roboptim-announce — Announcements.

[roboptim-announce] New solver in roboptim

[Florent L. <fl...@la...>]

Dear roboptim users,

We are pleased to announce the creation of a new plugin implementing 
Levenberg-Marquardt algorithm for non-linear least square optimization 
problems.

The preliminary version can be found at
git://github.com/laas/roboptim-core-plugin-cminpack.git

This plugin wraps cminpack implementation. Although not tested 
comprehensively, you can start trying to use it and you are welcome to 
post any question on roboptim-user mailing list.

Best regards,

Florent Lamiraux

[roboptim-announce] RobOptim core and RobOptim trajectory available now in Fedora

[Thomas M. <tho...@gm...>]

RobOptim core and RobOptim trajectory have been pushed to the /stable/
repositories of Fedora 11/12.
It means that these two packages can be installed without any extra
configuration.

Available packages are:
- roboptim-core
- roboptim-core-devel
- roboptim-core-doc
- roboptim-trajectory
- roboptim-trajectory-devel
- roboptim-trajectory-doc

See http://roboptim.sourceforge.net/install for more information.

Please, notice that this change may takes several hours to be
propagated amongst Fedora servers.
-- 
Thomas Moulard

[roboptim-announce] Website update

[Thomas M. <tho...@gm...>]

RobOptim website has been updated.
The new page is clearer, easier to maintain and contains information
about installation (including the new Fedora prebuilt packages).

Hopefully, it should be easier from now on for newcomers to understand
what is RobOptim and how to use it.

You can check it out at: http://roboptim.sourceforge.net/
-- 
Thomas Moulard

[roboptim-announce] roboptim-trajectory-0.5 released

[Thomas M. <tho...@gm...>]

We are pleased to announce the release of RobOptim trajectory 0.5.

RobOptim provide C++ numerical optimization libraries for robotics.
RobOptim trajectory focuses on providing trajectory computation classes
and tools to define trajectory optimization problems.


Here are the compressed sources:
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.5.tar.gz   (560KB)
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.5.tar.bz2   (396KB)

Here are the GPG detached signatures[*]:
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.5.tar.gz.sig
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.5.tar.bz2.sig

Here are the MD5 and SHA1 checksums:

4cdd8c961002abe236ab5b12d269a4d2  roboptim-trajectory-0.5.tar.gz
7834e7b2ec1d04d273faef48047b10c8  roboptim-trajectory-0.5.tar.bz2
6984cc3a900994aef9679dc2ea6702d610254c63  roboptim-trajectory-0.5.tar.gz
6e9373e718d584427e8f8ef8ac096e24b1de1baa  roboptim-trajectory-0.5.tar.bz2

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

  gpg --verify roboptim-trajectory-0.5.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

  gpg --keyserver keys.gnupg.net --recv-keys FIXME

and rerun the `gpg --verify' command.
announce-gen: ../NEWS: no matching lines for `0.5'

This release was bootstrapped with the following tools:
  Autoconf 2.63
  Automake 1.11.1
  Libtool 2.2.6b

../NEWS

New in 0.5, 2010-02-17:
* New generic cubic spline implementation.

-- 
Thomas Moulard

[roboptim-announce] RobOptim core accepted in Fedora testing

[Thomas M. <tho...@gm...>]

We are pleased to announce that RobOptim core is now available in
Fedora testing.
This update concerns Fedora 11, Fedora 12 and the upcoming Fedora 13.

Package information are available at:
https://admin.fedoraproject.org/pkgdb/packages/name/roboptim-core

Fedora specific bug reports can also be submitted through this page.

To enable Fedora testing repository on your computer, please follow the
instructions available at: http://fedoraproject.org/wiki/QA/Updates_Testing
Then, you can install roboptim-core and roboptim-core-devel like any
other packages.

If enough users find the package stable enough (by reporting positive feedback
through the package web page), it will be moved to the stable repository
which is enabled by default.

Please do not hesitate to report any problem to
``rob...@li...''
or through the Fedora ticketing system[1].

[1] https://admin.fedoraproject.org/pkgdb/packages/bugs/roboptim-core
-- 
Thomas Moulard

[roboptim-announce] roboptim-trajectory-0.4 released

[<tho...@gm...>]

We are pleased to announce the release of RobOptim trajectory 0.4.

RobOptim provide C++ numerical optimization libraries for robotics.
RobOptim trajectory focuses on providing trajectory computation classes
and tools to define trajectory optimization problems.


