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-rw-r--r--src/common/doc/installation.h262
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diff --git a/src/common/doc/examples.h b/src/common/doc/examples.h
new file mode 100644
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@@ -0,0 +1,96 @@
+// List of GUDHI examples - Doxygen needs at least a file tag to analyse comments
+// In user_version, `find . -name "*.cpp"` in example and utilities folders
+/*! @file Examples
+ * @example Alpha_complex/Alpha_complex_from_off.cpp
+ * @example Alpha_complex/Alpha_complex_from_points.cpp
+ * @example Bottleneck_distance/bottleneck_basic_example.cpp
+ * @example Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp
+ * @example Witness_complex/example_nearest_landmark_table.cpp
+ * @example Witness_complex/example_witness_complex_off.cpp
+ * @example Witness_complex/example_witness_complex_sphere.cpp
+ * @example Witness_complex/example_strong_witness_complex_off.cpp
+ * @example Simplex_tree/mini_simplex_tree.cpp
+ * @example Simplex_tree/graph_expansion_with_blocker.cpp
+ * @example Simplex_tree/simple_simplex_tree.cpp
+ * @example Simplex_tree/simplex_tree_from_cliques_of_graph.cpp
+ * @example Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp
+ * @example Simplex_tree/cech_complex_cgal_mini_sphere_3d.cpp
+ * @example Persistent_cohomology/plain_homology.cpp
+ * @example Persistent_cohomology/persistence_from_file.cpp
+ * @example Persistent_cohomology/rips_persistence_step_by_step.cpp
+ * @example Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp
+ * @example Persistent_cohomology/custom_persistence_sort.cpp
+ * @example Persistent_cohomology/persistence_from_simple_simplex_tree.cpp
+ * @example Persistent_cohomology/rips_multifield_persistence.cpp
+ * @example Skeleton_blocker/Skeleton_blocker_from_simplices.cpp
+ * @example Skeleton_blocker/Skeleton_blocker_iteration.cpp
+ * @example Skeleton_blocker/Skeleton_blocker_link.cpp
+ * @example Contraction/Garland_heckbert.cpp
+ * @example Contraction/Rips_contraction.cpp
+ * @example Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp
+ * @example common/example_CGAL_3D_points_off_reader.cpp
+ * @example common/example_vector_double_points_off_reader.cpp
+ * @example common/example_CGAL_points_off_reader.cpp
+ * @example Rips_complex/example_one_skeleton_rips_from_distance_matrix.cpp
+ * @example Rips_complex/example_one_skeleton_rips_from_points.cpp
+ * @example Rips_complex/example_rips_complex_from_csv_distance_matrix_file.cpp
+ * @example Rips_complex/example_rips_complex_from_off_file.cpp
+ * @example Persistence_representations/persistence_intervals.cpp
+ * @example Persistence_representations/persistence_vectors.cpp
+ * @example Persistence_representations/persistence_heat_maps.cpp
+ * @example Persistence_representations/persistence_landscape_on_grid.cpp
+ * @example Persistence_representations/persistence_landscape.cpp
+ * @example Tangential_complex/example_basic.cpp
+ * @example Tangential_complex/example_with_perturb.cpp
+ * @example Subsampling/example_custom_kernel.cpp
+ * @example Subsampling/example_choose_n_farthest_points.cpp
+ * @example Subsampling/example_sparsify_point_set.cpp
+ * @example Subsampling/example_pick_n_random_points.cpp
+ * @example Nerve_GIC/CoordGIC.cpp
+ * @example Nerve_GIC/Nerve.cpp
+ * @example Nerve_GIC/FuncGIC.cpp
+ * @example Nerve_GIC/VoronoiGIC.cpp
+ * @example Spatial_searching/example_spatial_searching.cpp
+ * @example Alpha_complex/alpha_complex_3d_persistence.cpp
+ * @example Alpha_complex/alpha_complex_persistence.cpp
+ * @example Alpha_complex/Weighted_alpha_complex_3d_from_points.cpp
+ * @example Bottleneck_distance/bottleneck_distance.cpp
+ * @example Witness_complex/weak_witness_persistence.cpp
+ * @example Witness_complex/strong_witness_persistence.cpp
+ * @example Bitmap_cubical_complex/cubical_complex_persistence.cpp
+ * @example Bitmap_cubical_complex/periodic_cubical_complex_persistence.cpp
+ * @example common/off_file_from_shape_generator.cpp
+ * @example Rips_complex/rips_distance_matrix_persistence.cpp
+ * @example Rips_complex/rips_persistence.cpp
+ * @example Persistence_representations/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp
+ * @example Persistence_representations/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp
