minpack 19961126+dfsg1-2 source package in Ubuntu

Changelog

minpack (19961126+dfsg1-2) unstable; urgency=medium


  * Rewrite debian/rules using dh.
  * Inject compilation and linking flags from dpkg-buildflags.
  * Use autotools-dev to regenerate config.{sub,guess}. (Closes: #734575)
  * Multi-archify the package.
  * Remove incorrect dependency of minpack-dev on libc6-dev (the latter
    does not exist on !linux).
  * Add myself to Uploaders.
  * Bump to debhelper compat level 9.
  * Bump to Standards-Version 3.9.5.
  * Fix prototype of C function in tlmdif1.c example. (Closes: #698338)
  * Manpages: fix prototypes of C functions, and replace g77 by gfortran.

 -- Sébastien Villemot <email address hidden>  Thu, 03 Apr 2014 19:10:45 +0200

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
devel
Urgency:
Medium Urgency

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minpack_19961126+dfsg1-2.dsc 2.0 KiB 0ea9e827fafa0b6f9414907af0e64a25e06e46137d26edd183fe0d95f1d48edc
minpack_19961126+dfsg1.orig.tar.gz 461.1 KiB 7d10509cc0faefcbe38a06453cb13a40aaecd2bebc1594fb7ee0943429d8f6d1
minpack_19961126+dfsg1-2.debian.tar.xz 13.7 KiB 1b377a9effe87b52cf85c5ee6c2642ad7b73c30ccfe35c291a1b6e38455f3c06

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Binary packages built by this source

libminpack1: nonlinear equations and nonlinear least squares shared library

 Minpack includes software for solving nonlinear equations and
 nonlinear least squares problems. Five algorithmic paths each include
 a core subroutine and an easy-to-use driver. The algorithms proceed
 either from an analytic specification of the Jacobian matrix or
 directly from the problem functions. The paths include facilities for
 systems of equations with a banded Jacobian matrix, for least squares
 problems with a large amount of data, and for checking the consistency
 of the Jacobian matrix with the functions.
 .
 This package provides the shared library.

minpack-dev: nonlinear equations and nonlinear least squares static library

 Minpack includes software for solving nonlinear equations and
 nonlinear least squares problems. Five algorithmic paths each include
 a core subroutine and an easy-to-use driver. The algorithms proceed
 either from an analytic specification of the Jacobian matrix or
 directly from the problem functions. The paths include facilities for
 systems of equations with a banded Jacobian matrix, for least squares
 problems with a large amount of data, and for checking the consistency
 of the Jacobian matrix with the functions.
 .
 This package provides the headers, man pages, examples, and static library.