euclideanV

Computes the 3D distance between two 3D point sets
252 Downloads
Updated 6 Aug 2013

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INPUT: two sets of matching column vectors, x1, y1, z1 & x2, y2, z2 representing xyz coordinates of two 3D point sets. E.g:

x1=[1;1;1],y1=[1;1;1],
z1=[1;1;1]
x2=[2;2;2],y2=[2;2;2],
z2=[2;2;2]

OUTPUT: Single column vector, euclidV3D, with each row being the 3D distance between each position vector in the two point sets. E.g.

euclid3D=[1.7321; 1.7321; 1.7321]

USAGE: [euclidV3D] = euclideanV(x1, y1, z1, x2, y2, z2)

Function avoids for loops and is thus faster than the previously submitted function, euclidean (though less useful for higher dimension arrays).

Cite As

Thomas Seers (2024). euclideanV (https://www.mathworks.com/matlabcentral/fileexchange/42947-euclideanv), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.0

06/08/2013: Updated file based on Jan's suggestions

1.0.0.0