+ * @example Persistence_representations/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp
+ * @example Persistence_representations/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp
+ * @example Persistence_representations/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp
+ * @example Persistence_representations/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp
+ * @example Persistence_representations/persistence_intervals/compute_number_of_dominant_intervals.cpp
+ * @example Persistence_representations/persistence_intervals/plot_persistence_Betti_numbers.cpp
+ * @example Persistence_representations/persistence_intervals/plot_persistence_intervals.cpp
+ * @example Persistence_representations/persistence_intervals/plot_histogram_of_intervals_lengths.cpp
+ * @example Persistence_representations/persistence_intervals/compute_bottleneck_distance.cpp
+ * @example Persistence_representations/persistence_heat_maps/create_pssk.cpp
+ * @example Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_arctan_of_their_persistence.cpp
+ * @example Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp
+ * @example Persistence_representations/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp
+ * @example Persistence_representations/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp
+ * @example Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp
+ * @example Persistence_representations/persistence_heat_maps/average_persistence_heat_maps.cpp
+ * @example Persistence_representations/persistence_heat_maps/plot_persistence_heat_map.cpp
+ * @example Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp
+ * @example Persistence_representations/persistence_vectors/plot_persistence_vectors.cpp
+ * @example Persistence_representations/persistence_vectors/compute_distance_of_persistence_vectors.cpp
+ * @example Persistence_representations/persistence_vectors/average_persistence_vectors.cpp
+ * @example Persistence_representations/persistence_vectors/create_persistence_vectors.cpp
+ * @example Persistence_representations/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp
+ * @example Persistence_representations/persistence_landscapes/average_landscapes.cpp
+ * @example Persistence_representations/persistence_landscapes/compute_scalar_product_of_landscapes.cpp
+ * @example Persistence_representations/persistence_landscapes/create_landscapes.cpp
+ * @example Persistence_representations/persistence_landscapes/compute_distance_of_landscapes.cpp
+ * @example Persistence_representations/persistence_landscapes/plot_landscapes.cpp
+ */
+
diff --git a/src/common/doc/file_formats.h b/src/common/doc/file_formats.h
new file mode 100644
index 00000000..4af5d45c
--- /dev/null
+++ b/src/common/doc/file_formats.h
@@ -0,0 +1,143 @@
+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Clément Jamin
+ *
+ * Copyright (C) 2017 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#ifndef DOC_COMMON_FILE_FORMAT_H_
+#define DOC_COMMON_FILE_FORMAT_H_
+
+namespace Gudhi {
+
+/*! \page fileformats File formats
+
+ \tableofcontents
+
+ \section FileFormatsOFF OFF file format
+
+ OFF files must be conform to format described here: http://www.geomview.org/docs/html/OFF.html
+
+ OFF files are mainly used as point cloud inputs. Here is an example of 7 points in a 3-dimensional space. As edges and
+ faces are not used for point set, there is no need to specify them (just set their numbers to 0):
+
+ \include points/alphacomplexdoc.off
+
+ For dimensions bigger than 3, the dimension can be set like here:
+ \verbatim
+ # Dimension is no more 3
+ nOFF
+ # dimension 4 - 7 vertices - 0 face - 0 edge
+ 4 7 0 0
+ # Point set:
+ 1.0 1.0 0.0 0.0
+ 7.0 0.0 0.0 0.0
+ 4.0 6.0 0.0 0.0
+ 9.0 6.0 0.0 0.0
+ 0.0 14.0 0.0 0.0
+ 2.0 19.0 0.0 0.0
+ 9.0 17.0 0.0 0.0
+ \endverbatim
+
+
+ \section FileFormatsPers Persistence Diagram
+
+ Such a file, whose extension is usually `.pers`, contains a list of persistence intervals.<br>
+ Lines starting with `#` are ignored (comments).<br>
+ Other lines might contain 2, 3 or 4 values (the number of values on each line must be the same for all lines):
+ \verbatim
+ [[field] dimension] birth death
+ \endverbatim
+
+ Here is a simple sample file:
+ \verbatim
+ # Persistence diagram example
+ 2 2.7 3.7
+ 2 9.6 14.
+ # Some comments
+ 3 34.2 34.974
+ 4 3. inf
+ \endverbatim
+
+ Other sample files can be found in the `data/persistence_diagram` folder.
