updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402280

docs/docs/index.xml

@@ -106,6 +106,8 @@
                      <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>, 
                      <a href="dlib/matrix/matrix_math_functions_abstract.h.html#sin">trig functions</a>, etc...</li>
+                  <li>Unconstrained optimization algorithms such as 
+                     <a href="algorithms.html#find_min_conjugate_gradient">conjugate gradient</a> and <a href="algorithms.html#find_min_quasi_newton">quasi newton</a> techniques</li>
                   <li>A <a href="algorithms.html#bigint">big integer</a> object</li>
                   <li>A <a href="algorithms.html#rand">random number</a> object</li>
                </ul>
@@ -116,7 +118,7 @@
                   <li><a href="algorithms.html#mlp">multi layer perceptrons</a> </li>  
                   <li><a href="algorithms.html#svm_nu_train">nu support vector machines</a> for classification</li>
                   <li>An online <a href="algorithms.html#krls">kernel RLS regression</a> algorithm</li>
-                  <li>An online <a href="algorithms.html#kcentroid">centroid estimator</a></li>
+                  <li>An online kernelized <a href="algorithms.html#kcentroid">centroid estimator</a></li>
                   <li>Bayesian Network inference algorithms such as the 
                      <a href="algorithms.html#bayesian_network_join_tree">join tree</a> algorithm and 
                      <a href="algorithms.html#bayesian_network_gibbs_sampler">Gibbs sampler</a> Markov Chain Monte Carlo algorithm</li>

docs/docs/release_notes.xml

@@ -13,12 +13,24 @@
 <current>
 New Stuff:
    - Added some macros that allow dlib to create a stack trace
+   - Added a kernel based centroid estimator/novelty detector
+   - Added an identity_matrix() function that can take a runtime defined size.
+   - Added a bunch of unconstrained optimization stuff to the library. 
+     It now has a conjugate gradient optimization algorithm as well as
+     a quasi-newton algorithm.
+   - Added the wrap_function and is_function templates.
+   - Added two new events to the text_field object.  One for detecting when the 
+     user hits enter and another for detecting when input focus is lost.
 
 Non-Backwards Compatible Changes:
+   - In the krls object:  Added a requires clause to the set_tolerance() member 
+     function and renamed clear() to clear_dictionary().
 
 Bug fixes:
 
 Other:
+   - Added example programs for the krls object as well as the new
+     kcentroid object.
 
 </current>