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View Code? Open in Web Editor NEWImplementation of geometric data structures such as Quadtrees/k-d trees
Implementation of geometric data structures such as Quadtrees/k-d trees
To build the executable: $ cd repo $ mkdir -p build && cd build $ cmake ../ $ make This generates an executable named "runnable", in the build directory. It has the following options: Option Meaning --seed <n> Sets initial rng seed, 42 by default --box_size <n> Sets bounding box size for spatial data structure construction, default is 1e9 --batch_size <n> Number of points in a batch during measurements, default is 1e6 --loops <n> Number of loops, each uses a single batch (each batch increases data structure size, no wipe). 10 by default Follow options enable/disable method measurements, and are enabled by default 0 disables the operation, >0 enables it --find <b> "Find" --insert <b> "Insert" --delete <b> "Delete" --nn <b> "Nearest Neighbour" --knn <b> "K-Nearest Neighbour" --rangesearch <b> "Range Search" Output of the program are the measurements on all 3 data structures (Point-region quadtrees, Point quadtrees, Kd-trees) for the selected methods Examples: Measure inserts with each batch having 50000 points $ ./runnable --batch_size 50000 --loops 10 --insert 1 --find 0 --delete 0 --nn 0 --knn 0 --rangesearch 0 Measure everything with default options $ ./runnable
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