/**
\mainpage 

\image html "Gudhi_banner.jpg" "" width=20cm

The Gudhi library (Geometric Understanding in Higher Dimensions) is a generic C++ library for 
topological analysis of high-dimensional data whose goal is to provide robust, efficient, flexible and easy to use 
implementations of 
state-of-the-art algorithms and data structures for computational topology. 

The current release of the library allows to use several data-structures for simplicial complexes :
simplex tree, Hasse diagram or skeleton-blocker. Several  operations can then be done on top of these
representations such a spersistent homology computation or simplification. 

All data-structures are generic and several of their aspects (such as stored elements, policies) 
can be parametrized via template classes.

We refer to 
\cite gudhilibrary_ICMS14
for a detailed description of the design of the library.


\section Compiling

The library uses c++11 and requires Boost with version 1.48.0 or more recent :  http://www.boost.org/.
The multi-field persistent homology algorithm has an optional dependency with GMP.


The procedure to install these packages according to your operating system is 
detailled here http://doc.cgal.org/latest/Manual/installation.html

The library compiles in Linux and Mac OSX. 

\section d Demos and Examples

To build the library, run the following in a terminal:

\verbatim
cd /path-to-gudhi/
mkdir build
cd build/
cmake -DCMAKE_BUILD_TYPE=Release ..
make
\endverbatim





\details 

\copyright GNU General Public License v3.                         
\verbatim  Contact: gudhi-devel@lists.gforge.inria.fr \endverbatim

*/