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RE: : Nonlinear equation
From: |
Humberto Nanni |
Subject: |
RE: : Nonlinear equation |
Date: |
Wed, 16 Apr 2003 12:43:27 %z (CDT) |
>Can you help me how to solve a nonlinear equation given by:
>x = a*y*ln(b) - a*y*ln(y) + a*y
>where a and b are constant parameters.
>I know the inital value of x0 and I want to know the value of y.
>Can I use Newton's method? How?
Yes you can. How?, well first take a look at
http://www.library.cornell.edu/nr/bookcpdf/c9-4.pdf (numerical recipes
on-line).
and of course, in the messages posted in this list that shows how to set-up
the equation in the form of f(y).
Also, I want to point some heuristics that maybe have to be related to the
problem.
1. b have to be a positive number (and nonzero), yet NR (newton-rasphson) can´t
deal with the complex numbers that will result using ln(negative number).
(Unless you move to a complex space and make tangent planes instead tangent
lines to do the itereations)
If you expect that the result of y is positive then you have to attach
something like this logic to the NR algoritmh´s implementation:
routine that do a newton step (calculates deltaY)
y:=y + deltaY
----------------------
If (y less than zero)
then <----------------
y:= epsilon;
endif;
-----------------------
continue with the iterations
epsilon is system dependent. Try to use the very less floating number that your
system can resolve (that works for me).
2. NR steps always point to the solution. However the step could be so large,
that it could lead to a far point (than which it started) growing the error
metric. In this case, you´ll need to use a damped version of the NR´s method
this is explained in the numerical recipes text or alternatively in the works
of M.Hanke, (search for him in the archives of this mailing list).
I´m unsure if octave´s fsolve is numerically stable as to avoid wander in
usless iterations (never converge) under stressing probles, like optimisations
of functions involving ln(). Would the developers give me insight about this?.
kindly
H.Nanni
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