Here are the compressed sources:
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.4.tar.gz   (520KB)
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.4.tar.bz2   (404KB)

Here are the GPG detached signatures[*]:
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.4.tar.gz.sig
  http://dl.sourceforge.net/roboptim/roboptim-trajectory-0.4.tar.bz2.sig

Here are the MD5 and SHA1 checksums:

6d0778c7c81395bc44b5f9042bfc6ead  roboptim-trajectory-0.4.tar.gz
14d18a480c1631b7c0896885907e0c5e  roboptim-trajectory-0.4.tar.bz2
570da1cbe1967740302ac6561479a2381320dcc5  roboptim-trajectory-0.4.tar.gz
9d28095b22365ba35a64733871b9e56f852eec78  roboptim-trajectory-0.4.tar.bz2

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

  gpg --verify roboptim-trajectory-0.4.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

  gpg --keyserver keys.gnupg.net --recv-keys B140BA9E

and rerun the `gpg --verify' command.
announce-gen: ../NEWS: no matching lines for `0.4'

This release was bootstrapped with the following tools:
  Autoconf 2.63
  Automake 1.11
  Libtool 2.2.6


You can fetch the unbootstrapped source code with git by using the
following commands:

$ git clone git://roboptim.git.sourceforge.net/gitroot/roboptim/trajectory.git
$ cd roboptim-trajectory
$ git checkout v0.4


NEWS:
New in 0.4, 2009-11-16:
* Fixed /severe/ computation bugs.
* Clean interface.
* Document.
* Misc. bug fix.

-- 
Thomas Moulard

[roboptim-announce] roboptim-core-0.4 released

[<tho...@gm...>]

We are pleased to announce the release of RobOptim core 0.4.

RobOptim provide C++ numerical optimization libraries for robotics.
RobOptim core focuses on providing abstractions for optimization problem
definition and infrastructure to allow the use of existing solvers as
a back-end.

Here are the compressed sources:
  http://dl.sourceforge.net/roboptim/roboptim-core-0.4.tar.gz   (488KB)
  http://dl.sourceforge.net/roboptim/roboptim-core-0.4.tar.bz2   (396KB)

Here are the GPG detached signatures[*]:
  http://dl.sourceforge.net/roboptim/roboptim-core-0.4.tar.gz.sig
  http://dl.sourceforge.net/roboptim/roboptim-core-0.4.tar.bz2.sig

Here are the MD5 and SHA1 checksums:

9c028dbf51fc446392a86de7e826a50c  roboptim-core-0.4.tar.gz
76803e842f30cf60536e5ba232f142d2  roboptim-core-0.4.tar.bz2
0942a5f59a031e7f8fa9bb95d9def81e014b7e5a  roboptim-core-0.4.tar.gz
9a3a44a5f3c43421c0c87ecbedfa698dbe8eae9d  roboptim-core-0.4.tar.bz2

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

  gpg --verify roboptim-core-0.4.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

  gpg --keyserver keys.gnupg.net --recv-keys FIXME

and rerun the `gpg --verify' command.

This release was bootstrapped with the following tools:
  Autoconf 2.63
  Automake 1.11
  Libtool 2.2.6

You can fetch the unbootstrapped source code with git by using the
following commands:

 $ git clone git://roboptim.git.sourceforge.net/gitroot/roboptim/core.git
 $ cd roboptim-core
 $ git checkout v0.4

NEWS:
New in 0.4, 2009-11-16:
* Make plug-in loading more robust.
* Enhanced gradient checks.
* Handle symbol visibility under Linux properly.
* Uniformized floating point number display.
* Bug fix

-- 
Thomas Moulard

[roboptim-announce] roboptim-core 0.3 released

[Thomas M. <tho...@gm...>]

The RobOptim team is pleased to announce the stable release of
roboptim-core 0.3.

RobOptim is a generic C++ non-linear optimization library which
focuses on humanoid robotics' optimization problems.  The "core" level
is generic and solve generic non-linear optimization problems.

This version of roboptim-core is distributed under LGPLv3 license.

This is the third public release of this software which should be much
more stable than the previous ones. As the last release was done
about six months ago, many changes have been made to the library
and it is recommended to update your code to this new version.

Please report any problems to the rob...@li...
mailing list. In particular, if 'make check' fails, attaching the
resulting ``tests/testsuite.log'' file is an integral part of a good bug
report.

