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authorROUVREAU Vincent <vincent.rouvreau@inria.fr>2019-05-29 11:43:46 +0200
committerROUVREAU Vincent <vincent.rouvreau@inria.fr>2019-05-29 11:43:46 +0200
commita99f1e8ceef3ccb8606ac6f5af169329db8352f4 (patch)
tree496d4e75999d15a1dcae25ba66ac415c35e98cb1 /src
parent617129f0e45e4a019b5d6facb8d2679629e34efd (diff)
Reformat modules summary and occupy 100% of the page
Diffstat (limited to 'src')
-rw-r--r--src/cython/doc/alpha_complex_sum.inc40
-rw-r--r--src/cython/doc/bottleneck_distance_sum.inc27
-rwxr-xr-xsrc/cython/doc/conf.py2
-rw-r--r--src/cython/doc/cubical_complex_sum.inc27
-rw-r--r--src/cython/doc/nerve_gic_complex_sum.rst29
-rw-r--r--src/cython/doc/persistence_graphical_tools_sum.inc24
-rw-r--r--src/cython/doc/persistent_cohomology_sum.inc51
-rw-r--r--src/cython/doc/rips_complex_sum.inc31
-rw-r--r--src/cython/doc/simplex_tree_sum.inc25
-rw-r--r--src/cython/doc/tangential_complex_sum.inc27
-rw-r--r--src/cython/doc/witness_complex_sum.inc34
11 files changed, 155 insertions, 162 deletions
diff --git a/src/cython/doc/alpha_complex_sum.inc b/src/cython/doc/alpha_complex_sum.inc
index 1680a712..100edbbd 100644
--- a/src/cython/doc/alpha_complex_sum.inc
+++ b/src/cython/doc/alpha_complex_sum.inc
@@ -1,22 +1,20 @@
-================================================================= =================================== ===================================
-:Author: Vincent Rouvreau :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-:Requires: CGAL :math:`\geq` 4.7.0 Eigen3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| .. figure:: | Alpha_complex is a simplicial complex constructed from the finite |
-| ../../doc/Alpha_complex/alpha_complex_representation.png | cells of a Delaunay Triangulation. |
-| :alt: Alpha complex representation | |
-| :figclass: align-center | The filtration value of each simplex is computed as the square of the |
-| | circumradius of the simplex if the circumsphere is empty (the simplex |
-| Alpha complex representation | is then said to be Gabriel), and as the minimum of the filtration |
-| | values of the codimension 1 cofaces that make it not Gabriel |
-| | otherwise. All simplices that have a filtration value strictly |
-| | greater than a given alpha squared value are not inserted into the |
-| | complex. |
-| | |
-| | This package requires having CGAL version 4.7 or higher (4.8.1 is |
-| | advised for better performance). |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| :doc:`alpha_complex_user` | :doc:`alpha_complex_ref` |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
+ +----------------------------------------------------------------+------------------------------------------------------------------------+-----------------------------------------------+
+ | .. figure:: | Alpha complex is a simplicial complex constructed from the finite | :Author: Vincent Rouvreau |
+ | ../../doc/Alpha_complex/alpha_complex_representation.png | cells of a Delaunay Triangulation. | |
+ | :alt: Alpha complex representation | | :Introduced in: GUDHI 2.0.0 |
+ | :figclass: align-center | The filtration value of each simplex is computed as the square of the | |
+ | | circumradius of the simplex if the circumsphere is empty (the simplex | :Copyright: GPL v3 |
+ | | is then said to be Gabriel), and as the minimum of the filtration | |
+ | | values of the codimension 1 cofaces that make it not Gabriel | :Requires: Eigen3 and CGAL :math:`\geq` 4.7.0 |
+ | | otherwise. All simplices that have a filtration value strictly | |
+ | | greater than a given alpha squared value are not inserted into the | |
+ | | complex. | |
+ | | | |
+ | | This package requires having CGAL version 4.7 or higher (4.8.1 is | |
+ | | advised for better performance). | |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+-----------------------------------------------+
+ | :doc:`alpha_complex_user` | :doc:`alpha_complex_ref` |
+ +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------+
diff --git a/src/cython/doc/bottleneck_distance_sum.inc b/src/cython/doc/bottleneck_distance_sum.inc
index 030fad9e..4fedb744 100644
--- a/src/cython/doc/bottleneck_distance_sum.inc
+++ b/src/cython/doc/bottleneck_distance_sum.inc
@@ -1,15 +1,14 @@
