/* This file is part of the Gudhi Library. The Gudhi library * (Geometric Understanding in Higher Dimensions) is a generic C++ * library for computational topology. * * Author(s): Pawel Dlotko * * Copyright (C) 2015 INRIA Sophia-Saclay (France) * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #ifndef DOC_GUDHI_CUBICAL_COMPLEX_COMPLEX_H_ #define DOC_GUDHI_CUBICAL_COMPLEX_COMPLEX_H_ namespace Gudhi { namespace cubical_complex { /** \defgroup cubical_complex Cubical complex * * \author Pawel Dlotko * * @{ * * Bitmap_cubical_complex is an example of a structured complex useful in computational mathematics (specially rigorous * numerics) and image analysis. The presented implementation of cubical complexes is based on the following * definition. * * An elementary interval is an interval of a form \f$ [n,n+1] \f$, or \f$[n,n]\f$, for \f$ n \in \mathcal{Z} * \f$. The first one is called non-degenerate, while the second one is \a degenerate interval. A * boundary of a elementary interval is a chain \f$\partial [n,n+1] = [n+1,n+1]-[n,n] \f$ in case of * non-degenerated elementary interval and \f$\partial [n,n] = 0 \f$ in case of degenerate elementary interval. An * elementary cube \f$ C \f$ is a product of elementary intervals, \f$C=I_1 \times \ldots \times I_n\f$. * Embedding dimension of a cube is n, the number of elementary intervals (degenerate or not) in the product. * A dimension of a cube \f$C=I_1 \times ... \times I_n\f$ is the number of non degenerate elementary * intervals in the product. A boundary of a cube \f$C=I_1 \times \ldots \times I_n\f$ is a chain obtained * in the following way: * \f[\partial C = (\partial I_1 \times \ldots \times I_n) + (I_1 \times \partial I_2 \times \ldots \times I_n) + * \ldots + (I_1 \times I_2 \times \ldots \times \partial I_n).\f] * A cubical complex \f$\mathcal{K}\f$ is a collection of cubes closed under operation of taking boundary * (i.e. boundary of every cube from the collection is in the collection). A cube \f$C\f$ in cubical complex * \f$\mathcal{K}\f$ is maximal if it is not in a boundary of any other cube in \f$\mathcal{K}\f$. A \a * support of a cube \f$C\f$ is the set in \f$\mathbb{R}^n\f$ occupied by \f$C\f$ (\f$n\f$ is the embedding dimension * of \f$C\f$). * * Cubes may be equipped with a filtration values in which case we have filtered cubical complex. All the cubical * complexes considered in this implementation are filtered cubical complexes (although, the range of a filtration may * be a set of two elements). * * For further details and theory of cubical complexes, please consult \cite kaczynski2004computational as well as the * following paper \cite peikert2012topological . * * \section cubicalcomplexdatastructure Data structure * * The implementation of Cubical complex provides a representation of complexes that occupy a rectangular region in * \f$\mathbb{R}^n\f$. This extra assumption allows for a memory efficient way of storing cubical complexes in a form * of so called bitmaps. Let \f$R = [b_1,e_1] \times \ldots \times [b_n,e_n]\f$, for \f$b_1,...b_n,e_1,...,e_n \in * \mathbb{Z}\f$, \f$b_i \leq d_i\f$ be the considered rectangular region and let \f$\mathcal{K}\f$ be a filtered * cubical complex having the rectangle \f$R\f$ as its support. Note that the structure of the coordinate system gives * a way a lexicographical ordering of cells of \f$\mathcal{K}\f$. This ordering is a base of the presented * bitmap-based implementation. In this implementation, the whole cubical complex is stored as a vector of the values * of filtration. This, together with dimension of \f$\mathcal{K}\f$ and the sizes of \f$\mathcal{K}\f$ in all * directions, allows to determine, dimension, neighborhood, boundary and coboundary of every cube \f$C \in * \mathcal{K}\f$. * * \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 * number of maximal cubes in the considered direction. Let us consider a cube at the position \f$k\f$ in the bitmap. * Knowing the sizes of the bitmap, by a series of modulo operation, we can determine which elementary intervals are * present in the product that gives the cube \f$C\f$. In a similar way, we can compute boundary and the coboundary of * each cube. Further details can be found in the literature. * * \section inputformat Input Format * * In the current implantation, filtration is given at the maximal cubes, and it is then extended by the lower star * filtration to all cubes. There are a number of constructors that can be used to construct cubical complex by users * who want to use the code directly. They can be found in the \a Bitmap_cubical_complex class. * Currently one input from a text file is used. It uses a format used already in Perseus software * (http://www.sas.upenn.edu/~vnanda/perseus/) by Vidit Nanda. The file format is described here: \ref FileFormatsPerseus. * * \section PeriodicBoundaryConditions Periodic boundary conditions * Often one would like to impose periodic boundary conditions to the cubical complex. Let \f$ I_1\times ... \times * I_n \f$ be a box that is decomposed with a cubical complex \f$ \mathcal{K} \f$. Imposing periodic boundary * conditions in the direction i, means that the left and the right side of a complex \f$ \mathcal{K} \f$ are * considered the same. In particular, if for a bitmap \f$ \mathcal{K} \f$ periodic boundary conditions are imposed * in all directions, then complex \f$ \mathcal{K} \f$ became n-dimensional torus. One can use various constructors * from the file Bitmap_cubical_complex_periodic_boundary_conditions_base.h to construct cubical complex with periodic * boundary conditions. One can also use Perseus style input files (see \ref FileFormatsPerseus). * * \section BitmapExamples Examples * End user programs are available in example/Bitmap_cubical_complex and utilities/Bitmap_cubical_complex folders. * */ /** @} */ // end defgroup cubical_complex } // namespace cubical_complex namespace Cubical_complex = cubical_complex; } // namespace Gudhi #endif // DOC_GUDHI_CUBICAL_COMPLEX_COMPLEX_H_