libdogleg 0.13-2build1 source package in Ubuntu

Changelog

libdogleg (0.13-2build1) bionic; urgency=medium

  * No-change rebuild against libsuitesparseconfig5

 -- Graham Inggs <email address hidden>  Sat, 30 Dec 2017 17:23:04 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Bionic
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
libdogleg_0.13.orig.tar.gz 20.3 KiB 5ec8c9ba0513a1295d4890e1e089804f6f622053198abcfdad3d8f1abd284298
libdogleg_0.13-2build1.debian.tar.xz 2.8 KiB 29bafad9f237a3bd7578dd7b4b2494e521c4cf1e2ee7401a01b854cc138120c0
libdogleg_0.13-2build1.dsc 2.1 KiB 6e35fef91c7711c9ff236a73e8a599a18e01daf6bcd12fc7ddefaa5b5adac269

Available diffs

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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: 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.
 .
 This package contains the documentation

libdogleg2: 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.

libdogleg2-dbgsym: debug symbols for libdogleg2