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Python Tools for Reproducible Research on Hyperbolic Problems
January/February 2009 (vol. 11 no. 1)
pp. 19-27
ASCII Text
x 
 
Randall J. LeVeque, "Python Tools for Reproducible Research on Hyperbolic Problems," Computing in Science and Engineering, vol. 11, no. 1, pp. 19-27, January/February, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MCSE.2009.13,
author = {Randall J. LeVeque},
title = {Python Tools for Reproducible Research on Hyperbolic Problems},
journal ={Computing in Science and Engineering},
volume = {11},
number = {1},
issn = {1521-9615},
year = {2009},
pages = {19-27},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2009.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Python Tools for Reproducible Research on Hyperbolic Problems
IS - 1
SN - 1521-9615
SP19
EP27
EPD - 19-27
A1 - Randall J. LeVeque,
PY - 2009
KW - reproducible research
KW - python
KW - finite volume methods
VL - 11
JA - Computing in Science and Engineering
ER -
 
Randall J. LeVeque, University of Washington
Reproducible research in computational science is only possible if the computer codes used to generate published results are distributed and/or archived in a form that can later be used to regenerate the results and can be examined to determine details of the method used. The author discusses some difficulties in achieving this goal and surveys a set of Python tools for facilitating reproducible research on finite volume methods for hyperbolic conservation laws using the Clawpack software.

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Index Terms:
reproducible research, python, finite volume methods
Citation:
Randall J. LeVeque, "Python Tools for Reproducible Research on Hyperbolic Problems," Computing in Science and Engineering, vol. 11, no. 1, pp. 19-27, Jan./Feb. 2009, doi:10.1109/MCSE.2009.13
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