+
+ Such files can be generated with `Gudhi::persistent_cohomology::Persistent_cohomology::output_diagram()` and read with
+ `Gudhi::read_persistence_intervals_and_dimension()`, `Gudhi::read_persistence_intervals_grouped_by_dimension()` or
+ `Gudhi::read_persistence_intervals_in_dimension()`.
+
+
+ \section FileFormatsIsoCuboid Iso-cuboid
+
+ Such a file describes an iso-oriented cuboid with diagonal opposite vertices (min_x, min_y, min_z,...) and (max_x, max_y, max_z, ...). The format is:<br>
+ \verbatim
+ min_x min_y [min_z ...]
+ max_x max_y [max_z ...]
+ \endverbatim
+
+ Here is a simple sample file in the 3D case:
+ \verbatim
+ -1. -1. -1.
+ 1. 1. 1.
+ \endverbatim
+
+
+ \section FileFormatsPerseus Perseus
+
+ This file format is a format inspired from the Perseus software
+ (http://www.sas.upenn.edu/~vnanda/perseus/) by Vidit Nanda.
+ The first line contains a number d begin the dimension of the
+ bitmap (2 in the example below). Next d lines are the numbers of top dimensional cubes in each dimensions (3 and 3
+ in the example below). Next, in lexicographical order, the filtration of top dimensional cubes is given (1 4 6 8
+ 20 4 7 6 5 in the example below).
+
+ \image html "exampleBitmap.png" "Example of a input data."
+
+ The input file for the following complex is:
+ \verbatim
+ 2
+ 3
+ 3
+ 1
+ 4
+ 6
+ 8
+ 20
+ 4
+ 7
+ 6
+ 5
+ \endverbatim
+
+ To indicate periodic boundary conditions in a
+ given direction, then number of top dimensional cells in this direction have to be multiplied by -1. For instance:
+
+ \verbatim
+ 2
+ -3
+ 3
+ 1
+ 4
+ 6
+ 8
+ 20
+ 4
+ 7
+ 6
+ 5
+ \endverbatim
+
+ Indicate that we have imposed periodic boundary conditions in the direction x, but not in the direction y.
+
+ Other sample files can be found in the `data/bitmap` folder.
+
+ \note Unlike in Perseus format the filtration on the maximal cubes can be any double precision number.
+ Consequently one cannot mark the cubes that are not present with `-1`'s. To do that please set their filtration value
+ to \f$+\infty\f$ (aka. `inf` in the file).
+
+*/
+} // namespace Gudhi
+
+#endif // DOC_COMMON_FILE_FORMAT_H_
diff --git a/src/common/doc/footer.html b/src/common/doc/footer.html
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+<!-- HTML footer for doxygen 1.8.6-->
+<!-- start footer part -->
+<table style="width:100%">
+ <tr class="no-bullet shadow-black">
+ <td class="network-entypo">
+<!--BEGIN PROJECT_NAME--> $projectname
+<!--BEGIN PROJECT_NUMBER-->&#160;Version $projectnumber<!--END PROJECT_NUMBER-->
+<!--BEGIN PROJECT_BRIEF-->&#160;-&#160;$projectbrief<!--END PROJECT_BRIEF-->
+<!--BEGIN PROJECT_BRIEF-->&#160;-&#160;Copyright : MIT<!--END PROJECT_BRIEF-->
+<!--END PROJECT_NAME-->
+ </td>
+ <td class="network-entypo">
+<!--BEGIN GENERATE_TREEVIEW-->
+ $generatedby
+ <a href="http://www.doxygen.org/index.html">
+ Doxygen</a> $doxygenversion
+<!--END GENERATE_TREEVIEW-->
+ </td>
+ </tr>
+</table>
+
+</body>
+</html>
diff --git a/src/common/doc/header.html b/src/common/doc/header.html
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+<!-- HTML header for doxygen 1.8.6-->
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!-- GUDHI website : class="no-js" lang="en" is necessary -->
+<html xmlns="http://www.w3.org/1999/xhtml" class="no-js" lang="en">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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+<meta name="generator" content="Doxygen $doxygenversion"/>
+<!--BEGIN PROJECT_NAME--><title>$projectname: $title</title><!--END PROJECT_NAME-->
+<!--BEGIN !PROJECT_NAME--><title>$title</title><!--END !PROJECT_NAME-->
+<!-- GUDHI website css for header BEGIN -->
+<link rel="stylesheet" type="text/css" href="https://gudhi.inria.fr/assets/css/styles_feeling_responsive.css" />
+<!-- GUDHI website css for header END -->
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+<script type="text/javascript" src="$relpath^jquery.js"></script>
+<script type="text/javascript" src="$relpath^dynsections.js"></script>
+$treeview
+$search
+$mathjax
+<link href="$relpath^$stylesheet" rel="stylesheet" type="text/css" />
+$extrastylesheet
+</head>
+<body>
+
+<!-- GUDHI website header BEGIN -->
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+ <nav class="top-bar" role="navigation" data-topbar>
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diff --git a/src/common/doc/installation.h b/src/common/doc/installation.h
new file mode 100644
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--- /dev/null
+++ b/src/common/doc/installation.h
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+/*! \page installation GUDHI installation
+ * \tableofcontents
+ * As GUDHI is a header only library, there is no need to install the library.
