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-:orphan:
-
-.. To get rid of WARNING: document isn't included in any toctree
-
-Persistent cohomology user manual
-=================================
-Definition
-----------
-===================================== ===================================== =====================================
-:Author: Clément Maria :Introduced in: GUDHI PYTHON 2.0.0 :Copyright: GPL v3
-===================================== ===================================== =====================================
-
-+---------------------------------------------+----------------------------------------------------------------------+
-| :doc:`persistent_cohomology_user` | Please refer to each data structure that contains persistence |
-| | feature for reference: |
-| | |
-| | * :doc:`simplex_tree_ref` |
-+---------------------------------------------+----------------------------------------------------------------------+
-
-
-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`.
-
-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 theory is
-essentially composed of three elements:
-
-* topological spaces
-* their homology groups
-* an evolution scheme.
-
-Topological Spaces
-------------------
-
-Topological spaces are represented by simplicial complexes.
-Let :math:`V = \{1, \cdots ,|V|\}` be a set of *vertices*.
-A *simplex* :math:`\sigma` is a subset of vertices :math:`\sigma \subseteq V`.
-A *simplicial complex* :math:`\mathbf{K}` on :math:`V` is a collection of simplices :math:`\{\sigma\}`,
-:math:`\sigma \subseteq V`, such that :math:`\tau \subseteq \sigma \in \mathbf{K} \Rightarrow \tau \in \mathbf{K}`.
-The dimension :math:`n=|\sigma|-1` of :math:`\sigma` is its number of elements minus 1.
-A *filtration* of a simplicial complex is a function :math:`f:\mathbf{K} \rightarrow \mathbb{R}` satisfying
-:math:`f(\tau)\leq f(\sigma)` whenever :math:`\tau \subseteq \sigma`.
-
-Homology
---------
-
-For a ring :math:`\mathcal{R}`, the group of *n-chains*, denoted :math:`\mathbf{C}_n(\mathbf{K},\mathcal{R})`, of
-:math:`\mathbf{K}` is the group of formal sums of n-simplices with :math:`\mathcal{R}` coefficients. The
-*boundary operator* is a linear operator
-:math:`\partial_n: \mathbf{C}_n(\mathbf{K},\mathcal{R}) \rightarrow \mathbf{C}_{n-1}(\mathbf{K},\mathcal{R})`
-such that :math:`\partial_n \sigma = \partial_n [v_0, \cdots , v_n] = \sum_{i=0}^n (-1)^{i}[v_0,\cdots ,\widehat{v_i}, \cdots,v_n]`,
-where :math:`\widehat{v_i}` means :math:`v_i` is omitted from the list. The chain groups form a sequence:
-
-.. math::
-
- \cdots \ \ \mathbf{C}_n(\mathbf{K},\mathcal{R}) \xrightarrow{\ \partial_n\ }
- \mathbf{C}_{n-1}(\mathbf{K},\mathcal{R}) \xrightarrow{\partial_{n-1}} \cdots \xrightarrow{\ \partial_2 \ }
- \mathbf{C}_1(\mathbf{K},\mathcal{R}) \xrightarrow{\ \partial_1 \ } \mathbf{C}_0(\mathbf{K},\mathcal{R})
-
-of finitely many groups :math:`\mathbf{C}_n(\mathbf{K},\mathcal{R})` and homomorphisms :math:`\partial_n`, indexed by
-the dimension :math:`n \geq 0`. The boundary operators satisfy the property :math:`\partial_n \circ \partial_{n+1}=0`
-for every :math:`n > 0` and we define the homology groups:
-
-.. math::
-
- \mathbf{H}_n(\mathbf{K},\mathcal{R}) = \ker \partial_n / \mathrm{im} \ \partial_{n+1}
-
-We refer to :cite:`Munkres-elementsalgtop1984` for an introduction to homology
-theory and to :cite:`DBLP:books/daglib/0025666` for an introduction to persistent homology.
-
-Indexing Scheme
----------------
-
-"Changing" a simplicial complex consists in applying a simplicial map. An *indexing scheme* is a directed graph
-together with a traversal order, such that two consecutive nodes in the graph are connected by an arrow (either forward
-or backward).
-The nodes represent simplicial complexes and the directed edges simplicial maps.
-
-From the computational point of view, there are two types of indexing schemes of interest in persistent homology:
-
-* linear ones
- :math:`\bullet \longrightarrow \bullet \longrightarrow \cdots \longrightarrow \bullet \longrightarrow \bullet`
- in persistent homology :cite:`DBLP:journals/dcg/ZomorodianC05`,
-* zigzag ones
- :math:`\bullet \longrightarrow \bullet \longleftarrow \cdots \longrightarrow \bullet \longleftarrow \bullet`
- in zigzag persistent homology :cite:`DBLP:journals/focm/CarlssonS10`.
-
-These indexing schemes have a natural left-to-right traversal order, and we describe them with ranges and iterators.
-In the current release of the Gudhi library, only the linear case is implemented.
-
-In the following, we consider the case where the indexing scheme is induced by a filtration.
-
-Ordering the simplices by increasing filtration values (breaking ties so as a simplex appears after its subsimplices of
-same filtration value) provides an indexing scheme.
-
-Examples
---------
-
-We provide several example files: run these examples with -h for details on their use.
-
-.. only:: builder_html
-
- * :download:`alpha_complex_diagram_persistence_from_off_file_example.py <../example/alpha_complex_diagram_persistence_from_off_file_example.py>`
- * :download:`periodic_cubical_complex_barcode_persistence_from_perseus_file_example.py <../example/periodic_cubical_complex_barcode_persistence_from_perseus_file_example.py>`
- * :download:`rips_complex_diagram_persistence_from_off_file_example.py <../example/rips_complex_diagram_persistence_from_off_file_example.py>`
- * :download:`rips_persistence_diagram.py <../example/rips_persistence_diagram.py>`
- * :download:`rips_complex_diagram_persistence_from_distance_matrix_file_example.py <../example/rips_complex_diagram_persistence_from_distance_matrix_file_example.py>`
- * :download:`random_cubical_complex_persistence_example.py <../example/random_cubical_complex_persistence_example.py>`
- * :download:`tangential_complex_plain_homology_from_off_file_example.py <../example/tangential_complex_plain_homology_from_off_file_example.py>`
-
-Bibliography
-============
-
-.. bibliography:: ../../biblio/bibliography.bib
- :filter: docnames
- :style: unsrt