Article2004

Building PDE codes to be verifiable and validatable

52 citations0/0 files storedComputing in Science & Engineering

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Scientific Computing and Data Management Mathematical and Computational Methods Software Testing and Debugging Techniques

Abstract

For codes that solve nonlinear partial differential equations (PDEs), powerful methodologies already exist for verification of codes, verification of calculations, and validation (V2V). If computational scientists and engineers are serious about these issues, they will take the responsibility and the relatively little extra effort to design (or modify) their codes so that independent users can confirm V2V.

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1994Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences 1998Verification and Validation in Computational Science and Engineering

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2005Verification and Validation of Agent-based Scientific Simulation Models 2008A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics 2013Probability of loss of assured safety in systems with multiple time-dependent failure modes: Representations with aleatory and epistemic uncertainty 2019Validation in Fluid Dynamics and Related Fields

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