I've downloaded the file:
http://www.sagemath.org:9001/TeXmacs?action=AttachFile&do=view&target=texmacs-sage.tar.gz
and extracted it in
~/.TeXmacs/plugins
as the instructions say (in http://www.sagemath.org:9001/TeXmacs)
but when I start TeXmacs there is no SAGE option in Insert -> Session .
Dear Jaap,
I am upgrading my sage installation and because I would need to rebuild the ets
spkg. So, I would like to know if your upgrade offer is still open.
> To: sage-support@googlegroups.com
> From: j.sp...@hccnet.nl
> Subject: [sage-support] Re: problems installing mayavi2/ets
> Date: Thu,
On Aug 5, 11:13 am, Simon King wrote:
> Hi kcrisman,
>
> On 5 Aug., 16:51, kcrisman wrote:
>
> > I think we do have some support for persistent homology type stuff.
>
> Do you mean the "persistent group cohomology" that is part of the
> optional p_group_cohomology package? While the basic conce
Hi kcrisman,
On 5 Aug., 16:51, kcrisman wrote:
> I think we do have some support for persistent homology type stuff.
Do you mean the "persistent group cohomology" that is part of the
optional p_group_cohomology package? While the basic concept of that
notion was inspired by persistent homology o
Hi all,
I'm forwarding this message to sage-support as well, because I could
get no support on sage-notebook. I hope you don't consider this as
spam, I would just like to hear some comments. Eventually I'll try on
sage-devel :)
Thanks
Maurizio
-- Forwarded message --
From: Mauriz
Dear Julien,
You should probably check out http://www.sagemath.org/download-linux.html
. For instance, a 32-bit Ubuntu 10.04 build seems to be available at
e.g.
http://ftp.sh.cvut.cz/MIRRORS/sagemath/linux/32bit/sage-4.5-linux-32bit-ubuntu_10.04_lts-i686-Linux.tar.lzma
if the Czech Republic is c
I think we do have some support for persistent homology type stuff.
This isn't exactly point-set topology, though. Irrespective of which
having interfaces to these things would be great.
- kcrisman
On Aug 5, 9:45 am, Alec Battles wrote:
> Update: I think the G. Carlsson paper, Topology and Data
Update: I think the G. Carlsson paper, Topology and Data, is quite a
find. Thanks for suggesting the link, Justin.
Alec
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For more options,
>
> Can you try doing
>
> sage: preparser(False)
>
sage: preparser(False)
sage: from layered_ising_mc import layered_ising_mc
sage: a = layered_ising_mc(n=16, J_p=20, h=19.94, beta=0.5)
sage: a.set_initial_condition()
sage: time data = a.monte_carlo(1000); a.check_consistency()
CPU times: user 40.5
Thanks. It looks promising. My earlier search didn't yield anything.
Alec
On Thu, Aug 5, 2010 at 2:13 PM, Justin C. Walker wrote:
>
> On Jul 29, 2010, at 06:12 , Alec Battles wrote:
>
>> Not specifically, no, but orms.mfo.de (an excellent list with frequent
>> updates) lists 9 projects under top
On 8/5/10 12:10 AM, Rajeev wrote:
Hi,
I was very surprised to find that sage is much slower than ipython for
doing the same numerical task (monte carlo simulation using numpy
arrays). Following is summary of the time taken -
In [1]: from layered_ising_mc import layered_ising_mc
In [2]: a = lay
Hi,
I was very surprised to find that sage is much slower than ipython for
doing the same numerical task (monte carlo simulation using numpy
arrays). Following is summary of the time taken -
In [1]: from layered_ising_mc import layered_ising_mc
In [2]: a = layered_ising_mc(n=16, J_p=20, h=19.94,
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