dsdp 5.8-9.1ubuntu2 source package in Ubuntu
Changelog
dsdp (5.8-9.1ubuntu2) xenial; urgency=medium * Cast INFO to int before storing it in the flag. LP: #1543982. -- Dimitri John Ledkov <email address hidden> Thu, 14 Apr 2016 12:52:28 +0100
Upload details
- Uploaded by:
- Dimitri John Ledkov
- Uploaded to:
- Xenial
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Xenial | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
dsdp_5.8.orig.tar.gz | 360.0 KiB | de82af5e2daec70c8bf653ea4872108850bebea25238a799e78289ff88f88e06 |
dsdp_5.8-9.1ubuntu2.debian.tar.xz | 6.6 KiB | a42f174cf2206ad6ecf6dcc0448521b6d3f90a6f23de0a932cbb330ad720bdeb |
dsdp_5.8-9.1ubuntu2.dsc | 1.7 KiB | 8be1d2de61725b58d8161beea52a8a2ab9a8e65d4c5e92f79b466b89bd566e18 |
Available diffs
Binary packages built by this source
- dsdp: No summary available for dsdp in ubuntu yakkety.
No description available for dsdp in ubuntu yakkety.
- dsdp-doc: No summary available for dsdp-doc in ubuntu zesty.
No description available for dsdp-doc in ubuntu zesty.
- libdsdp-5.8gf: No summary available for libdsdp-5.8gf in ubuntu zesty.
No description available for libdsdp-5.8gf in ubuntu zesty.
- libdsdp-dev: Software for Semidefinite Programming
The DSDP software is a free open source implementation of an interior-point
method for semidefinite programming. It provides primal and dual solutions,
exploits low-rank structure and sparsity in the data, and has relatively
low memory requirements for an interior-point method. It allows feasible
and infeasible starting points and provides approximate certificates of
infeasibility when no feasible solution exists. The dual-scaling
algorithm implemented in this package has a convergence proof and
worst-case polynomial complexity under mild assumptions on the
data. Furthermore, the solver offers scalable parallel performance for
large problems and a well documented interface. Some of the most popular
applications of semidefinite programming and linear matrix inequalities
(LMI) are model control, truss topology design, and semidefinite
relaxations of combinatorial and global optimization problems.
.
This package contains the header files for developers.