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mex_sepsq 1.0

  Date Added: May 28, 2013  |  Visits: 227

mex_sepsq

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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

Requirements: No special requirements
Platforms: Matlab
Keyword: 5000b Gg039s Greater Green Implementation Loopnb Mex Sepsq Demo Mex Sepsqa Mex Sepsqgtgt Mscript Performance Randn Relative Screenshot Seconds Sepsq Gga
Users rating: 0/10

License: Freeware Size: 71.68 KB
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