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If you use the algorithm="simplex" option, it uses the optimize.fmin command, and passes any arguments you specify into fmin. The simplex method is default for python functions, but the bfgs method is default for symbolic expressions.

sage: minimize(f,[.5],algorithm='simplex')
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 16
         Function evaluations: 32
(1.0)
sage: def callback(xk): 
....:     print xk
....:     
sage: minimize(f,[.5],algorithm='simplex',callback=callback)
[ 0.575]
[ 0.675]
[ 0.875]
[ 1.075]
[ 0.975]
[ 0.975]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
[ 1.]
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 16
         Function evaluations: 32
(1.0)