+ *
+ * Examples of GUDHI headers inclusion can be found in \ref utilities.
+ *
+ * \section compiling Compiling
+ * The library uses c++14 and requires <a target="_blank" href="http://www.boost.org/">Boost</a> &ge; 1.56.0
+ * and <a target="_blank" href="https://www.cmake.org/">CMake</a> &ge; 3.1.
+ * It is a multi-platform library and compiles on Linux, Mac OSX and Visual Studio 2015.
+ *
+ * \subsection utilities Utilities and examples
+ * To build the utilities, run the following commands in a terminal:
+\verbatim cd /path-to-gudhi/
+mkdir build
+cd build/
+cmake ..
+make \endverbatim
+ * By default, examples are disabled. You can activate their compilation with
+ * <a href="https://cmake.org/cmake/help/v3.0/manual/ccmake.1.html">ccmake</a> (on Linux and Mac OSX),
+ * <a href="https://cmake.org/cmake/help/v3.0/manual/cmake-gui.1.html">cmake-gui</a> (on Windows) or by modifying the
+ * cmake command as follows :
+\verbatim cmake -DWITH_GUDHI_EXAMPLE=ON ..
+make \endverbatim
+ * A list of utilities and examples is available <a href="examples.html">here</a>.
+ *
+ * \subsection libraryinstallation Installation
+ * To install the library (headers and activated utilities), run the following command in a terminal:
+ * \verbatim make install \endverbatim
+ * This action may require to be in the sudoer or administrator of the machine in function of the operating system and
+ * of <a href="https://cmake.org/cmake/help/v3.0/variable/CMAKE_INSTALL_PREFIX.html">CMAKE_INSTALL_PREFIX</a>.
+ *
+ * \subsection testsuites Test suites
+ * To test your build, run the following command in a terminal:
+ * \verbatim make test \endverbatim
+ *
+ * \subsection documentationgeneration Documentation
+ * To generate the documentation, <a target="_blank" href="http://www.doxygen.org/">Doxygen</a> is required.
+ * Run the following command in a terminal:
+\verbatim
+make doxygen
+# Documentation will be generated in the folder YYYY-MM-DD-hh-mm-ss_GUDHI_X.Y.Z/doc/html/
+# You can customize the directory name by calling `cmake -DUSER_VERSION_DIR=/my/custom/folder`
+\endverbatim
+ *
+ * \subsection helloworld Hello world !
+ * The <a target="_blank" href="https://github.com/GUDHI/hello-gudhi-world">Hello world for GUDHI</a>
+ * project is an example to help developers to make their own C++ project on top of the GUDHI library.
+ *
+ * \section optionallibrary Optional third-party library
+ * \subsection gmp GMP
+ * The multi-field persistent homology algorithm requires GMP which is a free library for arbitrary-precision
+ * arithmetic, operating on signed integers, rational numbers, and floating point numbers.
+ *
+ * The following example requires the <a target="_blank" href="http://gmplib.org/">GNU Multiple Precision Arithmetic
+ * Library</a> (GMP) and will not be built if GMP is not installed:
+ * \li <a href="_persistent_cohomology_2rips_multifield_persistence_8cpp-example.html">
+ * Persistent_cohomology/rips_multifield_persistence.cpp</a>
+ *
+ * Having GMP version 4.2 or higher installed is recommended.
+ *
+ * \subsection cgal CGAL
+ * Some GUDHI modules (cf. \ref main_page "modules list"), and few examples require CGAL, a C++ library that provides
+ * easy access to efficient and reliable geometric algorithms.
