From 278c4bcf17a39c85b310b4286363f1096ca0620c Mon Sep 17 00:00:00 2001
From: Davis King <davis@dlib.net>
Date: Wed, 30 Jul 2008 22:26:20 +0000
Subject: [PATCH] updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402452
---
 docs/docs/algorithms.xml | 8 ++++----
 docs/docs/index.xml      | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/docs/algorithms.xml b/docs/docs/algorithms.xml
index d5e0029c6..640a11fff 100644
--- a/docs/docs/algorithms.xml
+++ b/docs/docs/algorithms.xml
@@ -328,7 +328,7 @@
          <file>dlib/optimization.h</file>
          <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file>
          <description>
-             Performs an unconstrained minimization of the function f() using the 
+             Performs an unconstrained minimization of the potentially nonlinear function f() using the 
              BFGS quasi newton method.  
          </description>
                                  
@@ -341,7 +341,7 @@
          <file>dlib/optimization.h</file>
          <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file>
          <description>
-             Performs an unconstrained minimization of the function f() using a 
+             Performs an unconstrained minimization of the potentially nonlinear function f() using a 
               conjugate gradient method. 
          </description>
                                  
@@ -354,7 +354,7 @@
          <file>dlib/optimization.h</file>
          <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file>
          <description>
-             Performs an unconstrained minimization of the function f() using the
+             Performs an unconstrained minimization of the potentially nonlinear function f() using the
              BFGS quasi newton method.  This version doesn't take a gradient function of f()
               but instead numerically approximates the gradient.
          </description>
@@ -368,7 +368,7 @@
          <file>dlib/optimization.h</file>
          <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file>
          <description>
-             Performs an unconstrained minimization of the function f() using a 
+             Performs an unconstrained minimization of the potentially nonlinear function f() using a 
               conjugate gradient method. This version doesn't take a gradient function of f()
               but instead numerically approximates the gradient.
          </description>
diff --git a/docs/docs/index.xml b/docs/docs/index.xml
index 910462567..7bc9279be 100644
--- a/docs/docs/index.xml
+++ b/docs/docs/index.xml
@@ -106,7 +106,7 @@
                      <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 
+                  <li>Unconstrained non-linear 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>