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Commit ef5456ae authored by Davis King's avatar Davis King
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Added rough version of a suggested reading page. 

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<?xml version="1.0" encoding="ISO-8859-1"?>
<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?>
<doc>
<title>Suggested Reading</title>
<!-- ************************************************************************* -->
<body>
<br/><br/>
<h2>General Programming</h2>
<ul>
<h3>C++</h3>
<ul>
<li> <i>Programming: Principles and Practice Using C++</i> by Bjarne Stroustrup </li>
<li> <i>Effective C++: 55 Specific Ways to Improve Your Programs and Designs</i> (3rd Edition) by Scott Meyers </li>
<li> <i>More Effective C++: 35 New Ways to Improve Your Programs and Designs</i> by Scott Meyers </li>
<li> <i>The C++ Standard Library: A Tutorial and Reference</i> by Nicolai M. Josuttis </li>
<li> <a href="http://stdcxx.apache.org/doc/stdlibref/index.html">Apache C++ Standard Library Reference</a></li>
</ul>
<h3>Multithreading</h3>
<ul>
<li> <i>Programming with POSIX(R) Threads</i> by David R. Butenhof </li>
</ul>
<h3>Network Programming</h3>
<ul>
<li> <i>Unix Network Programming, Volume 1: The Sockets Networking API</i> (3rd Edition)
by W. Richard Stevens</li>
</ul>
<h3>WIN32 Programming</h3>
<ul>
<li> <i>Win32 Programming</i> by Brent E. Rector and Joseph M. Newcomer
</li>
<li>
<i>Programming Windows</i> by Charles Petzold
</li>
<li> <a href="http://msdn.microsoft.com/en-us/library/default.aspx">MSDN Library</a> is great </li>
</ul>
</ul>
<h2>Computer Science: Algorithms and Data Structures</h2>
<ul>
<li> <i>Introduction to Algorithms</i> by Cormen, Leiserson, Rivest and Stein
</li>
<li> <i>Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching</i> (3rd Edition) by Robert Sedgewick </li>
</ul>
<h2>Lossless Data Compression</h2>
<ul>
<li> <i>Text Compression</i> by Bell, Cleary, and Witten </li>
</ul>
<h2>General Math</h2>
<ul>
<li> <i>Calculus: Single and Multivariable</i> by Hughes-Hallett, Gleason, and McCallum </li>
<li> <i>Linear Algebra Done Right</i> by Sheldon Jay Axler </li>
<li> <i>Numerical Linear Algebra</i> by Trefethen and Bau </li>
<li> <i>Introduction to Real Analysis</i> (third edition) by Bartle and Sherbert </li>
</ul>
<h2>Optimization</h2>
<ul>
<li> <i>Practical Methods of Optimization</i> (second edition) by R. Fletcher 1987 </li>
<li> <i>Numerical Optimization</i> by Jorge Nocedal and Stephen Wright 2006 </li>
<li> <i>Introduction to Derivative-Free Optimization</i> by Conn, Scheinberg, and Vicente </li>
</ul>
<h2>Machine Learning</h2>
<ul>
<li> <i>Artificial Intelligence: A Modern Approach </i> (3rd Edition) by Stuart Russell and Peter Norvig</li>
<li> <i>Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond </i> by Bernhard Schlkopf and Alexander J. Smola</li>
<li> <i>Kernel Methods for Pattern Analysis </i> by John Shawe-Taylor and Nello Cristianini
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aslkdfj alskdf alsdkjf lksjadklajsd fklsadj fljkas dfklja sdlfkj asdlkfj asdlkj sadlkjf </ul> <br/> </li>
<li> The Journal of Machine Learning Research and NIPS </li>
</ul>
<h2>Image Processing</h2>
<ul>
<li> <i>Digital Image Processing</i> by Rafael C. Gonzalez and Richard E. Woods </li>
</ul>
</body>
<!-- ************************************************************************* -->
</doc>
docs/docs/main_menu.xml
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...@@ -87,6 +87,10 @@ ...@@ -87,6 +87,10 @@
<name>How to compile</name> <name>How to compile</name>
<link>compile.html</link> <link>compile.html</link>
</item> </item>
<item>
<name>Suggested Reading</name>
<link>books.html</link>
</item>
<item> <item>
<name>License</name> <name>License</name>
<link>license.html</link> <link>license.html</link>
......
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