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Kehl, a fast (no loop) method to compute MSD

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Kehl, a fast (no loop) method to compute MSD



21 May 2013 (Updated )

Kehl computes the mean squared displacements (MSD), with no loop. Fully vectorized code.

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MSD is a measure of the displacement over a certain interval of time, used for instance to analyze trajectories and tell if it's ballistic, diffusive, sub-diffusive, etc.
To compute MSD, all the possible time intervals within the trajectory need to be considerer. The simplest way uses nested loops :
the first loop runs over the time points, the other loop runs over the possible interval from each time point.

Thoses nested loops are a nightmare for fast computation, especially for long trajectories.

Kehl suppresses the loops, and computes all the squared distance at once, then sorts and averages them out.

MATLAB release MATLAB 7.11 (R2010b)
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Comments and Ratings (1)
28 Jul 2016 A B

A B (view profile)

Nice work. Could maybe be improved by initializing NaN-Arrays instead of 0-s so nothing hast be be pruned prior to the actual calculation.

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22 May 2013 1.1

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