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[libstdc++,doc] Update three ieeexplore.ieee.org references

Message ID alpine.LSU.2.21.1809011456160.6216@anthias.pfeifer.com
State New
Headers show
Series [libstdc++,doc] Update three ieeexplore.ieee.org references | expand

Commit Message

Gerald Pfeifer Sept. 1, 2018, 12:58 p.m. UTC 
I caught these three while looking at borken/changed links on our
web page. (There are a few more I want to look into the coming days.)

Applied.

2018-09-01  Gerald Pfeifer  <gerald@pfeifer.com>

	* doc/xml/manual/profile_mode.xml: Update three ieeexplore.ieee.org
	references.
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Patch

Index: doc/xml/manual/profile_mode.xml
===================================================================
--- doc/xml/manual/profile_mode.xml	(revision 264027)
+++ doc/xml/manual/profile_mode.xml	(working copy)
@@ -26,7 +26,7 @@ 
   various components at interesting entry/exit points to/from the standard
   library.  Process trace, recognize suboptimal patterns, give advice.
   For details, see the
-  <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://ieeexplore.ieee.org/document/4907670/">Perflint
+  <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://ieeexplore.ieee.org/document/4907670/">Perflint
   paper presented at CGO 2009</link>.
   </para>
   <para>
@@ -328,7 +328,7 @@ 
 
   <para>
   For details, see
-   <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://ieeexplore.ieee.org/document/4907670/">paper presented at
+   <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://ieeexplore.ieee.org/document/4907670/">paper presented at
    CGO 2009</link>.
   </para>
 </section>
@@ -1403,7 +1403,7 @@ 
   See papers:
   <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://dl.acm.org/citation.cfm?doid=1065944.1065981">
   A framework for adaptive algorithm selection in STAPL</link> and
-  <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://ieeexplore.ieee.org/document/4228227/">
+  <link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://ieeexplore.ieee.org/document/4228227/">
   Optimizing Sorting with Machine Learning Algorithms</link>.
   </para></listitem>
   <listitem><para><emphasis>Sample runtime reduction:</emphasis>60%.