Homepage: http://roboptim.sourceforge.net/
On-line documentation: http://roboptim.sourceforge.net/doc/core/0.3/

Here are the compressed sources:
  http://sourceforge.net/projects/roboptim/files/roboptim-core/0.3/roboptim-core-0.3.tar.gz/download
  (472KB)
  http://sourceforge.net/projects/roboptim/files/roboptim-core/0.3/roboptim-core-0.3.tar.bz2/download
  (380KB)

Here are the GPG detached signatures[*]:
  http://sourceforge.net/projects/roboptim/files/roboptim-core/0.3/roboptim-core-0.3.tar.gz.sig/download
  http://sourceforge.net/projects/roboptim/files/roboptim-core/0.3/roboptim-core-0.3.tar.bz2.sig/download

Here are the MD5 and SHA1 checksums:

26a3fb1850e1619655674b180f212845  roboptim-core-0.3.tar.gz
2e46f0bd4d5dfe1e7b767ebabce56670  roboptim-core-0.3.tar.bz2
28152754e99dee0a3d2466ae9fb0b91968cbeb04  roboptim-core-0.3.tar.gz
694525b0c7b72ebe77285c30fac29950f3b5c384  roboptim-core-0.3.tar.bz2

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

  gpg --verify roboptim-core-0.3.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

  gpg --keyserver keys.gnupg.net --recv-keys B140BA9E

and rerun the `gpg --verify' command.

This release was bootstrapped with the following tools:
  Autoconf 2.63
  Automake 1.11
  Libtool 2.2.6

../NEWS

New in 0.3, 2009-09-25:
* Finite difference gradients
* New kinds of functions: constant, identity function.
* Enhance display of problem, solver, functions.
* Experimental support for parametrized functions.
* Numerous bug fixes.

--
Thomas Moulard

[roboptim-announce] Release 0.2

[Thomas M. <tho...@gm...>]

The RobOptim team is pleased to announce the stable release of
roboptim-core 0.2, roboptim-core-ipopt-plugin 0.2 and roboptim-trajectory-0.2.1.
The roboptim-cfsqp-plugin 0.2 version has also been released, however
due to CFSQP license, this package can not be made available online.

RobOptim is a generic C++ non-linear optimization
library which focuses on humanoid robotics' optimization problems.
The "core" level is generic and solve generic non-linear problems.

This release is the second public release. Hence, it is expected that
the packages will contain several bugs and that some features will be
missing. In particular, as long as the software has not reached the
release 1.0, the libraries will *not* be backward compatible.
It is mainly due to the fact that the interface is not yet normalized.
Thank you for your comprehension.

This version of roboptim-core, roboptim-core-ipopt-plugin and
roboptim-trajectory are distributed under LGPLv3 license.

Please report any problems to the rob...@li...
mailing list.
In particular, if 'make check' fails, attaching the resulting file
tests/testsuite.log is an integral part of a good bug report.

Home page: http://roboptim.sourceforge.net/
On-line documentation:
* roboptim-core: http://roboptim.sourceforge.net/doc/core/0.2/
* roboptim-core-ipopt-plugin:
http://roboptim.sourceforge.net/doc/core-plugin/ipopt/0.2/
* roboptim-trajectory: http://roboptim.sourceforge.net/doc/trajectory/0.2.1/

Here are the compressed sources:
 roboptim-core-0.2.tar.bz2:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-0.2.tar.bz2&a=49302060
(608K)
 roboptim-core-0.2.tar.gz:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-ipopt-plugin-0.2.tar.gz&a=54710380
(764K)
 roboptim-core-ipopt-plugin-0.2.tar.bz2:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-ipopt-plugin-0.2.tar.bz2&a=90216690
(288K)
 roboptim-core-ipopt-plugin0.2.tar.gz:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-ipopt-plugin-0.2.tar.gz&a=54710380
(372K)
 roboptim-trajectory-0.2.1.tar.bz2:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-trajectory-0.2.1.tar.bz2&a=5257146
(312K)
 roboptim-trajectory-0.2.1.tar.gz:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-trajectory-0.2.1.tar.gz&a=44333591
(396K)

Here are the GPG detached signatures[*]:
 roboptim-core-0.2.tar.bz2.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-0.2.tar.bz2.sig&a=84362699
 roboptim-core-0.2.tar.gz.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-0.2.tar.gz.sig&a=90142439
 roboptim-core-ipopt-plugin-0.2.tar.bz2.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-ipopt-plugin-0.2.tar.bz2.sig&a=97071612
 roboptim-core-ipopt-plugin0.2.tar.gz.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-core-ipopt-plugin-0.2.tar.gz.sig&a=33423445
 roboptim-trajectory-0.2.1.tar.bz2.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-trajectory-0.2.1.tar.bz2.sig&a=49032951
 roboptim-trajectory-0.2.1.tar.gz.sig:
https://sourceforge.net/project/downloading.php?group_id=259573&filename=roboptim-trajectory-0.2.1.tar.gz.sig&a=49921305

