Computational Methods in Transport : Verification and Validation
The focus of this book deals with a cross cutting issue affecting all particle transport algorithms and applications; verification and validation (V&V). In other words, are the equations being solved correctly and are the correct equations being solved? Verification and validation assures a scie...
Zapisane w:
| 1. autor: | |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2008. |
| Seria: | Lecture Notes in Computational Science and Engineering
62 |
| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
L'impression du document génère 335 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Methods in Transport: Verification and Validation, Texte imprimé, 9783540773610 • Computational Methods in Transport: Verification and Validation, Texte imprimé, 9783540870043 |
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| 020 | |a 9783540773627 | ||
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| 082 | |a 530 | ||
| 084 | |a 85A25. 2010 | ||
| 084 | |a 68U20. 2010 | ||
| 084 | |a 65Z05. 2010 | ||
| 100 | 1 | |a Graziani, Frank. | |
| 245 | 1 | 0 | |a Computational Methods in Transport : Verification and Validation |c Frank Graziani, editor. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Computational Science and Engineering |v 62 |x 2197-7100 | |
| 500 | |a L'impression du document génère 335 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. en fin de chapitres | ||
| 505 | 1 | |a Verification (Mostly) for High Energy Density Radiation Transport: Five Case Studies A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics Spectral Solvers to Non-Conservative Transport for Non-Linear Interactive Systems of Boltzmann Type The Art of Analytical Benchmarking Implicit Monte Carlo Radiation Transport Simulations of Four Test Problems The Prompt Spectrum of a Radiating Sphere: Benchmark Solutions for Diffusion and Transport Some Verification Problems with Possible Transport Applications Canopy Reflectance Model Benchmarking: RAMI and the ROMC Uncertainty and Sensitivity Analysis for Models of Complex Systems A Brief Overview of the State-of-the-Practice and Current Challenges of Solution Verification Expert Panel Opinion and Global Sensitivity Analysis for Composite Indicators A Practical Global Sensitivity Analysis Methodology for Multi-Physics Applications | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The focus of this book deals with a cross cutting issue affecting all particle transport algorithms and applications; verification and validation (V&V). In other words, are the equations being solved correctly and are the correct equations being solved? Verification and validation assures a scientist, engineer or mathematician that a simulation code is a mirror of reality and not just an expensive computer game. In this book, we will learn what the astrophysicist, atmospheric scientist, mathematician or nuclear engineer do to assess the accuracy of their code. What convergence studies, what error analysis, what problems do each field use to benchmark and ascertain the accuracy of their transport simulations. Is there a need for new benchmark problems? Are there experiments that can be used to help validate the simulation results? If not, are there new experiments that could address these issues? These are all questions raised in this proceedings of the Second Computational Methods in Transport Workshop | ||
| 650 | |a Théorie du transport |x Modèles mathématiques | ||
| 650 | |a Transfert radiatif |x Modèles mathématiques | ||
| 776 | 0 | |t Computational Methods in Transport: Verification and Validation |b Texte imprimé |z 9783540773610 | |
| 776 | 0 | |t Computational Methods in Transport: Verification and Validation |b Texte imprimé |z 9783540870043 | |
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| 997 | |0 940727 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

