use fsolve with boundaries
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Hi,
I wonder if there is a way to use fsolve with boundaries?
I am currently using fsolve for a system of nonlinear equations solving for up to 100 variables. The values I get are ok, but unfortunately not in the bounds I want to look. Is there a way to bound the variables?
Thanks a lot.
采纳的回答
Matt J
2013-1-22
2 个投票
LSQNONLIN is basically an extension of FSOLVE that allows for upper and lower bounds.
3 个评论
Shashank Prasanna
2013-1-22
Its hard to say if one is the extension of the other. FSOLVE offers trust-region-dogleg which is better suited for systems, and is unique about FSOLVE. While LSQNONLIN offers the ability to provide bounds, but doesn't offer dogleg because dogleg would fail for not purely least square problems resulting from constraints.
Yes, clearly each requires different algorithms since FSOLVE addresses unconstrained non-linear least squares while LSQNONLIN addresses constrained nonlinear least squares.
However, surely LSQNONLIN might do better than FMINCON, since FMINCON knows nothing about the least squares structure of the problem at all. Otherwise, why not just use FMINCON for everything?
Shashank Prasanna
2013-1-22
Other than dogleg, FSOLVE and LSQNONLIN use the same algorithm and are only different in the sense that FSOLVE performs the sum of squares internally. FSOLVE just does not have an interface for constraints but the algorithm is capable of it, in which case the user may revert to LSQNONLIN.
FMINCON was just a suggestion, and as you noted, not the best in this scenario, but my comment was about comparing LSQNONLIN to FSOLVE in-terms of one being an extension of the other.
更多回答（2 个）
Shashank Prasanna
2013-1-22
0 个投票
Unfortunately as you mentioned FSOLVE does not do constraints as of currently. As an alternative and with no guarantees as always, you can try to use FMINCON with constraints such that it minimizes the |F(x)| in a least square sense there by forcing each equation to zero. Your mileage may vary.
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