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/**
\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 a dependency with GMP and some demos requires CGAL https://www.cgal.org/.
The procedure to install these libraries 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-users@lists.gforge.inria.fr \endverbatim
*/
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