* block() for vectors ---> segment()

* documentation improvements, especially in quickstart guide

1 files changed, 3 insertions, 1 deletions

diff --git a/doc/Overview.dox b/doc/Overview.dox
index d703358ea..087a01d56 100644
--- a/doc/Overview.dox
+++ b/doc/Overview.dox
@@ -10,9 +10,11 @@ o /** \mainpage Eigen
 
 This is the API documentation for Eigen.
 
+For a first contact with Eigen, the best place is to have a look at the \ref TutorialCore "tutorial".
+
 Most of the API is available as methods in MatrixBase, so this is a good starting point for browsing. Also have a look at Matrix, as a few methods and the matrix constructors are there. Other notable classes for the Eigen API are Cwise, which contains the methods for doing certain coefficient-wise operations, and Part.
 
-For a first contact with Eigen, the best place is to have a look at the \ref TutorialCore "tutorial". Then, it is enough to look at Matrix, MatrixBase, and Cwise. In fact, except for advanced use, the only class that you'll have to explicitly name in your program, i.e. of which you'll explicitly contruct objects, is Matrix. For instance, vectors are handled as a special case of Matrix with one column. Typedefs are provided, e.g. Vector2f is a typedef for Matrix<float, 2, 1>. Finally, you might also have look at the \ref ExampleList "the list of selected examples".
+In fact, except for advanced use, the only class that you'll have to explicitly name in your program, i.e. of which you'll explicitly contruct objects, is Matrix. For instance, vectors are handled as a special case of Matrix with one column. Typedefs are provided, e.g. Vector2f is a typedef for Matrix<float, 2, 1>. Finally, you might also have look at the \ref ExampleList "the list of selected examples".
 
 Most of the other classes are just return types for MatrixBase methods.