mex_sepsq

버전 1.8.0.0 (72.9 KB) 작성자: Ben Mitch
Fast, dedicated, code to compute Euclidean separation between sets of points in N-dimensional space.

다운로드 수: 2.2K

업데이트 날짜: 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

인용 양식

Ben Mitch (2022). mex_sepsq (https://www.mathworks.com/matlabcentral/fileexchange/3966-mex_sepsq), MATLAB Central File Exchange. 검색됨 .

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