+ *
+ * \note There is no need to install CGAL, you can just <CODE>cmake . && make</CODE> CGAL (or even
+ * <CODE>cmake -DCGAL_HEADER_ONLY=ON .</CODE>), thereafter you will be able to compile
+ * GUDHI by calling <CODE>cmake -DCGAL_DIR=/your/path/to/CGAL-X.Y .. && make</CODE>
+ *
+ * The procedure to install this library according to
+ * your operating system is detailed here http://doc.cgal.org/latest/Manual/installation.html
+ *
+ * The following examples/utilities require the <a target="_blank" href="http://www.cgal.org/">Computational Geometry Algorithms
+ * Library</a> (CGAL \cite cgal:eb-15b) and will not be built if CGAL version 4.11.0 or higher is not installed:
+ * \li <a href="_simplex_tree_2example_alpha_shapes_3_simplex_tree_from_off_file_8cpp-example.html">
+ * Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp</a>
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_strong_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_strong_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_sphere_8cpp-example.html">
+ * Witness_complex/example_witness_complex_sphere.cpp</a>
+ * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_off.cpp</a>
+ * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
+ * Persistent_cohomology/custom_persistence_sort.cpp</a>
+ * \li <a href="_bottleneck_distance_2alpha_rips_persistence_bottleneck_distance_8cpp-example.html">
+ * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a>
+ * \li <a href="_bottleneck_distance_2bottleneck_basic_example_8cpp-example.html">
+ * Bottleneck_distance/bottleneck_basic_example.cpp</a>
+ * \li <a href="_bottleneck_distance_2bottleneck_read_file_8cpp-example.html">
+ * Bottleneck_distance/bottleneck_distance.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_coord_g_i_c_8cpp-example.html">
+ * Nerve_GIC/CoordGIC.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_func_g_i_c_8cpp-example.html">
+ * Nerve_GIC/FuncGIC.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_nerve_8cpp-example.html">
+ * Nerve_GIC/Nerve.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_voronoi_g_i_c_8cpp-example.html">
+ * Nerve_GIC/VoronoiGIC.cpp</a>
+ * \li <a href="_spatial_searching_2example_spatial_searching_8cpp-example.html">
+ * Spatial_searching/example_spatial_searching.cpp</a>
+ * \li <a href="_subsampling_2example_choose_n_farthest_points_8cpp-example.html">
+ * Subsampling/example_choose_n_farthest_points.cpp</a>
+ * \li <a href="_subsampling_2example_custom_kernel_8cpp-example.html">
+ * Subsampling/example_custom_kernel.cpp</a>
+ * \li <a href="_subsampling_2example_pick_n_random_points_8cpp-example.html">
+ * Subsampling/example_pick_n_random_points.cpp</a>
+ * \li <a href="_subsampling_2example_sparsify_point_set_8cpp-example.html">
+ * Subsampling/example_sparsify_point_set.cpp</a>
+ * \li <a href="_tangential_complex_2example_basic_8cpp-example.html">
+ * Tangential_complex/example_basic.cpp</a>
+ * \li <a href="_tangential_complex_2example_with_perturb_8cpp-example.html">
+ * Tangential_complex/example_with_perturb.cpp</a>
+ * \li <a href="_alpha_complex_2_weighted_alpha_complex_3d_from_points_8cpp-example.html">
+ * Alpha_complex/Weighted_alpha_complex_3d_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_3d_persistence.cpp</a>
+ *
+ * \subsection eigen Eigen
+ * Some GUDHI modules (cf. \ref main_page "modules list"), and few examples require
+ * <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen</a> is a C++ template library for linear algebra:
+ * matrices, vectors, numerical solvers, and related algorithms.
