Comparative results of collision detection using <i>K</i>-d trees and hash tables (red: candidate particle, green: NNP, red sphere: target position).

Comparative results of collision detection using <i>K</i>-d trees and hash tables (red: candidate particle, green: NNP, red sphere: target position).

<p>Comparative results of collision detection using <i>K</i>-d trees and hash tables (red: candidate particle, green: NNP, red sphere: target position).</p>

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Bibliographic Details
Main Author:	Jong-Hyun Kim (2810173) (author)
Other Authors:	Jung Lee (439393) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Biotechnology Evolutionary Biology Geology Ecology Cancer Inorganic Chemistry Infectious Diseases Virology Space Science Environmental Sciences not elsewhere classified Mathematical Sciences not elsewhere classified method yielded results applications requiring nnp proposed acceleration method particles ’ motion following three conditions div >< p disk resides within calculated disk sector particles located within neighbor particle exists nnp region based proposed method disk sector particles within neighbor particles particle within disk sectors disk based movable particles various scenarios two vectors turbulent flow movable particle k </ isoline tracking implemented simply hash tables efficiently utilized dynamic changes based system based fluids automatically update adjusted according
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