Python for Scientific Computing Education: Modeling of Queueing Systems

Python for Scientific Computing Education: Modeling of Queueing Systems

In this paper, we present the methodology for the introduction to scientific computing based on model-centered learning. We propose multiphase queueing systems as a basis for learning objects. We use Python and parallel programming for implementing the models and present the computer code and result...

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Main Authors: Vladimiras Dolgopolovas, Valentina Dagienė, Saulius Minkevičius, Leonidas Sakalauskas
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.3233/SPR-140377
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spelling doaj-0fd7fda332544995996f0735bec94a5f2021-07-02T03:19:40ZengHindawi LimitedScientific Programming1058-92441875-919X2014-01-01221375110.3233/SPR-140377Python for Scientific Computing Education: Modeling of Queueing SystemsVladimiras Dolgopolovas0Valentina Dagienė1Saulius Minkevičius2Leonidas Sakalauskas3Informatics Methodology Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, LithuaniaInformatics Methodology Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, LithuaniaOperational Research Sector at System Analysis Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, LithuaniaOperational Research Sector at System Analysis Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, LithuaniaIn this paper, we present the methodology for the introduction to scientific computing based on model-centered learning. We propose multiphase queueing systems as a basis for learning objects. We use Python and parallel programming for implementing the models and present the computer code and results of stochastic simulations.http://dx.doi.org/10.3233/SPR-140377
collection DOAJ
language English
format Article
sources DOAJ
author Vladimiras Dolgopolovas
Valentina Dagienė
Saulius Minkevičius
Leonidas Sakalauskas
spellingShingle Vladimiras Dolgopolovas
Valentina Dagienė
Saulius Minkevičius
Leonidas Sakalauskas
Python for Scientific Computing Education: Modeling of Queueing Systems
Scientific Programming
author_facet Vladimiras Dolgopolovas
Valentina Dagienė
Saulius Minkevičius
Leonidas Sakalauskas
author_sort Vladimiras Dolgopolovas
title Python for Scientific Computing Education: Modeling of Queueing Systems
title_short Python for Scientific Computing Education: Modeling of Queueing Systems
title_full Python for Scientific Computing Education: Modeling of Queueing Systems
title_fullStr Python for Scientific Computing Education: Modeling of Queueing Systems
title_full_unstemmed Python for Scientific Computing Education: Modeling of Queueing Systems
title_sort python for scientific computing education: modeling of queueing systems
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2014-01-01
description In this paper, we present the methodology for the introduction to scientific computing based on model-centered learning. We propose multiphase queueing systems as a basis for learning objects. We use Python and parallel programming for implementing the models and present the computer code and results of stochastic simulations.
url http://dx.doi.org/10.3233/SPR-140377
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AT valentinadagiene pythonforscientificcomputingeducationmodelingofqueueingsystems
AT sauliusminkevicius pythonforscientificcomputingeducationmodelingofqueueingsystems
AT leonidassakalauskas pythonforscientificcomputingeducationmodelingofqueueingsystems
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