+ *
+ * The following examples/utilities require the <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen</a> and will not be
+ * built if Eigen is not installed:
+ * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_off.cpp</a>
+ * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2_weighted_alpha_complex_3d_from_points_8cpp-example.html">
+ * Alpha_complex/Weighted_alpha_complex_3d_from_points.cpp</a>
+ * \li <a href="_bottleneck_distance_2alpha_rips_persistence_bottleneck_distance_8cpp-example.html">
+ * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a>
+ * \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
+ * Persistent_cohomology/custom_persistence_sort.cpp</a>
+ * \li <a href="_spatial_searching_2example_spatial_searching_8cpp-example.html">
+ * Spatial_searching/example_spatial_searching.cpp</a>
+ * \li <a href="_subsampling_2example_choose_n_farthest_points_8cpp-example.html">
+ * Subsampling/example_choose_n_farthest_points.cpp</a>
+ * \li <a href="_subsampling_2example_custom_kernel_8cpp-example.html">
+ * Subsampling/example_custom_kernel.cpp</a>
+ * \li <a href="_subsampling_2example_pick_n_random_points_8cpp-example.html">
+ * Subsampling/example_pick_n_random_points.cpp</a>
+ * \li <a href="_subsampling_2example_sparsify_point_set_8cpp-example.html">
+ * Subsampling/example_sparsify_point_set.cpp</a>
+ * \li <a href="_tangential_complex_2example_basic_8cpp-example.html">
+ * Tangential_complex/example_basic.cpp</a>
+ * \li <a href="_tangential_complex_2example_with_perturb_8cpp-example.html">
+ * Tangential_complex/example_with_perturb.cpp</a>
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_strong_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_strong_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_sphere_8cpp-example.html">
+ * Witness_complex/example_witness_complex_sphere.cpp</a>
+ *
+ * \subsection tbb Threading Building Blocks
+ * <a target="_blank" href="https://www.threadingbuildingblocks.org/">Intel&reg; TBB</a> lets you easily write parallel
+ * C++ programs that take full advantage of multicore performance, that are portable and composable, and that have
+ * future-proof scalability.
+ *
+ * Having Intel&reg; TBB installed is recommended to parallelize and accelerate some GUDHI computations.
+ *
+ * The following examples/utilities are using Intel&reg; TBB if installed:
+ * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_off.cpp</a>
+ * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
+ * Alpha_complex/Alpha_complex_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_8cpp-example.html">
+ * Bitmap_cubical_complex/cubical_complex_persistence.cpp</a>
+ * \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_periodic_boundary_conditions_8cpp-example.html">
+ * Bitmap_cubical_complex/periodic_cubical_complex_persistence.cpp</a>
+ * \li <a href="_bitmap_cubical_complex_2_random_bitmap_cubical_complex_8cpp-example.html">
+ * Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_coord_g_i_c_8cpp-example.html">
+ * Nerve_GIC/CoordGIC.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_func_g_i_c_8cpp-example.html">
+ * Nerve_GIC/FuncGIC.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_nerve_8cpp-example.html">
+ * Nerve_GIC/Nerve.cpp</a>
+ * \li <a href="_nerve__g_i_c_2_voronoi_g_i_c_8cpp-example.html">
+ * Nerve_GIC/VoronoiGIC.cpp</a>
+ * \li <a href="_simplex_tree_2simple_simplex_tree_8cpp-example.html">
+ * Simplex_tree/simple_simplex_tree.cpp</a>
+ * \li <a href="_simplex_tree_2example_alpha_shapes_3_simplex_tree_from_off_file_8cpp-example.html">
+ * Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp</a>
+ * \li <a href="_simplex_tree_2simplex_tree_from_cliques_of_graph_8cpp-example.html">
+ * Simplex_tree/simplex_tree_from_cliques_of_graph.cpp</a>
+ * \li <a href="_simplex_tree_2graph_expansion_with_blocker_8cpp-example.html">
+ * Simplex_tree/graph_expansion_with_blocker.cpp</a>
+ * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html">
+ * Persistent_cohomology/alpha_complex_persistence.cpp</a>
+ * \li <a href="_persistent_cohomology_2rips_persistence_via_boundary_matrix_8cpp-example.html">
+ * Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp</a>
+ * \li <a href="_persistent_cohomology_2persistence_from_file_8cpp-example.html">
+ * Persistent_cohomology/persistence_from_file.cpp</a>
+ * \li <a href="_persistent_cohomology_2persistence_from_simple_simplex_tree_8cpp-example.html">
+ * Persistent_cohomology/persistence_from_simple_simplex_tree.cpp</a>
+ * \li <a href="_persistent_cohomology_2plain_homology_8cpp-example.html">
+ * Persistent_cohomology/plain_homology.cpp</a>
+ * \li <a href="_persistent_cohomology_2rips_multifield_persistence_8cpp-example.html">
+ * Persistent_cohomology/rips_multifield_persistence.cpp</a>
+ * \li <a href="_persistent_cohomology_2rips_persistence_step_by_step_8cpp-example.html">
+ * Persistent_cohomology/rips_persistence_step_by_step.cpp</a>
+ * \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
+ * Persistent_cohomology/custom_persistence_sort.cpp</a>
+ * \li <a href="_rips_complex_2example_one_skeleton_rips_from_points_8cpp-example.html">
+ * Rips_complex/example_one_skeleton_rips_from_points.cpp</a>
+ * \li <a href="_rips_complex_2example_rips_complex_from_off_file_8cpp-example.html">
+ * Rips_complex/example_rips_complex_from_off_file.cpp</a>
+ * \li <a href="_rips_complex_2rips_distance_matrix_persistence_8cpp-example.html">
+ * Rips_complex/rips_distance_matrix_persistence.cpp</a>
+ * \li <a href="_rips_complex_2rips_persistence_8cpp-example.html">
+ * Rips_complex/rips_persistence.cpp</a>
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_nearest_landmark_table_8cpp-example.html">
+ * Witness_complex/example_nearest_landmark_table.cpp</a>
+ *
+ * \section Contributions Bug reports and contributions
+ * Please help us improving the quality of the GUDHI library. You may report bugs or suggestions to:
+ * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim
+ *
+ * GUDHI is open to external contributions. If you want to join our development team, please contact us.
