Hi all,
I have two questions about scipy.
1) When I was trying to solve a single variable equations using scipy, I
found two methods: scipy.optimize.fsolve, which is designated to find the
roots of a polynomial, and scipy.optimize.newton, which is used for Scalar
function root finding according to the help().
I have tried both, and it seemed that both worked well, and fsolve ran
faster.
My questions is, which is the right choose ?
2) I have to solve a linear equation, with the constraint that all
variables should be positive. Currently I can solve this problem by
manually adjusting the solution in each iteration after get the solution
bu using scipy.linalg.solve().
Is there a smart way ?
Thanks in advance.
Xiao Jianfeng |