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

回答(1 个)

John D'Errico
John D'Errico 2015-6-25
编辑:John D'Errico 2015-6-25
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 个评论
Sayed
Sayed 2015-6-29
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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