Computational Methods in Transport: Verification and Validation

Computational Methods in Transport: Verification and Validation edited by Frank Graziani.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Graziani, Frank (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Lecture Notes in Computational Science and Engineering, 62
Springer eBook Collection.
Subjects:
Physics.
Computers.
Computer mathematics.
Mathematical physics.
Astrophysics.
Applied mathematics.
Engineering mathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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