updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402770

docs/docs/compile.xml

@@ -16,9 +16,11 @@
 
 
         <p>
-           To use this library all you have to do is extract the library somewhere, make sure the folder <i>containing</i> 
+           To use this library all you have to do is extract it somewhere, make sure the folder <i>containing</i> 
            the dlib folder is in your include path, and finally add <a href="dlib/all/source.cpp.html">dlib/all/source.cpp</a> 
-           to your project.   
+           to your project.  It is worth noting that most of dlib is "header-only" which means that, in many cases, you
+           don't actually have to build dlib/all/source.cpp into your application.  So if you don't get linker 
+           errors when you don't add dlib/all/source.cpp to your project then you don't need it.
         </p>
         <p>
             An example makefile that uses this library can be found here: 

docs/docs/containers.xml

@@ -1290,18 +1290,33 @@
          <file>dlib/matrix.h</file>
          <spec_file link="true">dlib/matrix/matrix_abstract.h</spec_file>
          <description>
-           This is a 2D matrix object.  It is implemented using the expression templates 
-           technique which allows us to eliminate the temporary matrix objects that would 
-           normally be returned from expressions such as M = A+B+C+D;  Normally each 
-           invocation of the + operator would construct and return a temporary matrix 
-           object but using this technique we can avoid creating all of these temporary 
-           objects and receive a large speed boost.
+           This is a 2D matrix object that enables you to write code that deals with
+           matrices using a simple syntax similar to what can be written in MATLAB.  It is implemented using 
+           the expression templates technique which allows it to eliminate the 
+           temporary matrix objects that would normally be returned from expressions 
+           such as M = A+B+C+D;  Normally each invocation of the + operator would 
+           construct and return a temporary matrix object but using this technique 
+           we can avoid creating all these temporary objects and receive a large speed boost.
            <p>
-            Note that there is only one implementation of this object so there aren't any
-            different kernels to choose from when you create instances of the matrix object.  
-            So for example, you
-            could declare a matrix of 2 rows and 3 columns using the following statement: 
-            <tt>dlib::matrix&lt;float,2,3&gt; m;</tt>  
+           This object is also capable of using BLAS libraries such as ATLAS or the Intel
+           MKL when available.   To enable this feature all you have to do is #define 
+           DLIB_USE_BLAS and then make sure you link your application with your 
+           BLAS library.  Additionally, the use of BLAS is transparent to the user, that is, the
+           dlib matrix object uses BLAS internally to optimize all the various forms 
+           of matrix multiplication while still alowing the user to use a simple MATLAB
+           like syntax.  
+           </p>
+           <p>
+           Note that the cmake files that come with dlib know how to link a project with ATLAS or
+           the Intel MKL if you are building on a linux system.  The cmake files may also 
+           work in a few other cases as well but I haven't tested any others.   But in any
+           case, by no means are you required to use the dlib cmake files. 
+           </p>
+           <p>
+              It is also worth nothing that all the preconditions of every function 
+              related to the matrix object are checked by <a href="metaprogramming.html#DLIB_ASSERT">DLIB_ASSERT</a>
+              statements and thus can be enabled by #defining ENABLE_ASSERTS or DEBUG.  Doing
+              this will cause your program to run slower but should catch any usage errors. 
            </p>
          </description>
          

docs/docs/index.xml

@@ -102,7 +102,8 @@
 
             <li><b>Numerical Algorithms</b>
                <ul>
-                  <li>A fast <a href="containers.html#matrix">matrix</a> object implemented using the expression templates technique</li>
+                  <li>A fast <a href="containers.html#matrix">matrix</a> object implemented using the expression 
+                     templates technique and capable of using BLAS libraries when available.</li>
                   <li>Numerous linear algebra and mathematical operations are defined for the matrix object such as the 
                      <a href="dlib/matrix/matrix_utilities_abstract.h.html#svd">singular value decomposition</a>, 
                      <a href="dlib/matrix/matrix_utilities_abstract.h.html#trans">transpose</a>,