-================================================================= =================================== ===================================
-:Author: François Godi :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-:Requires: CGAL :math:`\geq` 4.8.0
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+-----------------------------------------------------------------+----------------------------------------------------------------------+
-| .. figure:: | Bottleneck distance measures the similarity between two persistence |
-| ../../doc/Bottleneck_distance/perturb_pd.png | diagrams. It's the shortest distance b for which there exists a |
-| :figclass: align-center | perfect matching between the points of the two diagrams (+ all the |
-| | diagonal points) such that any couple of matched points are at |
-| Bottleneck distance is the length of | distance at most b. |
-| the longest edge | |
-+-----------------------------------------------------------------+----------------------------------------------------------------------+
-| :doc:`bottleneck_distance_user` | |
-+-----------------------------------------------------------------+----------------------------------------------------------------------+
+ +-----------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------+
+ | .. figure:: | Bottleneck distance measures the similarity between two persistence | :Author: François Godi |
+ | ../../doc/Bottleneck_distance/perturb_pd.png | diagrams. It's the shortest distance b for which there exists a | |
+ | :figclass: align-center | perfect matching between the points of the two diagrams (+ all the | :Introduced in: GUDHI 2.0.0 |
+ | | diagonal points) such that any couple of matched points are at | |
+ | Bottleneck distance is the length of | distance at most b. | :Copyright: GPL v3 |
+ | the longest edge | | |
+ | | | :Requires: CGAL :math:`\geq` 4.8.0 |
+ +-----------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------+
+ | :doc:`bottleneck_distance_user` | | |
+ +-----------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------+
diff --git a/src/cython/doc/conf.py b/src/cython/doc/conf.py
index 4a54d4fd..ce08f679 100755
--- a/src/cython/doc/conf.py
+++ b/src/cython/doc/conf.py
@@ -125,7 +125,7 @@ html_theme_options = {
"sidebarbgcolor": "#A1ADCD",
"sidebartextcolor": "black",
"sidebarlinkcolor": "#334D5C",
- "body_max_width": "1200px",
+ "body_max_width": "100%",
}
# Add any paths that contain custom themes here, relative to this directory.
diff --git a/src/cython/doc/cubical_complex_sum.inc b/src/cython/doc/cubical_complex_sum.inc
index 280ad0e0..6dcc1fda 100644
--- a/src/cython/doc/cubical_complex_sum.inc
+++ b/src/cython/doc/cubical_complex_sum.inc
@@ -1,15 +1,14 @@
-================================================================= =================================== ===================================
-:Author: Pawel Dlotko :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+--------------------------------------------------------------------------+----------------------------------------------------------------------+
-| .. figure:: | The cubical complex is an example of a structured complex useful in |
-| ../../doc/Bitmap_cubical_complex/Cubical_complex_representation.png | computational mathematics (specially rigorous numerics) and image |
-| :alt: Cubical complex representation | analysis. |
-| :figclass: align-center | |
-| | |
-| Cubical complex representation | |
-+--------------------------------------------------------------------------+----------------------------------------------------------------------+
-| :doc:`cubical_complex_user` | * :doc:`cubical_complex_ref` |
-| | * :doc:`periodic_cubical_complex_ref` |
-+--------------------------------------------------------------------------+----------------------------------------------------------------------+
+ +--------------------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------+
+ | .. figure:: | The cubical complex is an example of a structured complex useful in | :Author: Pawel Dlotko |
+ | ../../doc/Bitmap_cubical_complex/Cubical_complex_representation.png | computational mathematics (specially rigorous numerics) and image | |
+ | :alt: Cubical complex representation | analysis. | :Introduced in: GUDHI 2.0.0 |
+ | :figclass: align-center | | |
