Uncertainty Quantification in Scientific Computing

1. Front Matter

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2. UQ Need: Risk, Policy, and Decision Making

   1. Uncertainties Using Genomic Information for Evidence-Based Decisions

      • Pasky Pascual

      Pages 1-14

   2. Considerations of Uncertainty in Regulatory Decision Making

      • Mark A. Cunningham

      Pages 15-26

   3. An Industrial Viewpoint on Uncertainty Quantification in Simulation: Stakes, Methods, Tools, Examples

      • Alberto Pasanisi, Anne Dutfoy

      Pages 27-45

   4. Living with Uncertainty

      • Patrick Gaffney

      Pages 46-59

   5. Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation

      • Jon C. Helton, Cédric J. Sallaberry

      Pages 60-77

3. UQ Theory

   1. Bayes Linear Analysis for Complex Physical Systems Modeled by Computer Simulators

      • Michael Goldstein

      Pages 78-94

   2. Verified Computation with Probabilities

      • Scott Ferson, Jack Siegrist

      Pages 95-122

   3. Defects, Scientific Computation and the Scientific Method

      • Les Hatton

      Pages 123-138

   4. Parametric and Uncertainty Computations with Tensor Product Representations

      • Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosić, Elmar Zander

      Pages 139-150

4. UQ Tools

   1. Using Emulators to Estimate Uncertainty in Complex Models

      • Peter Challenor

      Pages 151-164

   2. Measuring Uncertainty in Scientific Computation Using Numerica 21’s Test Harness

      • Brian T. Smith

      Pages 165-179

5. UQ Practice

   1. Numerical Aspects in the Evaluation of Measurement Uncertainty

      • Maurice Cox, Alistair Forbes, Peter Harris, Clare Matthews

      Pages 180-194

   2. Model-Based Interpolation, Prediction, and Approximation

      • Antonio Possolo

      Pages 195-211

   3. Uncertainty Quantification for Turbulent Mixing Flows: Rayleigh-Taylor Instability

      • T. Kaman, R. Kaufman, J. Glimm, D. H. Sharp

      Pages 212-225

   4. From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches

      • Kristin Potter, Paul Rosen, Chris R. Johnson

      Pages 226-249

   5. Efficient Computation of Observation Impact in 4D-Var Data Assimilation

      • Alexandru Cioaca, Adrian Sandu, Eric De Sturler, Emil Constantinescu

      Pages 250-264

   6. Interval Based Finite Elements for Uncertainty Quantification in Engineering Mechanics

      • Rafi L. Muhanna, Robert L. Mullen

      Pages 265-279

   7. Reducing the Uncertainty When Approximating the Solution of ODEs

      • Wayne H. Enright

      Pages 280-293

6. Hot Topics

   1. Uncertainties in Predictions of Material Performance Using Experimental Data That Is Only Distantly Related to the System of Interest

      • Wayne E. King, Athanasios Arsenlis, Charles Tong, William L. Oberkampf

      Pages 294-311

This book constitutes the refereed post-proceedings of the 10th IFIP WG 2.5 Working Conference on Uncertainty Quantification in Scientific Computing, WoCoUQ 2011, held in Boulder, CO, USA, in August 2011. The 24 revised papers were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: UQ need: risk, policy, and decision making, UQ theory, UQ tools, UQ practice, and hot topics. The papers are followed by the records of the discussions between the participants and the speaker.

• Bayesian analysis
• modeling
• prediction
• simulation
• software tools

• Information Technology Laboratory, National Institute of Standards and Technology, Boulder, USA

  Andrew M. Dienstfrey

• Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, USA

  Ronald F. Boisvert

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