mclaugb wrote:
> " x, f, d = lbfgsb.fmin_l_bfgs_b(Permmin, x0, Jacobi, params,
> bounds=[(.001,100),(-50,-.001)] , maxfun=500)
> File "C:\Python24\lib\site-packages\scipy\optimize\lbfgsb.py", line 197,
> in fmin_l_bfgs_b
> isave, dsave)
> ValueError: failed to initialize intent(inout) array
mclaugb wrote:
> Just to clarify--this is a multivariate algorithm.
Yes. That means that the domain of the objective function is multivariate. The
image is still a scalar.
RR^n -f-> RR
> I changed the function
> Permmin to simply take the absolute value of (xmin, ymin) so that it returns
>
Just to clarify--this is a multivariate algorithm. I changed the function
Permmin to simply take the absolute value of (xmin, ymin) so that it returns
one value. Unfortunately, the error remains--it still returns this error:
" x, f, d = lbfgsb.fmin_l_bfgs_b(Permmin, x0, Jacobi, params,
bounds
mclaugb wrote:
> Does anyone out there have a piece of code that demonstrates the use of the
> lbfgsb multivariate, bounded solver in the scipy.optimize toolkit? An
> example would get me started because my code below does not seem to work.
You will probably get better/faster/more answers on th
Does anyone out there have a piece of code that demonstrates the use of the
lbfgsb multivariate, bounded solver in the scipy.optimize toolkit? An
example would get me started because my code below does not seem to work.
Thanks alot,
Bryan
I have tried to use the LBFGSB optimisation algorithm w
