Is there an equivalent of NSolve of mathematica?

asked 2010-12-20 06:07:15 +0100

Shashank

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updated 2015-01-14 16:22:37 +0100

FrédéricC

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I am trying to solve a system of non-linear system of equations. Is there a equivalent of NSolve or FindRoot of mathematica in sage. I looked up on the net and there is a equivalent command nsolve in sympy. However, for some reason "from sympy import nsolve" gives a error.

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answered 2010-12-20 08:46:13 +0100

Felix Lawrence
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Scipy has quite a collection of numerical solvers in scipy.optimize. Does scipy.optimize.nonlin suit your needs?

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answered 2010-12-20 21:06:34 +0100

Eviatar Bach
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Here is the equivalent to FindRoot: http://www.sagemath.org/doc/reference...

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find_root works only in 1D I was actually trying to minimiize in 5D. I ended up using simplex algorithm from scipy it works pretty well.

Shashank ( 2011-01-11 19:05:33 +0100 )edit

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answered 2010-12-20 07:30:03 +0100

Shashank

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I found a way around. I can define f=abs(f1)+abs(f2)+... and minimize f using the simplex algorithm. However, I have not been play with the tolerance and maximum number of iterations in minimize(). Is there is simple way of changing the tolerance for minimize with alogorithm="simplex"?

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