Isosurface Algorithim
The Center has developed scalar and vector field visualization algorithms primarily aimed at large-scale scientific computing applications on unstructured grids. A new isosurface algorithm has been developed that reduces the complexity of the search phase from O(n) to O(sqrt(n)) [LIVN96]. This algorithm has recently been parallelized and run on large data sets (10 - 20 million elements) at the Los Alamos National Laboratory [SHEN96a].
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[SHEN96a]H.W. Shen, C.D. Hansen, Y. Livnat and C.R. Johnson, "Isosurfacing in Span Space with Utmost Efficiency," IEEE Visualization "96, IEEE Press.
Scientific Visualization Bibliography
Scientific Visualization Overview
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