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Issue No. 04 - July/August (2012 vol. 14)
ISSN: 1521-9615
pp: 13-17
Ian M. Mitchell , Univ. of British Columbia, Vancouver, BC, Canada
Randall J. LeVeque , Univ. of Washington, Seattle, WA, USA
ABSTRACT
This article considers the obstacles involved in creating reproducible computational research as well as some efforts and approaches to overcome them.
INDEX TERMS
Hidden Markov models, Research and development, Scientific computing, Computational complexity, Reproducibility of results, computational science and engineering, Hidden Markov models, Research and development, Scientific computing, Computational complexity, Reproducibility of results, scientific computing, reproducible research, data and code disclosure, reproducibility
CITATION
Ian M. Mitchell, Randall J. LeVeque, Victoria Stodden, "Reproducible research for scientific computing: Tools and strategies for changing the culture", Computing in Science & Engineering, vol. 14, no. , pp. 13-17, July/August 2012, doi:10.1109/MCSE.2012.38
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