+ | | | :Copyright: GPL v3 |
+ | | | |
+ +--------------------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------+
+ | :doc:`cubical_complex_user` | * :doc:`cubical_complex_ref` |
+ | | * :doc:`periodic_cubical_complex_ref` |
+ +--------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------+
diff --git a/src/cython/doc/nerve_gic_complex_sum.rst b/src/cython/doc/nerve_gic_complex_sum.rst
index 523c119f..47bf84fd 100644
--- a/src/cython/doc/nerve_gic_complex_sum.rst
+++ b/src/cython/doc/nerve_gic_complex_sum.rst
@@ -1,15 +1,16 @@
-================================================================= =================================== ===================================
-:Author: Mathieu Carrière :Introduced in: GUDHI 2.3.0 :Copyright: GPL v3
-:Requires: CGAL :math:`\geq` 4.8.1
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| .. figure:: | Nerves and Graph Induced Complexes are cover complexes, i.e. |
-| ../../doc/Nerve_GIC/gicvisu.jpg | simplicial complexes that provably contain topological information |
-| :alt: Graph Induced Complex of a point cloud. | about the input data. They can be computed with a cover of the data, |
-| :figclass: align-center | that comes i.e. from the preimage of a family of intervals covering |
-| | the image of a scalar-valued function defined on the data. |
-| Graph Induced Complex of a point cloud. | |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| :doc:`nerve_gic_complex_user` | :doc:`nerve_gic_complex_ref` |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
+ +----------------------------------------------------------------+------------------------------------------------------------------------+------------------------------------+
+ | .. figure:: | Nerves and Graph Induced Complexes are cover complexes, i.e. | :Author: Mathieu Carrière |
+ | ../../doc/Nerve_GIC/gicvisu.jpg | simplicial complexes that provably contain topological information | |
+ | :alt: Graph Induced Complex of a point cloud. | about the input data. They can be computed with a cover of the data, | :Introduced in: GUDHI 2.3.0 |
+ | :figclass: align-center | that comes i.e. from the preimage of a family of intervals covering | |
+ | | the image of a scalar-valued function defined on the data. | :Copyright: GPL v3 |
+ | | | |
+ | | | :Requires: CGAL :math:`\geq` 4.8.1 |
+ | | | |
+ | | | |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+------------------------------------+
+ | :doc:`nerve_gic_complex_user` | :doc:`nerve_gic_complex_ref` |
+ +----------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------+
diff --git a/src/cython/doc/persistence_graphical_tools_sum.inc b/src/cython/doc/persistence_graphical_tools_sum.inc
index 5577cf99..ee164652 100644
--- a/src/cython/doc/persistence_graphical_tools_sum.inc
+++ b/src/cython/doc/persistence_graphical_tools_sum.inc
@@ -1,12 +1,14 @@
-================================================================= =================================== ===================================
-:Author: Vincent Rouvreau :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-:Requires: matplotlib numpy scipy
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
-| .. figure:: | These graphical tools comes on top of persistence results and allows |
-| img/graphical_tools_representation.png | the user to build easily persistence barcode, diagram or density. |
-| | |
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
-| :doc:`persistence_graphical_tools_user` | :doc:`persistence_graphical_tools_ref` |
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
+ | .. figure:: | These graphical tools comes on top of persistence results and allows | :Author: Vincent Rouvreau |
+ | img/graphical_tools_representation.png | the user to build easily persistence barcode, diagram or density. | |
+ | | | :Introduced in: GUDHI 2.0.0 |
+ | | | |
+ | | | :Copyright: GPL v3 |
+ | | | |
+ | | | :Requires: matplotlib, numpy and scipy |
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
+ | :doc:`persistence_graphical_tools_user` | :doc:`persistence_graphical_tools_ref` | |
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
diff --git a/src/cython/doc/persistent_cohomology_sum.inc b/src/cython/doc/persistent_cohomology_sum.inc
index a26df1dc..5bf1a7bf 100644
