increasing fsolve accuracy when fval values are different in terms of order of magnitude

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I have a set of six equations-six unknowns. When I solve it by fsolve, it "stops prematurely" and gives me 6 values for unknowns that are not exactly the answers that I'm expecting (I've tried different initial guesses, but it's the same). Answer set that fval gives is:
[x1=6.242, x2=2.148, x3=2.688, x4=1.563, x5=-3.359, x6=0.996]
and values of "fval" after solving are:
[-9e-9, 1e-10, -2e-6, 0.0054, -0.1208, -0.1615 ]
(The last 3 fvals are comparatively larger). Please let me know what I can do to enhance the results accuracy? Thanks

Answers (1)

John D'Errico
John D'Errico on 25 Jun 2015
Edited: John D'Errico on 25 Jun 2015
The simple answer is the one you need to use.
SCALE YOUR VARIABLES. Scale them so they are all roughly the same order of magnitude. A factor of 10 is irrelevant. A dynamic range of 1e10 is a problem.
Then after the solve is done, scale them back.
  6 Comments
Sayed
Sayed on 29 Jun 2015
Dear Walter,
Thanks for commenting.
When we use fsolve, it returns two different things:
1- an answer set: that depending to your equations have different components and of course could be very different in their order of magnitude as well.
2- fval values that is the values of your equations function calculated with the final answer that Matlab has found (F==0). So, fval can't basically have very different values and all its components should be very close to zero; while in my case only the first 3 component are close to zero, but the rest are not [-9e-9, 1e-10, -2e-6, 0.0054, -0.1208, -0.1615 ]
This is fsolve message when stops:
Solver stopped prematurely.
fsolve stopped because it exceeded the function evaluation limit, options.MaxFunEvals = 9000 (the selected value).

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