From 19fb1ba90b56e120514c98e87fc59bb1635eed29 Mon Sep 17 00:00:00 2001 From: vrouvrea Date: Wed, 30 Mar 2016 09:26:51 +0000 Subject: Cubical complex for new doxygen version git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/Doxygen_for_GUDHI_1.3.0@1083 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 77e7fa96f9ed2f2ccd9f65bb1f6b325737f863f5 --- .../doc/Cubical_complex_representation.ipe | 732 +++++++++++++++++++++ .../doc/Cubical_complex_representation.png | Bin 0 -> 19167 bytes .../doc/Gudhi_Cubical_Complex_doc.h | 2 +- src/common/doc/main_page.h | 62 +- 4 files changed, 772 insertions(+), 24 deletions(-) create mode 100644 src/Bitmap_cubical_complex/doc/Cubical_complex_representation.ipe create mode 100644 src/Bitmap_cubical_complex/doc/Cubical_complex_representation.png diff --git a/src/Bitmap_cubical_complex/doc/Cubical_complex_representation.ipe b/src/Bitmap_cubical_complex/doc/Cubical_complex_representation.ipe new file mode 100644 index 00000000..bec245e7 --- 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a/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h b/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h index cde0b2fc..be4caaad 100644 --- a/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h +++ b/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h @@ -76,7 +76,7 @@ namespace Cubical_complex { * directions, allows to determine, dimension, neighborhood, boundary and coboundary of every cube \f$C \in * \mathcal{K}\f$. * - * \image html "bitmapAllCubes.png" "Cubical complex. + * \image html "Cubical_complex_representation.png" Cubical complex. * * Note that the cubical complex in the figure above is, in a natural way, a product of one dimensional cubical * complexes in \f$\mathbb{R}\f$. The number of all cubes in each direction is equal \f$2n+1\f$, where \f$n\f$ is the diff --git a/src/common/doc/main_page.h b/src/common/doc/main_page.h index 1db1ea8a..56cb82bb 100644 --- a/src/common/doc/main_page.h +++ b/src/common/doc/main_page.h @@ -3,7 +3,7 @@ * \image html "Gudhi_banner.jpg" "" width=20cm * * \section Introduction Introduction - * The Gudhi library (Geometric Understanding in Higher Dimensions) is a generic open source C++ library for + * The Gudhi library (Geometry Understanding in Higher Dimensions) is a generic open source C++ library for * Computational Topology and Topological Data Analysis * (TDA). * The GUDHI library intends to help the development of new algorithmic solutions in TDA and their transfer to @@ -20,16 +20,32 @@ * We refer to \cite gudhilibrary_ICMS14 for a detailed description of the design of the library. * \section DataStructures Data structures + \subsection CubicalComplexDataStructure Cubical complex + \image html "Cubical_complex_representation.png" "Cubical complex representation" + + + + + +
+ Author: Pawel Dlotko
+ Introduced in: GUDHI 1.3.0
+ Copyright: GPL v3
+ 		+ The cubical complex is an example of a structured complex useful in computational mathematics (specially + rigorous numerics) and image analysis.
+ User manual: \ref cubical_complex - Reference manual: Gudhi::Cubical_complex::Bitmap_cubical_complex +
\subsection SimplexTreeDataStructure Simplex tree \image html "Simplex_tree_representation.png" "Simplex tree representation"
+ Author: Clément Maria
Introduced in: GUDHI 1.0.0
Copyright: GPL v3
 - Clément Maria
The simplex tree is an efficient and flexible data structure for representing general (filtered) simplicial complexes. The data structure is described in \cite boissonnatmariasimplextreealgorithmica .
@@ -42,11 +58,11 @@
+ Author: David Salinas
Introduced in: GUDHI 1.1.0
Copyright: GPL v3
 - David Salinas
The Skeleton-Blocker data-structure proposes a light encoding for simplicial complexes by storing only an *implicit* representation of its simplices \cite socg_blockers_2011,\cite blockers2012. Intuitively, it just stores the 1-skeleton of a simplicial complex with a graph and the set of its "missing faces" that is very small in practice. @@ -62,11 +78,11 @@
+ Author: Siargey Kachanovich
Introduced in: GUDHI 1.3.0
Copyright: GPL v3
 - Siargey Kachanovich
Witness complex \f$ Wit(W,L) \f$ is a simplicial complex defined on two sets of points in \f$\mathbb{R}^D\f$. The data structure is described in \cite boissonnatmariasimplextreealgorithmica .
User manual: \ref witness_complex - Reference manual: Gudhi::witness_complex::SimplicialComplexForWitness @@ -75,16 +91,34 @@
\section Toolbox Toolbox + \subsection ContractionToolbox Contraction + \image html "sphere_contraction_representation.png" "Sphere contraction example" + + + + + +
+ Author: David Salinas
+ Introduced in: GUDHI 1.1.0
+ Copyright: GPL v3
+ 		+ The purpose of this package is to offer a user-friendly interface for edge contraction simplification of huge + simplicial complexes. It uses the \ref skbl data-structure whose size remains small during simplification of most + used geometrical complexes of topological data analysis such as the Rips or the Delaunay complexes. In practice, + the size of this data-structure is even much lower than the total number of simplices.
+ User manual: \ref contr +
\subsection PersistentCohomologyToolbox Persistent Cohomology \image html "3DTorus_poch.png" "Rips Persistent Cohomology on a 3D Torus" -
+ Author: Clément Maria
Introduced in: GUDHI 1.0.0
Copyright: GPL v3
 - Clément Maria
The theory of homology consists in attaching to a topological space a sequence of (homology) groups, capturing global topological features like connected components, holes, cavities, etc. Persistent homology studies the evolution -- birth, life and death -- of these features when the topological space is changing. Consequently, the @@ -96,24 +130,6 @@ User manual: \ref persistent_cohomology
- \subsection ContractionToolbox Contraction - \image html "sphere_contraction_representation.png" "Sphere contraction example" - - - - -
- Introduced in: GUDHI 1.1.0
- Copyright: GPL v3
- 		- David Salinas
- The purpose of this package is to offer a user-friendly interface for edge contraction simplification of huge - simplicial complexes. It uses the \ref skbl data-structure whose size remains small during simplification of most - used geometrical complexes of topological data analysis such as the Rips or the Delaunay complexes. In practice, - the size of this data-structure is even much lower than the total number of simplices.
- User manual: \ref contr -
*/ -- cgit v1.2.3