scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
rptfile – string with the filename to print ODRPACK summaries to. *Do Not
Open This File Yourself!*
ndigit – integer specifying the number of reliable digits in the computation
of the function.
taufac – float specifying the initial trust region. The default value is 1.
The initial trust region is equal to taufac times the length of the first computed
Gauss-Newton step. taufac must be less than 1.
sstol – float specifying the tolerance for convergence based on the relative
change in the sum-of-squares. The default value is eps**(1/2) where eps is
the smallest value such that 1 + eps > 1 for double precision computation on
the machine. sstol must be less than 1.
partol – float specifying the tolerance for convergence based on the relative
change in the estimated parameters. The default value is eps**(2/3) for
explicit models and eps**(1/3) for implicit models. partol must be less than
1.
maxit – integer specifying the maximum number of iterations to perform. For
first runs, maxit is the total number of iterations performed and defaults to
50. For restarts, maxit is the number of additional iterations to perform and
defaults to 10.
stpb – sequence (len(stpb) == len(beta0)) of relative step sizes to compute
finite difference derivatives wrt the parameters.
stpd – array (stpd.shape == data.x.shape or stpd.shape == (m,)) of relative
step sizes to compute finite difference derivatives wrt the input variable
errors. If stpd is a rank-1 array with length m (the dimensionality of the input
variable), then the values are broadcast to all observations.
sclb – sequence (len(stpb) == len(beta0)) of scaling factors for the
parameters. The purpose of these scaling factors are to scale all of the parameters
to around unity. Normally appropriate scaling factors are computed if this
argument is not specified. Specify them yourself if the automatic procedure
goes awry.
scld – array (scld.shape == data.x.shape or scld.shape == (m,)) of scaling
factors for the errors in the input variables. Again, these factors are automatically
computed if you do not provide them. If scld.shape == (m,), then the
scaling factors are broadcast to all observations.
work – array to hold the double-valued working data for ODRPACK. When
restarting, takes the value of self.output.work .
iwork – array to hold the integer-valued working data for ODRPACK. When
restarting, takes the value of self.output.iwork .
Other Members (not supplied as initialization arguments):
294 Chapter 3. Reference