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Commit ce5f9ac3 authored by Tammy Kolda's avatar Tammy Kolda
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Merge branch 'version_3.1_prep' into 'master' 

Preparing for version 3.1

See merge request !37
parents 9f5dc08f b353600d
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Contents.m
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% Tensor Toolbox (Sandia National Labs)
% Version 3.0-dev 26-Apr-2019
% Version 3.1 04-Jun-2019
% Tensor Toolbox for dense, sparse, and decomposed n-way arrays.
%
% Tensor Toolbox Classes:
......
README.md
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# MATLAB Tensor Toolbox, Version 3.0-dev
# MATLAB Tensor Toolbox, Version 3.1
Tensors (also known as multidimensional arrays or N-way arrays) are used in a
variety of applications ranging from chemometrics to network analysis.
......@@ -40,8 +40,8 @@ Thanks very much for your support.
__General software reference, should always be cited:__
Brett W. Bader, Tamara G. Kolda and others.
MATLAB Tensor Toolbox Version 3.0-dev,
Available online, August 2017.
MATLAB Tensor Toolbox Version 3.1,
Available online, June 2019.
URL: https://gitlab.com/tensors/tensor_toolbox.
_Consider adding the short hash for the exact version that was used.
If you clone the repository, use the command
......@@ -269,8 +269,10 @@ Version 2.6._
### Download
Version 3.0-dev can be obtained here by cloning or downloading using the buttons
above. There is not yet an official release 3.0.
The latest release can be obtained by clicking
[Releases](https://gitlab.com/tensors/tensor_toolbox/releases) at left.
The latest development version can be obtained here by cloning or
downloading using the buttons above.
Version 2.6 and earlier can be obtained
[here](http://www.sandia.gov/~tgkolda/TensorToolbox/index-2.6.html).
......@@ -289,5 +291,5 @@ software, as highlighted in the image below.
![Navigating MATLAB Help Screen](doc/images/helpscreen.PNG "Navigating MATLAB Help Screen")
Copyright 2017, Sandia Corporation.
Copyright 2019, Sandia Corporation.
RELEASE_NOTES.txt
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Tensor Toolbox version 3.0-dev
by Brett W. Bader, Tamara G. Kolda, Jimeng Sun, Evrim Acar,
Daniel M. Dunlavy, Eric C. Chi, Jackson Mayo, et al.
Copyright 2017, Sandia National Laboratories.
Development version as of August 12, 2017
Tensor Toolbox version 3.1
by Brett W. Bader, Tamara G. Kolda, Evrim Acar, Daniel M. Dunlavy, et al.
Copyright 2019, Sandia National Laboratories.
============================================
Changes from Version 2.6 (February 6, 2015)
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doc/html/bibtex.html
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......@@ -16,10 +16,10 @@
<p id="TTB_Software"><pre class="bibtex">@misc{TTB_Software,
author = {Brett W. Bader and Tamara G. Kolda and others},
title = {MATLAB Tensor Toolbox Version 3.0-dev},
title = {MATLAB Tensor Toolbox Version 3.1},
howpublished = {Available online},
month = oct,
year = {2017},
month = jun,
year = {2019},
url = {https://www.tensortoolbox.org}
}</pre></p>
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doc/html/getting_started.html
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......@@ -22,9 +22,10 @@
<p>The software has recently moved to GITLAB:
<a href="http://gitlab.com/tensors/tensor_toolbox"
>http://gitlab.com/tensors/tensor_toolbox</a>.
The latest development realease can be obtained here by
cloning or downloading. There is not yet an official release
3.0. Version 2.6 and earlier can be obtained
Official releases can be obtained by visiting the <a href="https://gitlab.com/tensors/tensor_toolbox/releases">Releases</a> page.
The latest development realease can be obtained by
cloning or downloading from the main GITLAB page.
Version 2.6 and earlier can be obtained
<a href="http://www.sandia.gov/~tgkolda/TensorToolbox/index-2.6.html"
>here</a>.</p>
......@@ -55,16 +56,21 @@
<p class="center"><img src="helpscreen.PNG" alt="Navigating
MATLAB Help Screen" title="Navigating MATLAB Help Screen" /></p>
<h3 id="whats-new">What's new in Version 3.0?</h3>
<h3 id="whats-new">What's new in Version 3.1?</h3>
<p>Version 3.0 adds</p>
<p>Version 3.1 adds</p>
<ul>
<li>New location on GITLAB
<li>New classes and functions for symmetric
tensors: <tt>symtensor</tt>, <tt>symktensor</tt>, <tt>cp_sym</tt></li>
<li>New class for sums of different tensor types: <tt>sumtensor</tt></li>
<li>Function to compute HOSVD and ST-HOSVD: <tt>hosvd</tt></li>
<li>New location on GITLAB plus open source BSD licence.
<li>New classes and functions for symmetric
tensors: <tt>symtensor</tt>, <tt>symktensor</tt>, <tt>cp_sym</tt>, <tt>tucker_sym</tt></li>
<li>New class for sums of different tensor types: <tt>sumtensor</tt></li>
<li>Function to compute HOSVD and ST-HOSVD: <tt>hosvd</tt></li>
<li>New function for CP with alternating <em>randomized</em> least squares(also known as CPRAND): <tt>cp_arls</tt></li>
<li>New generalized CP, including stochastic version: <tt>gcp_opt</tt></li>
<li>New method for creating binary problems where the nonnegative model tensor represents the <em>odds</em> of seeing a one: <tt>create_problem_binary</tt>
<li>Added methods to create all-ones sparse tensor that has the same pattern as a given sparse tensor: <tt>sptensor/spones</tt></li>
<li>New function to vizualize CP-decompoised Kruskal tensors: <tt>ktensor/viz</tt> </li>
</ul>
<p>We have also fixed many bugs. View the
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doc/html/helptoc.xml
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<?xml version='1.0' encoding='ISO-8859-1' ?>
<!-- $Revision: 1.1 $ $Date: 2006/08/30 23:22:37 $ -->
<toc version="1.0">
<toc version="3.1">
<tocitem target="index.html" >Tensor Toolbox
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doc/html/index.html
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......@@ -134,7 +134,7 @@
We will try to respond to every email may not always be successful due to the volume of emails.
</div>
<div class="footer">
<p>Copyright 2017, Sandia Corporation.</p>
<p>Copyright 2019, Sandia Corporation.</p>
</div>
</body>
</html>
info.xml
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......@@ -3,7 +3,7 @@
xsi:noNamespaceSchemaLocation="optional">
<?xml-stylesheet type="text/xsl" href="optional"?>
<matlabrelease>R2016a</matlabrelease>
<matlabrelease>R2018a</matlabrelease>
<name>Tensor</name>
<type>toolbox</type>
<icon>$toolbox/matlab/icons/unknownicon.gif</icon>
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maintenance/create_topcontents.m
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......@@ -4,7 +4,7 @@ function create_topcontents
%% Open main contents file
fidmain = fopen('../Contents.m','w');
fprintf(fidmain,'%% Tensor Toolbox (Sandia National Labs)\n');
fprintf(fidmain,'%% Version 3.0-dev %s\n', date);
fprintf(fidmain,'%% Version 3.1 %s\n', date);
fprintf(fidmain,'%% Tensor Toolbox for dense, sparse, and decomposed n-way arrays.\n');
fprintf(fidmain,'%% \n');
fprintf(fidmain,'%% Tensor Toolbox Classes:\n');
......
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