Python']Python Tools for Reproducible Research on Hyperbolic Problems

被引：11

作者：

LeVeque, Randall J. ^{[1
]}

机构：

[1] Univ Washington, Seattle, WA 98195 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2009年 / 11卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/MCSE.2009.13

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Reproducible research in computational science is only possible if scientists distribute the computer codes they used to generate their published results or archive them in such a way that other researchers can later examine them. The author describes some difficulties in achieving this goal, along with a set of Python tools for facilitating reproducible research on finite volume methods.

引用

页码：19 / 27

页数：9

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