At this moment the function is used to query the database of spectra to find the big spectra 'similiar' to given small subspectrum. So i match nearly thousand of spectra (at the moment, the database is continiously increasing) against one subspectrum.

I did not think about any optimizations when i wrote the first version of the function (not shown here). But after a while i realized that most requests cause the server to hang and understood that the situation needs some improvement :) The function i demonstrated works about 400 times faster than the old one :)

The dynamic range and precision of the data are known. All signals in all spectra lie between 200 and 0. The precision is always the same, e.g. "%.2f".

But if you have any suggestions about how the function can be improved if i need to match e.g. 10_000 subspectra against one spectum, i'd be very glad to read them.

     s;;Just-me-not-h-Ni-m-P-Ni-lm-I-ar-O-Ni;;tr?IerONim-?HAcker ?d;print

In reply to Re^2: Calculate the similarity of two arrays of numbers by Ieronim
in thread Calculate the similarity of two arrays of numbers by Ieronim

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