--- a/src/cython/doc/persistent_cohomology_sum.inc
+++ b/src/cython/doc/persistent_cohomology_sum.inc
@@ -1,27 +1,26 @@
-================================================================= =================================== ===================================
-:Author: Clément Maria :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
-| .. figure:: | The theory of homology consists in attaching to a topological space |
-| ../../doc/Persistent_cohomology/3DTorus_poch.png | a sequence of (homology) groups, capturing global topological |
-| :figclass: align-center | features like connected components, holes, cavities, etc. Persistent |
-| | homology studies the evolution -- birth, life and death -- of these |
-| Rips Persistent Cohomology on a 3D | features when the topological space is changing. Consequently, the |
-| Torus | theory is essentially composed of three elements: topological spaces, |
-| | their homology groups and an evolution scheme. |
-| | |
-| | Computation of persistent cohomology using the algorithm of |
-| | :cite:`DBLP:journals/dcg/SilvaMV11` and |
-| | :cite:`DBLP:journals/corr/abs-1208-5018` and the Compressed |
-| | Annotation Matrix implementation of |
-| | :cite:`DBLP:conf/esa/BoissonnatDM13`. |
-| | |
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
-| :doc:`persistent_cohomology_user` | Please refer to each data structure that contains persistence |
-| | feature for reference: |
-| | |
-| | * :doc:`simplex_tree_ref` |
-| | * :doc:`cubical_complex_ref` |
-| | * :doc:`periodic_cubical_complex_ref` |
-+-----------------------------------------------------------------+-----------------------------------------------------------------------+
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
+ | .. figure:: | The theory of homology consists in attaching to a topological space | :Author: Clément Maria |
+ | ../../doc/Persistent_cohomology/3DTorus_poch.png | a sequence of (homology) groups, capturing global topological | |
+ | :figclass: align-center | features like connected components, holes, cavities, etc. Persistent | :Introduced in: GUDHI 2.0.0 |
+ | | homology studies the evolution -- birth, life and death -- of these | |
+ | Rips Persistent Cohomology on a 3D | features when the topological space is changing. Consequently, the | :Copyright: GPL v3 |
+ | Torus | theory is essentially composed of three elements: topological spaces, | |
+ | | their homology groups and an evolution scheme. | |
+ | | | |
+ | | Computation of persistent cohomology using the algorithm of | |
+ | | :cite:`DBLP:journals/dcg/SilvaMV11` and | |
+ | | :cite:`DBLP:journals/corr/abs-1208-5018` and the Compressed | |
+ | | Annotation Matrix implementation of | |
+ | | :cite:`DBLP:conf/esa/BoissonnatDM13`. | |
+ | | | |
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
+ | :doc:`persistent_cohomology_user` | Please refer to each data structure that contains persistence | |
+ | | feature for reference: | |
+ | | | |
+ | | * :doc:`simplex_tree_ref` | |
+ | | * :doc:`cubical_complex_ref` | |
+ | | * :doc:`periodic_cubical_complex_ref` | |
+ +-----------------------------------------------------------------+-----------------------------------------------------------------------+-----------------------------------------------+
diff --git a/src/cython/doc/rips_complex_sum.inc b/src/cython/doc/rips_complex_sum.inc
index ea26769a..b32b810e 100644
--- a/src/cython/doc/rips_complex_sum.inc
+++ b/src/cython/doc/rips_complex_sum.inc
@@ -1,17 +1,16 @@
-===================================================================== =========================== ===================================
-:Author: Clément Maria, Pawel Dlotko, Vincent Rouvreau, Marc Glisse :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-===================================================================== =========================== ===================================
+.. table::
+ :widths: 30 50 20
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| .. figure:: | Rips complex is a simplicial complex constructed from a one skeleton |
-| ../../doc/Rips_complex/rips_complex_representation.png | graph. |
-| :figclass: align-center | |
-| | The filtration value of each edge is computed from a user-given |
-| Rips complex representation | distance function and is inserted until a user-given threshold |
