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Re: HELP: Levenberg-Marquardt method [message #3673 is a reply to message #3652] Mon, 06 March 1995 07:05 Go to previous messageGo to previous message
kletzing is currently offline  kletzing
Messages: 5
Registered: September 1994
Junior Member
I have done fitting with various types of plasma data, quite often
measured distribution functions that I wish to fit with idealized
functions. This does not usually work very well with the CURVEFIT
routine because the fit phase space, so to speak, has many local
minima. Thus if curvefit starts near a local minima it often just
finds that minima without finding other better minima. On the other
hand I have worked with time series data that have an extraneous
noise signal at one frequency that I have removed very successfully
with curvefit.

For the first type of problem, I have had more success by backing up
to less sophisticated methods such as gradient search or grid search
techniques. They take longer (often much longer) to converge, but
tend to do better when the data is not as nice. Both these techniques
are described in Bevington's book.

Could you elaborate on the error in CURVEFIT? I've never looked over
RSI's implementation very carefully.

Craig Kletzing
University of New Hampshire
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