Python Can Python scipy.optimize.fmin() Optimize More Than One Variable at Once?

Thread starter dacruick
Start date Oct 29, 2010
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Python

AI Thread Summary

The discussion centers on optimizing a function with multiple variables in Python, specifically using the SciPy library. The user encounters a TypeError indicating that the function's arguments must be a sequence. The function defined, `optimizefunction`, takes three parameters but is only provided with one when called. To resolve the error, it's essential to pass the additional variables correctly as a sequence, typically using a tuple. The correct usage of `scipy.optimize.fmin` requires ensuring that all parameters are included in the optimization call. This highlights the importance of understanding function argument handling in Python when performing multi-variable optimization.

Oct 29, 2010

dacruick

Hi All,

I am trying to optimize for more than 1 variable at the same time. is that possible?

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Oct 29, 2010

dacruick

I am trying to use this properly but I keep getting the same error.

TypeError: optimizefunction() argument after * must be a sequence

def optimizefunction(x,y,z):
x=5

return abs(x-y*z)

print scipy.optimize.fmin(optimizefunction, 2, (y,z))

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