Robust verification of stochastic simulation codes

DOI10.1016/j.jcp.2021.110855OpenAlexW3212854225MaRDI QIDQ2134776

Keith L. Cartwright, Gregg A. Radtke, Andy Huang, Christopher H. Moore, Nevin Martin

Publication date: 3 May 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2021.110855

zbMATH Keywords

verificationconvergenceerror estimationMonte Carlo methodsplasma simulationsolution verification

Mathematics Subject Classification ID

Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Nonparametric inference (62Gxx) Rarefied gas flows, Boltzmann equation in fluid mechanics (76Pxx)

Uses Software

• EMPIRE-PIC
• bootlib

Cites Work

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• Numerical approach to the parallel gradient operator in tokamak scrape-off layer turbulence simulations and application to the GBS code
• Robust verification analysis
• Testing for lack of fit in nonlinear regression
• A convergence proof for Bird's direct simulation Monte Carlo method for the Boltzmann equation
• Review of code and solution verification procedures for computational simulation
• Linear Inversion of Band-Limited Reflection Seismograms
• Robust Tests for the Equality of Variances
• Exact solutions of the Boltzmann equation
• The Convergence Rate of Finite Difference Schemes in the Presence of Shocks
• EMPIRE-PIC: A Performance Portable Unstructured Particle-in-Cell Code
• A Simplex Method for Function Minimization
• Robust Statistics

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