Time: tradeoff: Difference between revisions
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(Created page with "Return to GFtbox hints and tips<br><br> ==Choosing a timestep that is short enough to be accurate and yet not take too long to compute...") |
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|width="200px"|[[File: | |width="200px"|[[File:GPT_DemoSubdivision_DT_1B.jpg|200px|GFtbox interface]]Step size (dt) is 10. '''Is the 'S' shape correct?'''<br><br> Simple mesh of 382 elements equally spaced vertices. Superimposed are the polarity arrows (pointing bottom left) and purple and blue factors that control local growth rates. | ||
|width="200px"|[[File: | |width="200px"|[[File:GPT DemoSubdivision DT 2B.jpg|200px|GFtbox interface]]Step size (dt) is 1. '''Is the 'S' shape correct?''' It is different so we reduce it again... | ||
|width="200px"|[[File: | |width="200px"|[[File:GPT_DemoSubdivision_DT_3B.jpg|200px|GFtbox interface]]Step size (dt) is 0.1. This shape is very similar to the previous one so we might conclude that it is not necessary to make the stepsize this short, a stepsize of 1 is OK. | ||
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It still might not be correct because the mesh itself could be too coarse. | |||
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Revision as of 11:08, 6 December 2012
Return to GFtbox hints and tips
Choosing a timestep that is short enough to be accurate and yet not take too long to compute
There is a tradeoff between speed and the accuracy with which the equation solver can solve the equations. This is feature of all numerical modelling. Continuous time is approximated by a series of short intervals or steps (dt). With steps that are too long the mesh will grow more than about 2% - an acceptable limit. Very short steps take a long time to compute and can also suffer rounding problems. This is an example of subdividing a rectangular mesh in the region in which curves will develop.
It still might not be correct because the mesh itself could be too coarse.