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From build...@apache.org
Subject svn commit: r800749 - /websites/staging/airavata/trunk/content/airavata/documentation/system/interesting-workflow-samples.html
Date Thu, 22 Dec 2011 04:48:15 GMT
Author: buildbot
Date: Thu Dec 22 04:48:14 2011
New Revision: 800749

Log:
Staging update by buildbot

Modified:
    websites/staging/airavata/trunk/content/airavata/documentation/system/interesting-workflow-samples.html

Modified: websites/staging/airavata/trunk/content/airavata/documentation/system/interesting-workflow-samples.html
==============================================================================
--- websites/staging/airavata/trunk/content/airavata/documentation/system/interesting-workflow-samples.html
(original)
+++ websites/staging/airavata/trunk/content/airavata/documentation/system/interesting-workflow-samples.html
Thu Dec 22 04:48:14 2011
@@ -141,8 +141,8 @@ eg. Assume that you selected the SimpleM
 <p>Similarly, other workflows can be executed.</p>
 </li>
 </ol>
-<h2 id="tutorial_1">Tutorial</h2>
-<h1 id="basic_samples">Basic samples</h1>
+<h2 id="workflow_samples">Workflow Samples</h2>
+<h3 id="basic_samples">Basic samples</h3>
 <ol>
 <li>SimpleMath workflow</li>
 <li>
@@ -153,7 +153,7 @@ eg. Assume that you selected the SimpleM
 </li>
 <li>This workflow will start with 4 nodes which are doing addition operations. Then
the outputs(results) will be handed over to another 2 nodes which are doing multiplication
operation. The results of the multiplications are handed over to another node. The last node
will do addition operation on the input data and output the resulting value.</li>
 </ol>
-<h1 id="advanced_samples">Advanced Samples</h1>
+<h3 id="advanced_samples">Advanced Samples</h3>
 <p>XBaya support Parametric Sweeps which can be used to tackle uncertainty of inputs
to a workflow. It supports, Cartesian product and Dot product of inputs.</p>
 <ol>
 <li>Levenshtein Distance workflow</li>



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