-| | value. |
-| | |
-| | This complex can be built from a point cloud and a distance function, |
-| | or from a distance matrix. |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| :doc:`rips_complex_user` | :doc:`rips_complex_ref` |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
+ +----------------------------------------------------------------+------------------------------------------------------------------------+----------------------------------------------------------------------+
+ | .. figure:: | Rips complex is a simplicial complex constructed from a one skeleton | :Authors: Clément Maria, Pawel Dlotko, Vincent Rouvreau, Marc Glisse |
+ | ../../doc/Rips_complex/rips_complex_representation.png | graph. | |
+ | :figclass: align-center | | :Introduced in: GUDHI 2.0.0 |
+ | | The filtration value of each edge is computed from a user-given | |
+ | | distance function and is inserted until a user-given threshold | :Copyright: GPL v3 |
+ | | value. | |
+ | | | |
+ | | This complex can be built from a point cloud and a distance function, | |
+ | | or from a distance matrix. | |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+----------------------------------------------------------------------+
+ | :doc:`rips_complex_user` | :doc:`rips_complex_ref` |
+ +----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------+
diff --git a/src/cython/doc/simplex_tree_sum.inc b/src/cython/doc/simplex_tree_sum.inc
index fb0e54c1..7e10e366 100644
--- a/src/cython/doc/simplex_tree_sum.inc
+++ b/src/cython/doc/simplex_tree_sum.inc
@@ -1,14 +1,13 @@
-================================================================= =================================== ===================================
-:Author: Clément Maria :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| .. figure:: | The simplex tree is an efficient and flexible data structure for |
-| ../../doc/Simplex_tree/Simplex_tree_representation.png | representing general (filtered) simplicial complexes. |
-| :alt: Simplex tree representation | |
-| :figclass: align-center | The data structure is described in |
-| | :cite:`boissonnatmariasimplextreealgorithmica` |
-| Simplex tree representation | |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| :doc:`simplex_tree_user` | :doc:`simplex_tree_ref` |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
+ +----------------------------------------------------------------+------------------------------------------------------------------------+-----------------------------+
+ | .. figure:: | The simplex tree is an efficient and flexible data structure for | :Author: Clément Maria |
+ | ../../doc/Simplex_tree/Simplex_tree_representation.png | representing general (filtered) simplicial complexes. | |
+ | :alt: Simplex tree representation | | :Introduced in: GUDHI 2.0.0 |
+ | :figclass: align-center | The data structure is described in | |
+ | | :cite:`boissonnatmariasimplextreealgorithmica` | :Copyright: GPL v3 |
+ | | | |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+-----------------------------+
+ | :doc:`simplex_tree_user` | :doc:`simplex_tree_ref` |
+ +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------+
diff --git a/src/cython/doc/tangential_complex_sum.inc b/src/cython/doc/tangential_complex_sum.inc
index 72b4d7ba..db1c5ab1 100644
--- a/src/cython/doc/tangential_complex_sum.inc
+++ b/src/cython/doc/tangential_complex_sum.inc
@@ -1,15 +1,14 @@
-================================================================= =================================== ===================================
-:Author: Clément Jamin :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-:Requires: CGAL :math:`\geq` 4.8.0 Eigen3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| .. figure:: | A Tangential Delaunay complex is a simplicial complex designed to |
-| ../../doc/Tangential_complex/tc_examples.png | reconstruct a :math:`k`-dimensional manifold embedded in :math:`d`- |
-| :figclass: align-center | dimensional Euclidean space. The input is a point sample coming from |
-| | an unknown manifold. The running time depends only linearly on the |
-| Tangential complex representation | extrinsic dimension :math:`d` and exponentially on the intrinsic |
-| | dimension :math:`k`. |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
