+1!
sorry for the spam...
Den lørdag den 14. april 2012 09.30.49 UTC+2 skrev Harald Schilly:
>
>
>
> On Friday, April 13, 2012 8:56:18 PM UTC+2, Volker Braun wrote:
>>
>> On a related note: Enable 2-factor authentication for your Google
>> account. I've recently switched it on and it works fine.
matplotlib is only used for some of the examples with CVXOPT; there is no
reason to introduce such a dependency. If it's a matter of automated
tests, then it would be much better to comment out the
plotting in the few examples.
Den tirsdag den 27. marts 2012 09.03.49 UTC+2 skrev Jeroen Demeye
It's a good point that for most work you don't type in matrices by
hand. What is more useful is probably various ways of inspecting
matrices easily (print submatrices, plot the sparsity pattern,
evaluate expressions involving the matrix, etc.)
On 20 Aug., 00:21, Simon King wrote:
> On 19 Aug., 2
Personally I don't mind that the syntax is different.
I was about to give some examples of indexing and slicing
of Numpy arrays, which I remembered to be odd for matrices, but
then I realized that the indexing/slicing works exactly like
I expect it to, e.g.,
>>> A[:, i]
picks out the i'th column
I develop optimization software professionally, and I use both Matlab
and Python
extensively.
I only use Matlab for prototyping numerical algorithms and inspecting
and manipulation matrices. I tend to stick with Matlab/Octave because
constructing/inspecting matrices is so simple and the linear alg
Another possibility could be to improve numerical computations in
SAGE. What makes
MATLAB very popular with engineers is not the large amount of
toolboxes - it's MATLAB's
excellent capabilities for numerical computations. Very often MATLAB
users don't have
the toolboxes available (which are expensi
CVXOPT has no dependencies on Numpy (but can exchange data with
Numpy arrays efficiently via a buffer protocol).
On Jul 15, 11:04 am, François Bissey wrote:
> > On 07/14/10 10:58 PM, Nathan Dunfield wrote:
> > >> On a similar note cvxopt can make use of glpk as well.
>
> > > Yes, it can --- I was
If you go to
http://mosek.com/index.php?id=99
you can get a free license for academics, but you have to renew it
after 30 days.
On Jan 29, 11:05 am, Martin Albrecht
wrote:
> On Thursday 28 January 2010, dahl.joac...@gmail.com wrote:
>
> > MOSEK provides state-of-the-art commercial
MOSEK provides state-of-the-art commercial LP and SOCP solvers as
well as MIP solvers. They have a python interface and their academic
license is free.
Joachim
On Jan 28, 7:23 pm, kcrisman wrote:
> We also have CPLEX (which is indeed VERY high quality) through our OR
> guy's NSF grant. It woul
CVXOPT is developed on Ubuntu, and I've never had to do anything
special
to build it.
If you identified a problem in the build process, please report it on
the
CVXOPT forum.
best regards
Joachim
On Jan 26, 2:19 pm, Harald Schilly wrote:
> Hi, I've just upgraded it a few minutes ago. See my comm
I CVXOPT, the arguments for cvxopt.spmatrix() can also be CVXOPT nx1
dense matrices, i.e., you don't have to create Python lists, although
that
overhead is probably not too severe.
--
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The next version of CVXOPT will include our own library for
computations
with chordal matrices - including multifrontal Cholesky
factorizations.
http://abel.ee.ucla.edu/chompack/
We did not develop the library primarily for the Cholesky
routines, but they seem to be competitive with CHOLMOD, and
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