2013). Dakota: Advanced Exploration of Simulations https://www.osti.gov/servlets/purl/1660832 Publication ID: 33095

Andrew Salinger, Irina Tezaur, Mauro Perego, Raymond Tuminaro, Michael Eldred, John Jakeman, (2013). Rapid Development of an Ice Sheet Climate Application using the Components-Based Approach https://www.osti.gov/servlets/purl/1661056 Publication ID: 33356

Mauro Perego, Michael Eldred, Andrew Salinger, Irina Tezaur, (2013). FELIX: advances in modeling forward and inverse icesheet problems https://www.osti.gov/biblio/1073162 Publication ID: 32901

Michael Eldred, Stefan Domino, Matthew Barone, John Jakeman, (2013). Advances in UQ Algorithms for Wind Energy Applications https://www.osti.gov/biblio/1062946 Publication ID: 31642

V. Weirs, James Kamm, Laura Swiler, Stefano Tarantola, Marco Ratto, Brian Adams, William Rider, Michael Eldred, (2012). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws Reliability Engineering and System Safety https://www.osti.gov/biblio/1021143 Publication ID: 19071

Habib Najm, Bert Debusschere, Michael Eldred, (2012). Quantification of Uncertainty in Extreme Scale Computations (QUEST) https://www.osti.gov/biblio/1073262 Publication ID: 29902

Habib Najm, Khachik Sargsyan, Cosmin Safta, Bert Debusschere, John Jakeman, Michael Eldred, (2012). Sparse Polynomial Representations of High Dimensional Models https://www.osti.gov/biblio/1073443 Publication ID: 28932

John Jakeman, Timothy Wildey, Michael Eldred, (2012). Adaptive sparse grids for uncertainty quantication Enhancing approximations using a posteriori error estimation https://www.osti.gov/biblio/1073416 Publication ID: 29105

Michael Eldred, Timothy Wildey, (2012). Propagation of model form uncertainty for thermal hydraulics using RANS turbulence models in Drekar https://doi.org/10.2172/1051699 Publication ID: 29125

Brian Adams, Laura Swiler, Michael Eldred, (2012). Practical UQ for Engineering Applications with DAKOTA https://www.osti.gov/servlets/purl/1117563 Publication ID: 27403

Habib Najm, Bert Debusschere, Michael Eldred, Cosmin Safta, John Jakeman, (2012). Quantification of Uncertainty in Extreme Scale Computations (QUEST) https://www.osti.gov/servlets/purl/1078675 Publication ID: 27011

Matthew Barone, Stefan Domino, Michael Eldred, (2012). Large-Scale Uncertainty and Error Analysis for Time-dependent Fluid/Structure Interactions in Wind Turbine Applications: Summary of Advances in Algorithm Research and Deployment https://www.osti.gov/biblio/1068478 Publication ID: 27032

Eric Phipps, Michael Eldred, (2012). Scalable Collocation Methods using a Combination of Krylov Basis Recycling and Adjoint Enhancement https://www.osti.gov/servlets/purl/1145285 Publication ID: 26731

Brian Adams, William Bohnhoff, Keith Dalbey, John Eddy, Michael Eldred, Patricia Hough, Sophia Lefantzi, Laura Swiler, Dena Vigil, (2011). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis https://doi.org/10.2172/1031910 Publication ID: 25582

Habib Najm, Bert Debusschere, Michael Eldred, (2011). Quantification of Uncertainty in Extreme Scale Computations (QUEST) https://www.osti.gov/servlets/purl/1111617 Publication ID: 25335

Michael Eldred, (2011). Uncertainty Quantification Tutorial for Computer Scientists https://www.osti.gov/servlets/purl/1118483 Publication ID: 24991

Michael Eldred, (2011). Investigation of advanced UQ for CRUD prediction with VIPRE https://doi.org/10.2172/1029759 Publication ID: 24673

Habib Najm, Bert Debusschere, Michael Eldred, (2011). Quantification of Uncertainty in Extreme Scale Computations (QUEST) https://www.osti.gov/servlets/purl/1663334 Publication ID: 24484

Michael Eldred, (2011). Overview of Uncertainty Quantification Algorithm R&D in the DAKOTA Project https://www.osti.gov/servlets/purl/1661848 Publication ID: 23917

Laura Swiler, Michael Eldred, (2011). Reliability Methods: Determining small failure probabilities https://www.osti.gov/servlets/purl/1106872 Publication ID: 24062

Laura Swiler, Michael Eldred, (2011). "Mixed" Epistemic-Aleatory UQ using Stochastic Expansion methods https://www.osti.gov/servlets/purl/1120319 Publication ID: 23188

