On Mon, Nov 14, 2011 at 4:00 AM, Nir Krakauer wrote:
> Dear all,
>
> I've written a function (attached) to implement a nonparametric
> (kernel-based) monotone increasing regression method. Please have a
> look and add it to the Statistics package if it seems appropriate.
>
> Best,
>
> Nir
>
>
> __
Thanks a lot, Martin!
I installed blas and lapack packages, and now I can install the octave
modules without problems.
Alex
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Dear all,
I've written a function (attached) to implement a nonparametric
(kernel-based) monotone increasing regression method. Please have a
look and add it to the Statistics package if it seems appropriate.
Best,
Nir
__
Nir Y. Krakauer
Assistant Professor of Civil Engineering
The
You only seem to have the libraries installed you nee the packages blas
and lapack
sudo zypper in lapack blas
then try again
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___
Hi,
I have been trying to install miscellaneous-1.0.11 package for octave
3.4.0. When I typed
"pkg install miscellaneous-1.0.11.tar.gz", I got the following error:
/usr/lib64/gcc/x86_64-suse-linux/4.3/../../../../x86_64-suse-linux/bin/ld:
cannot find -llapack
collect2: ld returned 1 exit st
On 13 Nov 2011, at 23:09, Carlo de Falco wrote:
>
> On 13 Nov 2011, at 23:02, c. wrote:
>
>>
>> On 13 Nov 2011, at 22:20, Alexander Barth wrote:
>>
>>> Dear Michele,
>>>
>>> I would like to try the suggestion of Filippone, but I sumbled upon a
>>> a segmentation fault for the following matri
On 13 Nov 2011, at 23:02, c. wrote:
>
> On 13 Nov 2011, at 22:20, Alexander Barth wrote:
>
>> Dear Michele,
>>
>> I would like to try the suggestion of Filippone, but I sumbled upon a
>> a segmentation fault for the following matrix multiplication:
>>
>> load test.mat % http://modb.oce.ulg.ac
On 13 Nov 2011, at 22:20, Alexander Barth wrote:
> Dear Michele,
>
> I would like to try the suggestion of Filippone, but I sumbled upon a
> a segmentation fault for the following matrix multiplication:
>
> load test.mat % http://modb.oce.ulg.ac.be/mediawiki/upload/Alex/test.matbut
> [i,j,s]=fi
On Sun, Nov 13, 2011 at 10:20 PM, Alexander Barth
wrote:
> On Sun, Nov 13, 2011 at 12:41 AM, Michele Martone
> wrote:
>> On 2012@18:25, Jordi Gutiérrez Hermoso wrote:
>>> On 12 November 2011 18:18, Carlo de Falco wrote:
>>> > On 12 Nov 2011, at 16:04, c. wrote:
>>> >> On 12 Nov 2011, at 12:1
On Sun, Nov 13, 2011 at 12:41 AM, Michele Martone
wrote:
> On 2012@18:25, Jordi Gutiérrez Hermoso wrote:
>> On 12 November 2011 18:18, Carlo de Falco wrote:
>> > On 12 Nov 2011, at 16:04, c. wrote:
>> >> On 12 Nov 2011, at 12:17, Alexander Barth wrote:
>> >
>> > It looks like it's workin
(OctDv list added - pls do reply all)
Nit Nit wrote:
> Hi Philip
>
> OK, I will adapt future binaries respectively after you will finalize
> and release the package to OF.
>
> A suggestion regarding the java jars directory - may be you can consider
> getting the directory name from an environment
On 13 November 2011 18:44, L. Markowsky wrote:
> I've uploaded version 0.3.0 of the fuzzy-logic-toolkit to the package
> release forum.
> When you have a chance, would you upload it to the server?
Done.
Carnë Draug
--
R
Hi,
I've uploaded version 0.3.0 of the fuzzy-logic-toolkit to the package release
forum.
When you have a chance, would you upload it to the server?
Thank you!
lmarkov
--
Nitzan,
Today I've added PKG_ADD & PKG_DEL to the io package, inspired by your
first versions.
I chose to simplify them (as outlined in earlier e-mails:
1. chk_spreadsheet_support.m was especially written to deal with
almost all hassle you've put in PKG_ADD. I'm very sorry for all your
effo
On 13 Nov 2011, at 12:13, Michele Martone wrote:
> I'm not an expert of your machine, but I find this speedup reasonable:
> librsb's the speedup is limited by memory speed.
> To have a rough estimate about it, could you please report the first
> lines `./rsbench -M' output ?
>
> e.g.: on an Atom
On 2013@12:13, Michele Martone wrote:
> ...
> e.g.: on an Atom N450, librsb's "parallel MEMCPY" speedup is 20% only:
> $./rsbench -M
> #1 cores MEMCPY on 17810773 bytes: 0.542651 GB/s (73 times in 2.39599 s)
> #2 cores MEMCPY on 17810773 bytes: 0.60361 GB/s (73 ti
On 2013@11:48, c. wrote:
> On 13 Nov 2011, at 11:17, Michele Martone wrote:
> > On 2013@10:55, Carlo de Falco wrote:
> > ...
> ...
> What values
>
> Processor Name: Intel Core 2 Duo
> Processor Speed: 2.4 GHz
> Number Of Processors: 1
>
I haven't analyzed this filter, but generally speaking the poles
theoretically being in the unit circle isn't a guarantee of stability
when it comes time to implement the filter as a difference equation.
When doing so, it is possible that round-off errors nudge those poles,
in actuality, outsid
On 13 Nov 2011, at 11:17, Michele Martone wrote:
> On 20111113@10:55, Carlo de Falco wrote:
>> $ RSB_USER_SET_MEM_HIERARCHY_INFO="L2:4/64/512K,L1:8/64/32K" octave -q
>> ...
>> How can I check whether the system is being actually handled in parallel?
>> ...
On 2013@10:55, Carlo de Falco wrote:
> ...
> How can I check whether the system is being actually handled in parallel?
Since librsb gives the user some room into tuning the matrix data structure
(for now, using environment variables; in the future -- one may think
about this), one may en
On 2013@10:55, Carlo de Falco wrote:
> $ RSB_USER_SET_MEM_HIERARCHY_INFO="L2:4/64/512K,L1:8/64/32K" octave -q
> ...
> How can I check whether the system is being actually handled in parallel?
> ...
You can influence the OpenMP environment:
OMP_NUM_THREADS=1 RSB_USER_
On 13 Nov 2011, at 10:55, Carlo de Falco wrote:
>
> How can I check whether the system is being actually handled in parallel?
well, "top" reports about 130% cpu usage for Octave while solving with librsb
and 99% when using libsparse so this might be a hint ...
c.
-
On 13 Nov 2011, at 09:42, c. wrote:
>
> On 13 Nov 2011, at 00:25, Jordi Gutiérrez Hermoso wrote:
>
>> That's a tiny sparse matrix. I'm curious about how the algorithm
>> scales. Can you try a couple of orders of magnitude larger?
> yes I will.
Hi,
This example solves a Laplace equation on a
On 13 Nov 2011, at 00:25, Jordi Gutiérrez Hermoso wrote:
> That's a tiny sparse matrix. I'm curious about how the algorithm
> scales. Can you try a couple of orders of magnitude larger?
yes I will.
> Also, what version of Octave is that? Are you working on dev or stable?
That's the default branc
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