Dear all,

This is my first post so please bear with me if I am a bit naïve about the netiquette or other conventions.

I am post processing lot of experimental data using Mathematica. I have created the notebook with all the instructions to load the data set from an Excel file, do the basic post processing and then run a MonteCarlo simulation on it to obtain the error propagation.

The MonteCarlo simulation is a pretty intensive calculation. Mainly due to the large number of iterations. My test data are transient data and for each second of data I run 10000 MonteCarlo iterations. To give you an example for 38 points in time, the 10000 MonteCarlo iterations require 1600 seconds. I am quite ok with this time for calculation as I am running on my PC and I can leave it running during the night. Now, since I have to repeat the same analysis over 20 or 30 data sets I transformed everything in a .m file. And set it so that I can pass some variables to it and I wanted to run it from command line on each data set. Everything works properly except that it is much much slower. While the notebook does one MC iter per time step in 4.2 milliseconds, the script does it in 25 milliseconds. So it took forever to complete one MC analysis and then I stopped it. Has anyone met the same strange behavior?

I am posting this from home and I haven't here a license for Mathematica but I will try to post a minimal working example from work tomorrow. I am using Mathematica 9.

Regards, Massimiliano