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DC Field | Value | Language |
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dc.contributor.author | SINGH, CHARU | - |
dc.contributor.author | SHEFALI | - |
dc.date.accessioned | 2024-11-18T07:06:23Z | - |
dc.date.available | 2024-11-18T07:06:23Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/21045 | - |
dc.description.abstract | Petri Nets provide a way of representing changes over time which is structured and is widely used for representing models of various systems. However, expertise in programming is required for working with Petri Nets and can often be complex. This is where PNet, a Python library that is intended to make working with Petri Nets much easier, is introduced. Without needing to be a coding expert using PNet, you can define your Petri Net using a simple text based language. You can use regular Python functions even if you need more complex rules for how things change. To demonstrate the simplicity of PNet, we provide three examples: one that shows you how to bake a cake, another that models the spread of diseases, and the last one that describes the evolution of molecule count in a system. With PNet, you can easily bring your ideas to life and simplify the process of working with Petri Nets. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-7525; | - |
dc.subject | PNET MODULE | en_US |
dc.subject | PETRI NET MODELING | en_US |
dc.subject | SIMULATION | en_US |
dc.subject | PYTHON LIBRARY | en_US |
dc.title | PNET MODULE : EMPOWERING PETRI NET MODELING AND SIMULATION | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M Sc Applied Maths |
Files in This Item:
File | Description | Size | Format | |
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Charu & Shefali M.Sc..pdf | 1.05 MB | Adobe PDF | View/Open |
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