[SciPy-dev] Segmentation fault in optimize

[Manuel Metz]

Hi,
I now know that I invoked the scipy.optimize.fmin_bfgs not correctly, 
but I think a 'segmentation fault' even in this case is not a desired 
result.  :-(

#----fminerror.py----
import scipy
from Numeric import *

def f1(x):
     return (x-5.3)**4

def fd1(x):
     return 4*(x-5.3)**3

# This works fine
r1 = scipy.optimize.fmin_bfgs(f1,1)
print r1

# Here I get a segmentation fault
r2 = scipy.optimize.fmin_bfgs(f1,1,fd1)
print r2
#----fminerror.py----

-----------------------------------------------------
Output:
 > python fminerror.py
Optimization terminated successfully.
          Current function value: 0.000000
          Iterations: 19
          Function evaluations: 63
          Gradient evaluations: 0
[ 5.31255046]
Segmentation fault
-----------------------------------------------------

I have a debian linux (sid), python2.3.5 and scipy 0.3.2 installed.

Manuel

-- 
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  Manuel Metz
  Sternwarte der Universitaet Bonn
  Auf dem Huegel 71 (room 3.06)
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  E-Mail: mmetz at astro.uni-bonn.de
  Phone:  (+49) 228 / 73-3660
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