Updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403956

docs/docs/index.xml

@@ -105,8 +105,10 @@
                      <a href="dlib/matrix/matrix_math_functions_abstract.h.html#sin">trig functions</a>, etc.</li>
                   <li>Unconstrained non-linear optimization algorithms using the  
                       <a href="optimization.html#cg_search_strategy">conjugate gradient</a>, 
-                      <a href="optimization.html#bfgs_search_strategy">BFGS</a>, and
-                      <a href="optimization.html#lbfgs_search_strategy">L-BFGS</a> techniques</li>
+                      <a href="optimization.html#bfgs_search_strategy">BFGS</a>, 
+                      <a href="optimization.html#lbfgs_search_strategy">L-BFGS</a>, and
+                      <a href="optimization.html#solve_least_squares_lm">Levenberg-Marquardt</a>
+                      techniques</li>
                   <li>Box-constrained derivative-free optimization via the 
                       <a href="optimization.html#find_min_bobyqa">BOBYQA</a> algorithm</li> 
                   <li>An implementation of the <a href="optimization.html#oca">Optimized Cutting Plane Algorithm</a></li> 

docs/docs/release_notes.xml

@@ -12,12 +12,25 @@
 
 <current>
 New Stuff:
+  - Added the ability to add/subtract scalar values to/from all the elements 
+    of a matrix using the - and + operators.
+  - Added a trust region optimizer. 
+  - Added Levenberg-Marquardt and LM/quasi-newton hybrid methods for solving
+    non-linear least squares problems.
+  - Added an any container object.
 
 Non-Backwards Compatible Changes:
 
 Bug fixes:
+  - Fixed a compiler warning and also a runtime bug in sort_basis_vectors().  
+    The bug triggered when all the basis vectors were included in the final
+    answer.
 
 Other:
+  - Added a bunch of overloads to catch operations on diagonal matrices
+    and use more efficient code paths for them.  For example, inv(diagm(d))
+    turns into diagm(reciprocal(d)).  Multiplication by a diagonal matrix
+    is now also handled efficiently.
 
 </current>