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Comparative analysis of algorithm for solving teaching objectives in four language environments

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dc.contributor.author Gubaidullin A.
dc.contributor.author Georgiev V.
dc.date.accessioned 2018-09-18T20:12:28Z
dc.date.available 2018-09-18T20:12:28Z
dc.date.issued 2015
dc.identifier.issn 0973-4562
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/137565
dc.description.abstract © Research India Publications. In this article, we present the results of comparative analysis of five popular programming languages – three of which are compilable ones(C#, C++, Pascal) and two interpreted languages (Java and Python). Analysis has been performed in the base of comparison of implementation of various algorithms for solving of classical tasks from the discipline called “Computer technology and programming”, as well as the discipline “Programming languages”. Tasks for finding GCD (greatest common divisor) were used, as well as sorting of integral values’ array, search in ordered array of integral values, and substring searching in the string. In addition, we provided indices of read rate and record rate, exemplified by reading array of integers from text fine, as well as recoding array of integers into text file. Comparison has been made according to the following three criteria: finite code length, weigh of executable file, program execution time at various tests. For illustrative purposes, obtained results are shown in diagrams with clarifications and summary results.
dc.relation.ispartofseries International Journal of Applied Engineering Research
dc.subject Comparative analysis
dc.subject Program engineering
dc.subject Programming languages
dc.title Comparative analysis of algorithm for solving teaching objectives in four language environments
dc.type Article
dc.relation.ispartofseries-issue 24
dc.relation.ispartofseries-volume 10
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 44764
dc.source.id SCOPUS09734562-2015-10-24-SID84955593782


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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