Your message dated Tue, 28 Oct 2025 18:00:29 +0000
with message-id <[email protected]>
and subject line Bug#745758: fixed in casadi 3.7.0+ds2-3
has caused the Debian Bug report #745758,
regarding ITP: casadi -- symbolic framework for algorithmic differentiation and
numerical optimization
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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--
745758: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=745758
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message ---
Package: wnpp
Owner: Greg Horn <[email protected]>
Severity: wishlist
* Package name : casadi
Version : 2.0.0
Upstream Author : Joel Anderson <[email protected]>
Joris Gillis <[email protected]>
Greg Horn <[email protected]>
* URL : http://www.casadi.org
* License : LGPL-3
Programming Lang: C++ with Python bindings
Description : symbolic framework for algorithmic differentiation and
numerical optimization
CasADi is a symbolic framework for algorithmic differentiation and numeric
optimization. Using the syntax of computer algebra systems, it allows users
to construct symbolic expressions consisting of either scalar- or (sparse)
matrix-valued operations. These expressions can then be efficiently
differentiated using state-of-the-art algorithms for algorithmic
differentiation
in forward and reverse modes and graph coloring techniques for generating
complete, large and sparse Jacobians and Hessians.
The main purpose of the tool is to be a low-level tool for quick, yet highly
efficient implementation of algorithms for nonlinear numerical optimization.
Of particular interest is dynamic optimization, using either a collocation
approach, or a shooting-based approach using embedded ODE/DAE-integrators.
In either case, CasADi aims to relieve the user from the work of manually
calculating the relevant derivatives or ODE/DAE sensitivity information
as needed by an NLP solver. This drastically reduces the effort of
implementing
the methods compared to a pure C/C++/Fortran approach.
* why is this package useful/relevant? is it a dependency for
another package? do you use it? if there are other packages
providing similar functionality, how does it compare?
This code is the result of extensive work in 3 PhDs. CasADi is in active
development by us, and very active use by us and others. There is currently
a
respectable user base within a few universities and companies, including
some leaders in the field of dynamic optimization. We have interacted with
many
people who want to use the code but have trouble building from source, so
Debian
packaging will definitely facilitate this.
There are other collateral benefits to this package. For instance we provide
a convenient and efficient interface to IPOPT (coinor-libipopt package). We
also provide stand-alone efficient algorithmic differentiation in C++
and Python.
* how do you plan to maintain it? inside a packaging team
(check list at https://wiki.debian.org/Teams)? are you
looking for co-maintainers? do you need a sponsor?
We intend to reach out to the DebianScience team and the debian-mentors
mailing
list for advice. We aren't sure if it makes more sense to be part of a team
or
to get a sponsor. I would like to learn how to become a Debian packager.
--- End Message ---
--- Begin Message ---
Source: casadi
Source-Version: 3.7.0+ds2-3
Done: Roland Mas <[email protected]>
We believe that the bug you reported is fixed in the latest version of
casadi, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Roland Mas <[email protected]> (supplier of updated casadi package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Wed, 13 Aug 2025 01:18:12 +0200
Source: casadi
Binary: casadi casadi-dbgsym libcasadi-dev libcasadi3.7 libcasadi3.7-dbgsym
python3-casadi python3-casadi-dbgsym
Architecture: source amd64
Version: 3.7.0+ds2-3
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers
<[email protected]>
Changed-By: Roland Mas <[email protected]>
Description:
casadi - Nonlinear optimization and algorithmic differentiation
libcasadi-dev - Nonlinear optimization and algorithmic differentiation -
developm
libcasadi3.7 - Nonlinear optimization and algorithmic differentiation
python3-casadi - Nonlinear optimization and algorithmic differentiation -
Python b
Closes: 745758
Changes:
casadi (3.7.0+ds2-3) unstable; urgency=medium
.
* Add missing info to debian/copyright.
.
casadi (3.7.0+ds2-2) unstable; urgency=medium
.
* Build ipopt plugin.
* Fixes to library handling.
.
casadi (3.7.0+ds2-1) unstable; urgency=medium
.
* Unvendor everything. See git history for how to undo that if more
plugins need to be compiled in.
* Reimport from upstream, filtering out the external_packages libs.
.
casadi (3.7.0+ds1-1) unstable; urgency=medium
.
* Use system-provided libtinyxml2.
* Use system-provided libdsdp.
* Use system-provided libipopt.
* Complete debian/copyright.
* Reimport from upstream, filtering out the unvendored libs.
.
casadi (3.7.0-1) unstable; urgency=medium
.
* Initial release. (Closes: #745758).
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Files:
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casadi-dbgsym_3.7.0+ds2-3_amd64.deb
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casadi_3.7.0+ds2-3_amd64.deb
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