Here are the MD5 and SHA1 checksums:
b31b619539944af611dba7c0d14eef44  roboptim-core-0.2.tar.bz2
524249be73302241dad2704bea52573d  roboptim-core-0.2.tar.gz
cb65b7119f218521da50608fbda05c64  roboptim-core-ipopt-plugin-0.2.tar.bz2
a5661b4624a44cb886221665b4dce404  roboptim-core-ipopt-plugin-0.2.tar.gz
eae4a9499c676494da77d161d6fa12b7  roboptim-trajectory-0.2.1.tar.bz2
58d1a1ca1759612dd4e7adcf8f68d30e  roboptim-trajectory-0.2.1.tar.gz

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

 gpg --verify roboptim-core-0.2.tar.gz.sig
 gpg --verify roboptim-core-ipopt-plugin-0.2.tar.gz.sig
 gpg --verify roboptim-trajectory-0.2.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

 gpg --keyserver keys.gnupg.net --recv-keys B140BA9E

and rerun the `gpg --verify' command.

Known issues (roboptim-trajectory-0.2.1):
* Gradient computation is not working in the spline class.

./roboptim-core/NEWS

New in 0.2, 2009-05-03:
* New plug-in system
* Can export functions to Gnuplot.
* New N times derivable function.

./roboptim-core-ipopt-plugin/NEWS

New in 0.2, 2009-05-03:
* Implementation of the IPOPT bridge.

New in 0.2.1, 2009-05-03:
* Abstract classes for costs on states and trajectories.
* Implementation of the cost on a trajectory as the sum of costs on different
  specified points.
* Import trajectory prototype structures and algorithms (by Florent Lamiraux).
* Import cubic spline implementation (by Sylvain Miossec).
--
Thomas Moulard

[roboptim-announce] [roboptim-core] release 0.1

[Thomas M. <tho...@gm...>]

The RobOptim team is pleased to announce the stable release of
roboptim-core 0.1. RobOptim is a generic C++ non-linear optimization
library which focuses on humanoid robotics' optimization problems.
The "core" level is generic and solve generic non-linear problems.

This release is the first public release. Hence, it is expected that
the package will contain several bugs and that some features will be
missing.

This version of roboptim-core is distributed under LGPLv3 license.

Please report any problems to the rob...@li...
mailing list.
In particular, if 'make check' fails, attaching the resulting file
tests/testsuite.log is an integral part of a good bug report.

Home page: http://roboptim.sourceforge.net/
On-line documentation: http://roboptim.sourceforge.net/doc/0.1/

Here are the compressed sources:
 roboptim-core-0.1.tar.bz2: http://tinyurl.com/c9gnnq (336K)
 roboptim-core-0.1.tar.gz: http://tinyurl.com/cynukn (428K)

Here are the GPG detached signatures[*]:
 roboptim-core-0.1.tar.bz2.sig: http://tinyurl.com/cd2mk8
 roboptim-core-0.1.tar.gz.sig: http://tinyurl.com/csgfrb

Here are the MD5 and SHA1 checksums:
5f96304e0242c883745f13b1fb2fbaa9 roboptim-core-0.1.tar.bz2
bf204511515ce38ae7127f5f611aab46 roboptim-core-0.1.tar.gz
e8fcf18f3d2704d3c68e65f216f5c62d9369f7e9 roboptim-core-0.1.tar.bz2
5645a41ebc0b7bac4b5714b1c13842a94327bc6a roboptim-core-0.1.tar.gz

[*] You can use either of the above signature files to verify that
the corresponding file (without the .sig suffix) is intact.  First,
be sure to download both the .sig file and the corresponding tarball.
Then, run a command like this:

 gpg --verify roboptim-core-0.1.tar.gz.sig

If that command fails because you don't have the required public key,
then run this command to import it:

 gpg --keyserver keys.gnupg.net --recv-keys B140BA9E

and rerun the `gpg --verify' command.

./NEWS

New in 0.1, 04/17/2009:
* Shared interface definition.
* Implementation of the CFSQP bridge.
* Implementation of the Ipopt bridge.
-- 
Thomas Moulard

[roboptim-announce] Test

[Thomas M. <tho...@gm...>]

This is a test.
-- 
Thomas Moulard
http://www.linkedin.com/in/moulard