+ *
+*/
+
+/*! \page Citation Acknowledging the GUDHI library
+ * We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use
+ * of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
+ * Feel free to contact us in case you have any question or remark on this topic.
+ *
+ * We provide \ref GudhiBibtex entries for the modules of the User and Reference Manual, as well as for publications
+ * directly related to the GUDHI library.
+ * \section GudhiBibtex GUDHI bibtex
+ * \verbinclude biblio/how_to_cite_gudhi.bib
+*/
diff --git a/src/common/doc/main_page.md b/src/common/doc/main_page.md
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+[TOC]
+
+# The C++ library {#main_page}
+\image html "Gudhi_banner.png"
+<br><br><br><br>
+
+## Complexes {#Complexes}
+### Cubical complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "Cubical_complex_representation.png"
+ </td>
+ <td width="50%">
+ The cubical complex is an example of a structured complex useful in computational mathematics (specially
+ rigorous numerics) and image analysis.<br>
+ </td>
+ <td width="15%">
+ <b>Author:</b> Pawel Dlotko<br>
+ <b>Introduced in:</b> GUDHI 1.3.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref cubical_complex
+ </td>
+ </tr>
+</table>
+
+### Simplicial complex
+
+#### Alpha complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "alpha_complex_representation.png"
+ </td>
+ <td width="50%">
+ Alpha complex is a simplicial complex constructed from the finite cells of a Delaunay Triangulation.<br>
+ The filtration value of each simplex is computed as the square of the circumradius of the simplex if the
+ circumsphere is empty (the simplex 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.<br>
+ </td>
+ <td width="15%">
+ <b>Author:</b> Vincent Rouvreau<br>
+ <b>Introduced in:</b> GUDHI 1.3.0<br>
+ <b>Copyright:</b> MIT [(GPL v3)](../../licensing/)<br>
+ <b>Requires:</b> \ref eigen &ge; 3.1.0 and \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref alpha_complex
+ </td>
+ </tr>
+</table>
+
+#### Čech complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "cech_complex_representation.png"
+ </td>
+ <td width="50%">
+ The Čech complex is a simplicial complex constructed from a proximity graph.
+ The set of all simplices is filtered by the radius of their minimal enclosing ball.
+ </td>
+ <td width="15%">
+ <b>Author:</b> Vincent Rouvreau<br>
+ <b>Introduced in:</b> GUDHI 2.2.0<br>
+ <b>Copyright:</b> MIT [(GPL v3)](../../licensing/)<br>
+ <b>Includes:</b> [Miniball](https://people.inf.ethz.ch/gaertner/subdir/software/miniball.html)<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref cech_complex
+ </td>
+ </tr>
+</table>
+
+#### Rips complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "rips_complex_representation.png"
+ </td>
+ <td width="50%">
+ Rips complex is a simplicial complex constructed from a one skeleton graph.<br>
+ The filtration value of each edge is computed from a user-given distance function and is inserted until a
+ user-given threshold value.<br>
+ This complex can be built from a point cloud and a distance function, or from a distance matrix.
+ </td>
+ <td width="15%">
+ <b>Author:</b> Cl&eacute;ment Maria, Pawel Dlotko, Vincent Rouvreau, Marc Glisse<br>
+ <b>Introduced in:</b> GUDHI 2.0.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref rips_complex
+ </td>
+ </tr>
+</table>
+
+#### Witness complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "Witness_complex_representation.png"
+ </td>
+ <td width="50%">
+ 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 .
