[SciPy-user] Solving an equation using scipy.optimize.newton

[dmitrey]

one of possible solutions - try to minimize f(x)^2, subjected to 
constraints lb, ub, via solver lbfgsb or tnc
D


fdu.xiaojf at gmail.com wrote:
> Hi all,
>
> I'm trying to solve an equation f(x) = 0 with scipy.optimize.newton.
>
> However the problem isn't so simple. There are bound constraints for my 
> equation: the equation cannot be evaluated when x is out of [Min, Max], but 
> the root is always in the interval of [Min, Max]
>
> When newton() iterates to find a root, it sometimes try to evaluate the 
> equation with a x out of [Min, Max], and then error occurs.
>
> How to solve this problem ?
>
> I couldn't easily find two points with different signs every time, so methods 
> like brentq don't work here.
>
> Thanks a lot!
>
> Regards
>
>
>
>
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