blob: eaab619575fb240d2d1646c9a8156b243d865c9d (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
/**
\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
*/
|
