Hierarchical Domain Representation in the AlgoWiki Encyclopedia: From Problems to Implementations
Algorithm description is the basic unit in the AlgoWiki Open Encyclopedia of Algorithmic Features. However, computational algorithms are not objectives in and of themselves: they are needed to address problems encountered in various fields of science and industry. On the other hand, there are many p...
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Published in | Parallel Computational Technologies Vol. 910; pp. 3 - 15 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2018
Springer International Publishing |
Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783319996721 331999672X |
ISSN | 1865-0929 1865-0937 |
DOI | 10.1007/978-3-319-99673-8_1 |
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Summary: | Algorithm description is the basic unit in the AlgoWiki Open Encyclopedia of Algorithmic Features. However, computational algorithms are not objectives in and of themselves: they are needed to address problems encountered in various fields of science and industry. On the other hand, there are many practical problems that can be tackled using various methods. This warrants the introduction of another basic term that fits between the concepts of a problem and an algorithm. Also, any algorithm can have different implementations, whether related to a single computing platform or to different platforms. The “problem–method–algorithm–implementation” chain is the basis for describing any subject area in AlgoWiki. This paper describes the permitted freedom in describing such chains, which arises when studying the approaches to address various practical problems. |
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Bibliography: | The results described in Sects. 2–5 were obtained at Lomonosov Moscow State University with the financial support of the Russian Science Foundation (agreement № 14-11-00190). The research was carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University. |
ISBN: | 9783319996721 331999672X |
ISSN: | 1865-0929 1865-0937 |
DOI: | 10.1007/978-3-319-99673-8_1 |