Exact(60)
An outstanding feature of their approach is that it moves formulae and computations from computational tools into scientific publications.
We derive an efficient plane sweep algorithm from computational geometry to compute these intersections.
Many other topics are discussed, from computational complexity to intelligence (artificial and not), and even an algorithmic perspective on teaching.
However, it suffers from computational burden.
In that respect, it diverges from computational neuroscience.
These results are essential from computational aspect.
We have these biologically inspired concepts in machine learning that come from computational neuroscience.
Fig. 3 Results from computational fluid dynamic models.
Finally, all of these systems suffer from computational complexity.
Examples from Computational Fluid Dynamics (CFD) simulations are also discussed.
This is now possible, and in a very efficient way, thanks to tools from computational geometry.
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