Difference between revisions of "Relax 3.3.1"

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= See also =
 
= See also =
  
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* [http://www.nmr-relax.com/api/3.3/ The relax 3.3 API documentation]
 
{{:relax release see also}}
 
{{:relax release see also}}
 
[[Category:Relaxation dispersion analysis]]
 
[[Category:Relaxation dispersion analysis]]

Revision as of 10:36, 26 November 2014


Description

This is a minor feature and bugfix release. It includes the addition of the error_analysis.covariance_matrix, structure.align, and structure.mean user functions and expanded functionality for the structure.com and structure.delete user functions. Many operations involving the internal structural object are now orders of magnitude faster, with the interatom.define user function showing the greatest speed ups. There are also improvements for helping to upgrade relax scripts to newer relax versions. The numdifftools package is now bundled with relax for allowing numerical gradient, Hessian and Jacobian matrices to be calculated. And the release includes the start of a new protocol for iteratively analysing repetitive relaxation dispersion experiments.


Download

The new relax versions can be downloaded from http://www.nmr-relax.com/download.html. If binary distributions are not yet available for your platform and you manage to compile the binary modules, please consider contributing these to the relax project (described in section 3.6 of the relax manual, http://www.nmr-relax.com/manual/relax_distribution_archives.html).


CHANGES file

Version 3.3.1
(9 October 2014, from /trunk)
http://svn.gna.org/svn/relax/tags/3.3.1


Features


Changes


Bugfixes


Links

For reference, the announcement for this release can also be found at following links:

Softpedia also has information about the newest relax releases:


Announcements

If you would like to receive announcements about new relax versions, please subscribe to the relax announcement mailing list. This list only receives ~10 emails per year. It is archived at the SourceForge archives and in The Mail Archive.


See also