how can I find the distance between succesive points in a big matrix

Hi everyone, I have a big data and i want to find the distances between succesive points in the data, how can this be done. I can find the distance between points easily with the pythagoras theorem d=sqrt((x2-x1)^2+(y2-y1)^2) but this is time wasting for a big data. I want to find distance between row 1 and row 2, row 3 and row 4, and so on

This is just 6 rows from my 44 X2 matrix.

x y

  -22.7571   19.2166
  -21.7591   20.2866
  -21.4567   17.9427
  -20.4284   19.0637
  -20.0958   16.7197
  -19.1885   17.7389

Thanks.

Answer 1

[dpb]

d=diff(xy);                  % presume 2D array is xy
d=hypot(d(:,1),d(:,2)); 

pdist may be as fast even though computes all pairwise values, but I didn't test it.

[DAMILOLA BALOGUN]

O "wow" you saved a life.

Thanks a lot