[SciPy-user] Using SciPy/NumPy optimization
Tue Feb 27 14:09:47 CST 2007
The usual confessions: I am relatively new to Python programming and SciPy.
I have a problem I'm looking for some help in solving.
I have a list of data pairs [[x1,y1], [x2,y2], ..., [xn,yn]] and am trying
to find the best fit of that data to an equation:
y = a*(1+b*c*y)^(-1/b)
The parameters, b and c, are constrained:
Parameter a is only weakly constrained in that x is usually >= max(x1, x2,
... , xn).
My "best fit" goal is either to minimize the root mean square deviation (or
consequently maximize the r-square value).
Brandon C. Nuttall
BNUTTALL@UKY.EDU Kentucky Geological Survey
(859) 257-5500 University of Kentucky
(859) 257-1147 (fax) 228 Mining & Mineral
http://www.uky.edu/KGS/home.htm Lexington, Kentucky 40506-0107
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