Nathaniel Smith wrote:
> There are currently no plans to produce a NumPy 2.0, but everything you
> suggest would be just fine as changes to numpy 1.x. PRs gratefully accepted.
Thanks, just posted
https://github.com/numpy/numpy/issues/2997
https://github.com/numpy/numpy/issues/299
Dear NumPy developers,
I've been working on a glue package that allows the Julia language
(http://julialang.org/) to call Python routines easily
https://github.com/stevengj/PyCall.jl
and I'm using NumPy to pass multidimensional arrays between languages.
Julia has the ability to call C fu
Steven G. Johnson wrote:
>> Regarding constraints, the suggestion was to "manually" substitute my
>> variables with combinations of exp()-expressions that would implicitly
>> take care of the r_i>0 and 0> Question: Does NLopt allow to do those optimizations in a
ement nonlinear constraints, and NLopt also has algorithms that
include constraints more directly.)
Regards,
Steven G. Johnson
PS. Regarding your post, I basically agree with your respondents that
you have to decide what error function you want to minimize. That is,
you presumably have some err
and NLopt also has algorithms that
include constraints more directly.)
Regards,
Steven G. Johnson
PS. Regarding your post, I basically agree with your respondents that
you have to decide what error function you want to minimize. That is,
you presumably have some error measure for each fitted
/inequality constraints.
NLopt is written in C, but now includes a Python interface (as well as
interfaces for C++, Fortran, Matlab, Octave, and Guile).
It is free software under the GNU LGPL.
Regards,
Steven G. Johnson
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NumPy-Discussion mailing list
NumPy
default alignment of numpy
arrays at runtime, rather than requesting aligned arrays
individually. e.g. so that someone could come along at a later date
to a large program and just add one function call to make all the
arrays 16-byte aligned to improve performance using SIMD libraries.
Regards,