-| :doc:`tangential_complex_user` | :doc:`tangential_complex_ref` |
-+----------------------------------------------------------------+------------------------------------------------------------------------+
+ +----------------------------------------------------------------+------------------------------------------------------------------------+------------------------------------+
+ | .. figure:: | A Tangential Delaunay complex is a simplicial complex designed to | :Author: Clément Jamin |
+ | ../../doc/Tangential_complex/tc_examples.png | reconstruct a :math:`k`-dimensional manifold embedded in :math:`d`- | |
+ | :figclass: align-center | dimensional Euclidean space. The input is a point sample coming from | :Introduced in: GUDHI 2.0.0 |
+ | | an unknown manifold. The running time depends only linearly on the | |
+ | | extrinsic dimension :math:`d` and exponentially on the intrinsic | :Copyright: GPL v3 |
+ | | dimension :math:`k`. | |
+ | | | :Requires: CGAL :math:`\geq` 4.8.0 |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+------------------------------------+
+ | :doc:`tangential_complex_user` | :doc:`tangential_complex_ref` | |
+ +----------------------------------------------------------------+------------------------------------------------------------------------+------------------------------------+
diff --git a/src/cython/doc/witness_complex_sum.inc b/src/cython/doc/witness_complex_sum.inc
index a8a126a0..9dc9aef6 100644
--- a/src/cython/doc/witness_complex_sum.inc
+++ b/src/cython/doc/witness_complex_sum.inc
@@ -1,19 +1,17 @@
-================================================================= =================================== ===================================
-:Author: Siargey Kachanovich :Introduced in: GUDHI 2.0.0 :Copyright: GPL v3
-:Euclidean version requires: CGAL :math:`\geq` 4.6.0 Eigen3
-================================================================= =================================== ===================================
+.. table::
+ :widths: 30 50 20
-+-------------------------------------------------------------------+----------------------------------------------------------------------+
-| .. figure:: | Witness complex :math:`Wit(W,L)` is a simplicial complex defined on |
-| ../../doc/Witness_complex/Witness_complex_representation.png | two sets of points in :math:`\mathbb{R}^D`. |
-| :alt: Witness complex representation | |
-| :figclass: align-center | The data structure is described in |
-| | :cite:`boissonnatmariasimplextreealgorithmica`. |
-| | |
-| Witness complex representation | |
-+-------------------------------------------------------------------+----------------------------------------------------------------------+
-| :doc:`witness_complex_user` | * :doc:`witness_complex_ref` |
-| | * :doc:`strong_witness_complex_ref` |
-| | * :doc:`euclidean_witness_complex_ref` |
-| | * :doc:`euclidean_strong_witness_complex_ref` |
-+-------------------------------------------------------------------+----------------------------------------------------------------------+
+ +-------------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------------------------------------+
+ | .. figure:: | Witness complex :math:`Wit(W,L)` is a simplicial complex defined on | :Author: Siargey Kachanovich |
+ | ../../doc/Witness_complex/Witness_complex_representation.png | two sets of points in :math:`\mathbb{R}^D`. | |
+ | :alt: Witness complex representation | | :Introduced in: GUDHI 2.0.0 |
+ | :figclass: align-center | The data structure is described in | |
+ | | :cite:`boissonnatmariasimplextreealgorithmica`. | :Copyright: GPL v3 |
+ | | | |
+ | | | :Requires: Eigen3 and CGAL :math:`\geq` 4.6.0 for Euclidean versions only |
+ +-------------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------------------------------------+
+ | :doc:`witness_complex_user` | * :doc:`witness_complex_ref` | |
+ | | * :doc:`strong_witness_complex_ref` | |
+ | | * :doc:`euclidean_witness_complex_ref` | |
+ | | * :doc:`euclidean_strong_witness_complex_ref` | |
+ +-------------------------------------------------------------------+----------------------------------------------------------------------+-----------------------------------------------------------------------------+