Handling really large numbers, dynamic ranges....

I have some data that extends into the 18 to 24 bit range and of course
it changes over temperature. I'm measuring temp also.
Our measured noise coming off the A/D is +/- 10, very very quiet
 
Non-linear regression is getting to be a bugger as the numbers can
become very large even at the 3rd order. The max number that I can
Effectively cube is something like 1290 which gets you to the top of
double precision signed numbers. The 3rd degree poly below is a good
example.
 
I have data that tops somewhere around 12,000,000 and at the low end
its around 100,000. If I start pre-scaling then I'm into keeping track
of how much pre-scaling to apply verses loss of resolution... LOGS?
 
John Harts book which is referenced in the SwiftX refs is out of print.
I've tried to locate a used one without luck.
 
Any ideas
 
Gene Silvernail
 
 
  
 
y = -7.0970E-11x3 + 2.0936E-06x2 - 2.4255E-02x + 1.6214E+02

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Received on Tue Sep 03 2002 - 10:57:04 PDT