mex_sepsq

版本 1.8.0.0 (72.9 KB) 作者: Ben Mitch
Fast, dedicated, code to compute Euclidean separation between sets of points in N-dimensional space.
4.8
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2.2K 次下载
更新时间 2010/11/22

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To compute the Euclidean separation (L2 norm) between two sets of points in MATLAB can be slow and/or memory-hungry. In some cases (most particularly, if you are working with 2D, 3D or 4D data), this function will do it 2-4 times faster than the fastest m-code I've seen (due to Germano Gomes) and hundreds of times faster than a typical memory-efficient nested loop.

NB: for D much greater than 10-15, performance is better using GG's m-script. See the screenshot for a performance plot - green is GG, blue is mex_sepsq.

>> mex_sepsq_demo

A = randn(4, 5000);
B = randn(4, 5000);

C1 = mex_sepsq(A, B);
Elapsed time is 0.201335 seconds.

C2 = sepsq_gg(A, B);
Elapsed time is 0.517755 seconds.

Relative time per implementation: 1.00 2.57

引用格式

Ben Mitch (2024). mex_sepsq (https://www.mathworks.com/matlabcentral/fileexchange/3966-mex_sepsq), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.8.0.0

whoops, broke the linux implementation - fixed, now.
1.7.0.0

Improved performance, added benchmarking.
1.2.0.0

Provided a demo and an auto-compile script.
1.0.0.0