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Bug#741078: marked as done (ITP: lmfit-py -- Least-Squares Minimization with Constraints)

Your message dated Thu, 11 Sep 2014 11:00:08 +0000
with message-id <E1XS26i-00069i-Mc@franck.debian.org>
and subject line Bug#741078: fixed in lmfit-py 0.7.4+dfsg.2-1
has caused the Debian Bug report #741078,
regarding ITP: lmfit-py -- Least-Squares Minimization with Constraints
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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-- 
741078: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=741078
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message --- 
Package: wnpp
Severity: wishlist
Owner: "Picca Frédéric-Emmanuel" <picca@debian.org>

* Package name    : lmfit-py
  Version         : 0.7.4
  Upstream Author : matt.newville@gmail.com
* URL             : http://lmfit.github.io/lmfit-py/
* License         : EXPAT
  Programming Lang: Python
  Description     : Least-Squares Minimization with Constraints

 The lmfit Python package provides a simple, flexible interface to
 non-linear optimization or curve fitting problems. The package
 extends the optimization capabilities of scipy.optimize by replacing
 floating pointing values for the variables to be optimized with
 Parameter objects. These Parameters can be fixed or varied, have
 upper and/or lower bounds placed on its value, or written as an
 algebraic expression of other Parameters.
 .
 The principal advantage of using Parameters instead of simple
 variables is that the objective function does not have to be
 rewritten to reflect every change of what is varied in the fit, or
 what relationships or constraints are placed on the Parameters. This
 means a scientific programmer can write a general model that
 encapsulates the phenomenon to be optimized, and then allow user of
 that model to change what is varied and fixed, what range of values
 is acceptable for Parameters, and what constraints are placed on the
 model. The ease with which the model can be changed also allows one
 to easily test the significance of certain Parameters in a fitting
 model.
 .
 The lmfit package allows a choice of several optimization methods
 available from scipy.optimize. The default, and by far best tested
 optimization method used is the Levenberg-Marquardt algorithm from
 from MINPACK-1 as implemented in scipy.optimize.leastsq. This method
 is by far the most tested and best support method in lmfit, and much
 of this document assumes this algorithm is used unless explicitly
 stated. An important point for many scientific analysis is that this
 is only method that automatically estimates uncertainties and
 correlations between fitted variables from the covariance matrix
 calculated during the fit.
 .
 A few other optimization routines are also supported, including
 Nelder-Mead simplex downhill, Powell's method, COBYLA, Sequential
 Least Squares methods as implemented in scipy.optimize.fmin, and
 several others from scipy.optimize. In their native form, some of
 these methods setting allow upper or lower bounds on parameter
 variables, or adding constraints on fitted variables. By using
 Parameter objects, lmfit allows bounds and constraints for all of
 these methods, and makes it easy to swap between methods without
 hanging the objective function or set of Parameters.
 .
 Finally, because the approach derived from MINPACK-1 usin the
 covariance matrix to determine uncertainties is sometimes questioned
 (and sometimes rightly so), lmfit supports methods to do a brute
 force search of the confidence intervals and correlations for sets of
 parameters.

This package will be maintained under the debian-science umbrella

Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-science/packages/lmfit-
py.git
Vcs-Git: git://anonscm.debian.org/debian-science/packages/lmfit-py.git

--- End Message ---
--- Begin Message --- 
Source: lmfit-py
Source-Version: 0.7.4+dfsg.2-1

We believe that the bug you reported is fixed in the latest version of
lmfit-py, 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 741078@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Picca Frédéric-Emmanuel <picca@debian.org> (supplier of updated lmfit-py 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 ftpmaster@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

Format: 1.8
Date: Fri, 07 Mar 2014 09:05:26 +0200
Source: lmfit-py
Binary: python-lmfit python3-lmfit python-lmfit-doc
Architecture: source all
Version: 0.7.4+dfsg.2-1
Distribution: unstable
Urgency: low
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Changed-By: Picca Frédéric-Emmanuel <picca@debian.org>
Description: 
 python-lmfit - Least-Squares Minimization with Constraints (Python 2)
 python-lmfit-doc - Least-Squares Minimization with Constraints (Python 3)
 python3-lmfit - Least-Squares Minimization with Constraints (Python 3)
Closes: 741078
Changes: 
 lmfit-py (0.7.4+dfsg.2-1) unstable; urgency=low
 .
   * Initial release (Closes: #741078)
Checksums-Sha1: 
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 07897e713930f9c52404fe030fdf45ccbe9dffb2 366307 lmfit-py_0.7.4+dfsg.2.orig.tar.gz
 67343662a1a05b11109ad990b1139f553b12ee8c 4252 lmfit-py_0.7.4+dfsg.2-1.debian.tar.xz
 513fcf6fc2eec54e5f022969cf767dedbc2b1ac9 63040 python-lmfit_0.7.4+dfsg.2-1_all.deb
 ee2a1bb68b8d3640c1b2c95bdbd2b76395ff8e88 63124 python3-lmfit_0.7.4+dfsg.2-1_all.deb
 fc4e45642ed953ab8a0855859088a039d598b2bd 137740 python-lmfit-doc_0.7.4+dfsg.2-1_all.deb
Checksums-Sha256: 
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 6e3b939e7f18177f8a8120d0e6e8217fd95e5ce782b503efca8f38c6a5284ccc 366307 lmfit-py_0.7.4+dfsg.2.orig.tar.gz
 a1b10f0e00be0ba90cad2a3612a19bf66f33c64d79403a6c1b0f1ec3b0071908 4252 lmfit-py_0.7.4+dfsg.2-1.debian.tar.xz
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 d98e61bb768106da523691fa3a76d00464b6fd37b23ab9e25352839148049ffb 137740 python-lmfit-doc_0.7.4+dfsg.2-1_all.deb
Files: 
 186681b64573715e0ae550168f4b3244 1679 science extra lmfit-py_0.7.4+dfsg.2-1.dsc
 8f0eca6ffe278a9b5434304ce5807238 366307 science extra lmfit-py_0.7.4+dfsg.2.orig.tar.gz
 7cca8f3b12ce2096af300e0bafdbbebd 4252 science extra lmfit-py_0.7.4+dfsg.2-1.debian.tar.xz
 c9189f6f6dc49ab4707fed1b2d873311 63040 python extra python-lmfit_0.7.4+dfsg.2-1_all.deb
 fe799ae748a0704471512ea2e2486495 63124 python extra python3-lmfit_0.7.4+dfsg.2-1_all.deb
 a3fc4c6e785a05cd276f1f4b615dd3e8 137740 doc extra python-lmfit-doc_0.7.4+dfsg.2-1_all.deb

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