VPython Multithreading: Difference between revisions
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Claimed by Philip Bale | Claimed by Philip Bale | ||
Here we discuss multithreading as it relates to advanced VPython physics computations | |||
==Overview== | |||
Multithreading is the ability to execute multiple processes (or threads) concurrently. As this relates to physics, it allows us advanced and complex computations to be performed more efficiently. The asynchronous potential of multithreaded programs supports smoother graphical renderings and more accurate user input as well. | |||
===Benefits=== | |||
Insert text here | |||
===A Mathematical Model=== | ===A Mathematical Model=== |
Revision as of 01:20, 4 December 2015
Claimed by Philip Bale
Here we discuss multithreading as it relates to advanced VPython physics computations
Overview
Multithreading is the ability to execute multiple processes (or threads) concurrently. As this relates to physics, it allows us advanced and complex computations to be performed more efficiently. The asynchronous potential of multithreaded programs supports smoother graphical renderings and more accurate user input as well.
Benefits
Insert text here
A Mathematical Model
What are the mathematical equations that allow us to model this topic. For example [math]\displaystyle{ {\frac{d\vec{p}}{dt}}_{system} = \vec{F}_{net} }[/math] where p is the momentum of the system and F is the net force from the surroundings.
A Computational Model
How do we visualize or predict using this topic. Consider embedding some vpython code here Teach hands-on with GlowScript
Examples
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Connectedness
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- How is it connected to your major?
- Is there an interesting industrial application?
History
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See also
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Further reading
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References
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