libdogleg 0.08-3 source package in Ubuntu
Changelog
libdogleg (0.08-3) unstable; urgency=low * Moved all docs, examples to libdogleg-doc (Closes: #735205) -- Dima Kogan <email address hidden> Mon, 13 Jan 2014 14:38:58 -0800
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Trusty | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| libdogleg_0.08-3.dsc | 2.1 KiB | 7e2575ca89083cd8127e2fb6dc5eb604d862f51082ff9d56601232bf69ef0984 |
| libdogleg_0.08.orig.tar.gz | 18.7 KiB | cc9fdc4b36bc676d93616f4c9613e21ac5b49ac8941fabece35f2457a21abe7b |
| libdogleg_0.08-3.debian.tar.gz | 2.2 KiB | 83186e53f62bf12d65a988d40cc2a2dcbc6bdb91168d804699f6c73476d78615 |
Available diffs
- diff from 0.08-2 to 0.08-3 (1.8 KiB)
No changes file available.
Binary packages built by this source
- libdogleg-dev: Powell's dog-leg nonlinear least squares solver for sparse matrices
Solves unconstrained nonlinear least squares problems using Powell's dog-leg
method. The user specifies a callback C function that returns the value and
gradients of the model function at a particular operating point. This library
takes a series of dog-leg steps to find a local minimum of the residual
surface.
.
This library works with sparse matrices, which makes it suitable for
efficiently solving very large problems.
.
Development files
- libdogleg-doc: No summary available for libdogleg-doc in ubuntu wily.
No description available for libdogleg-doc in ubuntu wily.
- libdogleg2: No summary available for libdogleg2 in ubuntu utopic.
No description available for libdogleg2 in ubuntu utopic.
- libdogleg2-dbg: Powell's dog-leg nonlinear least squares solver for sparse matrices
Solves unconstrained nonlinear least squares problems using Powell's dog-leg
method. The user specifies a callback C function that returns the value and
gradients of the model function at a particular operating point. This library
takes a series of dog-leg steps to find a local minimum of the residual
surface.
.
This library works with sparse matrices, which makes it suitable for
efficiently solving very large problems.
.
Debug symbols