Habib Najm, Bert Debusschere, Michael Eldred, Eric Phipps, (2011). SciDAC Institute QUEST (Quantification of Uncertainty in Extreme Scale Computations) https://www.osti.gov/servlets/purl/1671447 Publication ID: 22509

Brian Adams, Michael Eldred, Laura Swiler, (2011). Managing Complexity in Simulation-Based Uncertainty Quantification https://www.osti.gov/biblio/1120645 Publication ID: 22021

Brian Adams, Michael Eldred, (2011). Advanced Uncertainty Quantification for Optimization under Uncertainty https://www.osti.gov/servlets/purl/1120636 Publication ID: 21815

Michael Eldred, (2011). Overview of DAKOTA Project (from the software perspective) https://www.osti.gov/servlets/purl/1671959 Publication ID: 21180

V. Weirs, James Kamm, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1035999 Publication ID: 21030

V. Weirs, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1035611 Publication ID: 20964

James Kamm, V. Weirs, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). A Sensitivity Analysis of the Gas Dynamics Equations https://www.osti.gov/servlets/purl/1121790 Publication ID: 20131

V. Weirs, James Kamm, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1027079 Publication ID: 20037

V. Weirs, Laura Swiler, Brian Adams, James Kamm, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws. Part I https://www.osti.gov/biblio/1021144 Publication ID: 19070

William Proctor, Laura Swiler, Michael Eldred, (2010). Global sensitivity analysis https://www.osti.gov/biblio/1020435 Publication ID: 18552

Michael Eldred, (2010). UQ Algorithm Research and Advanced Deployment within the DAKOTA Project https://www.osti.gov/servlets/purl/1678860 Publication ID: 18685

Eric Phipps, Roger Pawlowski, John Red-Horse, Rodney Schmidt, Michael Eldred, (2010). Mathematical and computational tools for predictive simulation of complex coupled systems under uncertainty https://www.osti.gov/biblio/1012752 Publication ID: 18202

Michael Eldred, (2010). Numerical approach for quanti?cation of epistemic uncertainty Journal of Computational Physics https://www.osti.gov/biblio/1123720 Publication ID: 18281

Michael Eldred, (2010). Reliability-based design optimization using efficient global reliability analysis https://www.osti.gov/biblio/1013231 Publication ID: 18282

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user’s manual https://doi.org/10.2172/991842 Publication ID: 17823

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user’s reference manual https://doi.org/10.2172/991841 Publication ID: 17824

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, developers manual https://doi.org/10.2172/991840 Publication ID: 17825

Laura Swiler, Michael Eldred, Brian Adams, (2010). Uncertainty Quantification: Lecture for TEDS CLASS ESP700 https://www.osti.gov/servlets/purl/1694488 Publication ID: 17563

Michael Eldred, Laura Swiler, (2010). Mixed Aleatory-Epistemic Uncertainty Quantification with Stochastic Expansions and Optimization-Based Interval Estimation Reliability Engineering and System Safety https://www.osti.gov/biblio/1114165 Publication ID: 17613

Michael Eldred, Laura Swiler, (2009). Efficient algorithms for mixed aleatory-epistemic uncertainty quantification with application to radiation-hardened electronics. Part I, algorithms and benchmark results https://doi.org/10.2172/972887 Publication ID: 16708

Michael Eldred, (2009). Recent advances in non-intrusive polynomial chaos and stochastic collocation methods for uncertainty analysis and design Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference https://www.osti.gov/servlets/purl/1141730 Publication ID: 16169

Brian Adams, Laura Swiler, Michael Eldred, (2009). DAKOTA Training 2008: Optimization and Calibration https://www.osti.gov/servlets/purl/1696903 Publication ID: 15683

Eric Phipps, Michael Eldred, Andrew Salinger, (2008). LDRD Final Report: Capabilities for Uncertainty in Predictive Science https://doi.org/10.2172/1130397 Publication ID: 14975

Michael Eldred, (2008). Specifying and Reading Program Input with NIDR https://www.osti.gov/servlets/purl/1142620 Publication ID: 14984

Laura Swiler, Brian Adams, Michael Eldred, (2008). Model Calibration under Uncertainty: Matching Distribution Information Presentation https://www.osti.gov/servlets/purl/1142385 Publication ID: 14753

Michael Eldred, Clayton Webster, (2008). Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos https://www.osti.gov/servlets/purl/1145845 Publication ID: 13185

Daniel Dunlavy, Michael Eldred, (2007). Formulations for Surrogate-Based Optimization Using Data Fit and Multifidelity Models https://www.osti.gov/servlets/purl/1143351 Publication ID: 8954

Michael Eldred, James Stewart, (2006). Solution Verification and Uncertainty Quantification Coupled https://www.osti.gov/servlets/purl/1724649 Publication ID: 8211

