python for scientific computing education: modeling of queueing systems
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ID: 151600
2014
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Abstract
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.
| Reference Key |
dolgopolovas2014scientificpython
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|---|---|
| Authors | ;Vladimiras Dolgopolovas;Valentina Dagienė;Saulius Minkevičius;Leonidas Sakalauskas |
| Journal | environmental pollution |
| Year | 2014 |
| DOI |
10.3233/SPR-140377
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| URL | |
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