| Preface | 5 |
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| List of Contributors | 7 |
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| Contents | 9 |
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| Verification (Mostly) for High Energy Density Radiation Transport: Five Case Studies | 11 |
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| 1 Introduction | 11 |
| 2 Case 1: The Marshak Wave | 12 |
| 3 Case 2: Star-in-Space Problem | 15 |
| 4 Case 3: The Radiating Shock Problem | 18 |
| 5 Case 4: The Crooked Pipe | 22 |
| 6 Case 5: Angle, Angles, Angles | 23 |
| 7 Conclusion | 25 |
| Acknowledgments | 26 |
| References | 26 |
| A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics | 29 |
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| 1 Introduction: Our Position with Respect to Previous Work on Validation and Related Concepts | 29 |
| 2 Validation as a Constructive Iterative Process | 42 |
| 3 Desirable Properties of the Multiplier of the Validation Step | 48 |
| 4 Practical Guidelines for Determining p/q and cnovel | 51 |
| 5 Illustration with the Development of Quantum Mechanics | 53 |
| 6 Three Examples Drawn from the Authors Research Interests | 55 |
| 7 Summary | 63 |
| Acknowledgments | 64 |
| Appendix: A More Formal Look at the Role of Validation in the Modeling Enterprise | 64 |
| References | 76 |
| Spectral Solvers to Non-Conservative Transport for Non- Linear Interactive Systems of Boltzmann Type | 85 |
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| 1 Introduction | 85 |
| 2 The Non-Linear Boltzmann Equation for Binary Particle Interactions | 87 |
| 3 Numerical Method and Discretization | 97 |
| 4 Numerical Results | 101 |
| 5 Conclusions and Future Work | 111 |
| Acknowledgments | 111 |
| References | 112 |
| The Art of Analytical Benchmarking | 115 |
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| 1 Introduction | 115 |
| 2 The Theoretical Setting | 117 |
| 3 The Numerical Setting | 120 |
| 4 Mining the Discrete Ordinates Solution | 126 |
| 5 Conclusions | 139 |
| References | 144 |
| Implicit Monte Carlo Radiation Transport Simulations of Four Test Problems | 145 |
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| 1 The Units Used for the Simulations Described in this Work | 145 |
| 2 A Gray Infinite Medium Problem with a Matter Energy Source Allowing an Analytic Answer | 146 |
| 3 A Cube with a Face Source Allowing an Approximate Analytic Answer | 147 |
| 4 Graziani s Spherical Multigroup Prompt Spectrum Test Problem | 149 |
| 5 A Slab Version of Graziani s Prompt Spectrum Test Problem | 156 |
| Acknowledgment | 157 |
| References | 160 |
| The Prompt Spectrum of a Radiating Sphere: Benchmark Solutions for Diffusion and Transport | 161 |
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| 1 Introduction | 161 |
| 2 The Prompt Spectrum: Problem Definition | 163 |
| 3 The Prompt Spectrum: Mathematical Derivation | 164 |
| Acknowledgments | 176 |
| References | 176 |
| Some Verification Problems with Possible Transport Applications | 179 |
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| Introduction | 179 |
| 1 Open Radiation Boundary Test | 179 |
| 2 Spherical Heat Flow Test | 181 |
| 3 Coupled Multi-Temperature Diffusion Test | 183 |
| 4 Conclusion | 184 |
| Acknowledgment | 185 |
| References | 185 |
| Canopy Reflectance Model Benchmarking: RAMI and the ROMC | 187 |
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| 1 The Organisation of RAMI | 188 |
| 2 The RAMI Protocol | 195 |
| 3 The RAMI On-Line Model Checker | 206 |
| 4 Conclusion | 213 |
| Acknowledgments | 213 |
| References | 214 |
| Uncertainty and Sensitivity Analysis for Models of Complex Systems | 217 |
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| 1 Introduction | 217 |
| 2 Characterization of Uncertainty | 218 |
| 3 Generation of Sample | 219 |
| 4 Propagation of Sample Through the Analysis | 222 |
| 5 Presentation of Uncertainty Analysis Results | 223 |
| 6 Determination of Sensitivity Analysis Results | 224 |
| 7 Summary | 230 |
| Acknowledgments | 231 |
| References | 231 |
| A Brief Overview of the State-of-the-Practice and Current Challenges of Solution Verification | 239 |
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| 1 Introduction | 239 |
| 2 The Asymptotic Regime of Convergence | 241 |
| 3 State-of-the-Practice to Verify the Convergence of Solutions | 244 |
| 4 The Grid Convergence Index | 249 |
| 5 Application of Solution Veri.cation to a Finite Element Calculation | 251 |
| 6 Discussion of the Challenges of Code and Solution Verification | 254 |
| 7 Conclusion | 258 |
| Acknowledgments | 259 |
| References | 259 |
| Expert Panel Opinion and Global Sensitivity Analysis for Composite Indicators | 261 |
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| 1 Introduction | 261 |
| 2 Methodological Issues and Uncertainties in Building a Composite Indicator | 264 |
| 3 Case Study: Technology Achievement Index and Expert Opinion | 271 |
| 4 Results | 275 |
| 5 Conclusions and Future Work | 281 |
| References | 283 |
| A Practical Global Sensitivity Analysis Methodology for Multi- Physics Applications | 287 |
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| 1 Introduction | 287 |
| 2 A Global Sensitivity Analysis Methodology | 288 |
| 3 Parameter Screening | 291 |
| 4 Response Surface Analysis | 298 |
| 5 Variance Decomposition | 299 |
| 6 Validating our Sensitivity Analysis Methodology | 304 |
| 7 PSUADE | 306 |
| 8 Summary | 307 |
| Acknowledgment | 308 |
| References | 308 |
| Color Plates | 311 |
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| Editorial Policy | 337 |
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| General Remarks | 338 |
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| Lecture Notes in Computational Science and Engineering | 339 |
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| Monographs in Computational Science and Engineering | 341 |
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| Texts in Computational Science and Engineering | 342 |