Brian Adams, Jonathan Wittwer, Barron Bichon, Brian Carnes, Kevin Copps, Michael Eldred, Matthew Hopkins, David Neckels, Patrick Notz, Samuel Subia, (2006). Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity https://doi.org/10.2172/896282 Publication ID: 8077

Laura Swiler, Anthony Giunta, William Hart, Jean-Paul Watson, John Eddy, Joshua Griffin, Patricia Hough, Tamara Kolda, Monica Martinez-Canales, Pamela Williams, Michael Eldred, Shannon Brown, Brian Adams, Daniel Dunlavy, (2006). DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers’s manual https://doi.org/10.2172/895703 Publication ID: 8092

Laura Swiler, Anthony Giunta, Michael Eldred, Brian Adams, Vicente Romero, Monica Martinez-Canales, (2006). DAKOTA and its use in Computational Experiments https://www.osti.gov/servlets/purl/1264108 Publication ID: 8161

Anthony Giunta, Laura Swiler, Shannon Brown, Michael Eldred, (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data https://www.osti.gov/servlets/purl/1266128 Publication ID: 7913

Michael Eldred, Jonathan Wittwer, (2006). Reliability-Based Design Optimization for Shape Design of Compliant Micro-Electro-Mechanical Systems https://www.osti.gov/servlets/purl/1264729 Publication ID: 7926

Barron Bichon, Michael Eldred, Laura Swiler, John McFarland, (2006). Multimodal Reliability Assessment for Complex Engineering Applications using Sequential Kriging Optimization https://www.osti.gov/servlets/purl/1264585 Publication ID: 7747

Laura Swiler, Shannon Brown, Michael Eldred, (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data https://www.osti.gov/servlets/purl/1266127 Publication ID: 7842

Anthony Giunta, Michael Eldred, Laura Swiler, (2006). The DAKOTA Toolkit and its use in Computational Experiments https://www.osti.gov/servlets/purl/1264111 Publication ID: 7655

Michael Eldred, (2006). 1411 Department Review 2006 https://www.osti.gov/servlets/purl/1729809 Publication ID: 7303

Anthony Giunta, Laura Swiler, Shannon Brown, Michael Eldred, Mark Richards, Eric Cyr, (2006). The surfpack software library for surrogate modeling of sparse irregularly spaced multidimensional data Collection of Technical Papers – 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference https://www.osti.gov/biblio/943891 Publication ID: 6871

Anthony Giunta, Michael Eldred, Laura Swiler, Timothy Trucano, (2005). Perspectives on optimization under uncertainty: Algorithms and applications https://www.osti.gov/biblio/947287 Publication ID: 4431

Anthony Giunta, Laura Swiler, Michael Eldred, (2005). The promise and peril of uncertainty quantification using response surface approximations Proposed for publication in Structure and Infrastructure Engineering. https://www.osti.gov/biblio/884754 Publication ID: 6027

Joseph Castro, Patricia Hough, Genetha Gray, Michael Eldred, (2005). Multifidelity modeling approaches in simulation simulation–based optimization based optimization https://www.osti.gov/biblio/1145132 Publication ID: 5131

Michael Eldred, (2005). Investigation of reliability method formulations in Dakota/UQ Proposed for publication Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance. https://www.osti.gov/biblio/989370 Publication ID: 4938

Anthony Giunta, Laura Swiler, Michael Eldred, William Hart, Cynthia Phillips, Jean-Paul Watson, (2005). Optimization under uncertainty research and applications at Sandia National Laboratories https://www.osti.gov/biblio/943858 Publication ID: 4432

Michael Eldred, Michael Eldred, (2004). An RSQP for a single-level reliability optimization https://www.osti.gov/biblio/952821 Publication ID: 3117

Victor Pérez, Michael Eldred, John Renaud, (2004). Solving the infeasible trust-region problem using approximations Collection of Technical Papers – 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference https://www.osti.gov/biblio/957262 Publication ID: 3242

Anthony Giunta, Anthony Giunta, Steven Wojtkiewicz, Michael Eldred, (2003). Overview of modern design of experiments methods for computational simulations https://www.osti.gov/biblio/913526 Publication ID: 1712

Michael Eldred, Anthony Giunta, Bart van Bloemen Waanders, Steven Wojtkiewicz, William Hart, (2002). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Developers Manual (title change from electronic posting) https://doi.org/10.2172/798491 Publication ID: 1358

Michael Eldred, Anthony Giunta, Bart van Bloemen Waanders, Steven Wojtkiewicz, William Hart, Anthony Giunta, (2002). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 https://doi.org/10.2172/800774 Publication ID: 1386

Michael Eldred, Anthony Giunta, Bart van Bloemen Waanders, Steven Wojtkiewicz, William Hart, (2001). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual https://doi.org/10.2172/798492 Publication ID: 1359

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