On Jan 26, 4:02 pm, Nathann Cohen <nathann.co...@gmail.com> wrote:
> ...I just wondered which kind of things you intended to use
> CVXOPT for :-)

check out the examples on their webpage. for example, reconstructing
data with noise, fitting functions to data points with special
potential functions (huber) which are better (this means: more robust
to errors in the data) than just least squares, etc.
http://abel.ee.ucla.edu/cvxopt/examples/index.html
one of the more complicated things with cvxopt is, that you can tell
it explicitly about the problem structure:
check out the functions inside the def tv(delta) here
http://abel.ee.ucla.edu/cvxopt/examples/book/tv.html (gradient, kkt)
i.e. the last example is quite nice to investigate how it is done,
wrapping some @interact around the parameters instead of plotting only
three graphs, plotting the errors, ...

h

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