+ </td>
+ <td width="15%">
+ <b>Author:</b> Siargey Kachanovich<br>
+ <b>Introduced in:</b> GUDHI 1.3.0<br>
+ <b>Copyright:</b> MIT ([GPL v3](../../licensing/) for Euclidean version)<br>
+ <b>Euclidean version requires:</b> \ref eigen &ge; 3.1.0 and \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref witness_complex
+ </td>
+ </tr>
+</table>
+
+### Cover Complexes
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "gicvisu.jpg"
+ </td>
+ <td width="50%">
+ Nerves and Graph Induced Complexes are cover complexes, i.e. simplicial complexes that provably contain
+ topological information about the input data. They can be computed with a cover of the
+ data, that comes i.e. from the preimage of a family of intervals covering the image
+ of a scalar-valued function defined on the data. <br>
+ </td>
+ <td width="15%">
+ <b>Author:</b> Mathieu Carri&egrave;re<br>
+ <b>Introduced in:</b> GUDHI 2.1.0<br>
+ <b>Copyright:</b> MIT [(GPL v3)](../../licensing/)<br>
+ <b>Requires:</b> \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref cover_complex
+ </td>
+ </tr>
+</table>
+
+## Data structures and basic operations {#DataStructuresAndBasicOperations}
+
+### Data structures
+
+#### Simplex tree
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "Simplex_tree_representation.png"
+ </td>
+ <td width="50%">
+ The simplex tree is an efficient and flexible
+ data structure for representing general (filtered) simplicial complexes. The data structure
+ is described in \cite boissonnatmariasimplextreealgorithmica .
+ </td>
+ <td width="15%">
+ <b>Author:</b> Cl&eacute;ment Maria<br>
+ <b>Introduced in:</b> GUDHI 1.0.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref simplex_tree
+ </td>
+ </tr>
+</table>
+
+#### Skeleton blocker
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "ds_representation.png"
+ </td>
+ <td width="50%">
+ 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.
+ This data-structure handles all simplicial complexes operations such as simplex enumeration or simplex removal but
+ operations that are particularly efficient are operations that do not require simplex enumeration such as edge
+ iteration, link computation or simplex contraction.
+ </td>
+ <td width="15%">
+ <b>Author:</b> David Salinas<br>
+ <b>Introduced in:</b> GUDHI 1.1.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref skbl
+ </td>
+ </tr>
+</table>
+
+#### Toplex Map
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "map.png"
+ </td>
+ <td width="50%">
+ The Toplex map data structure is composed firstly of a raw storage of toplices (the maximal simplices)
+ and secondly of a map which associate any vertex to a set of pointers toward all toplices
+ containing this vertex.
+ </td>
+ <td width="15%">
+ <b>Author:</b> Fran&ccedil;ois Godi<br>
+ <b>Introduced in:</b> GUDHI 2.1.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref toplex_map
+ </td>
+ </tr>
+</table>
+
+### Basic operations
+
+#### Contraction
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "sphere_contraction_representation.png"
+ </td>
+ <td width="50%">
+ 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.
+ </td>
+ <td width="15%">
+ <b>Author:</b> David Salinas<br>
+ <b>Introduced in:</b> GUDHI 1.1.0<br>
+ <b>Copyright:</b> MIT [(LGPL v3)](../../licensing/)<br>
+ <b>Requires:</b> \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref contr
+ </td>
+ </tr>
+</table>
+
+## Topological descriptors computation {#TopologicalDescriptorsComputation}
+
+### Persistent Cohomology
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "3DTorus_poch.png"
+ </td>
+ <td width="50%">
+ 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 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 .
+ </td>
+ <td width="15%">
+ <b>Author:</b> Cl&eacute;ment Maria<br>
+ <b>Introduced in:</b> GUDHI 1.0.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref persistent_cohomology
+ </td>
+ </tr>
+</table>
+
+## Manifold reconstruction {#ManifoldReconstruction}
+
+### Tangential complex
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "tc_examples.png"
+ </td>
+ <td width="50%">
+ A Tangential Delaunay complex is a <a target="_blank" href="https://en.wikipedia.org/wiki/Simplicial_complex">simplicial complex</a>
+ designed to reconstruct a \f$ k \f$-dimensional manifold embedded in \f$ d \f$-dimensional Euclidean space.
+ The input is a point sample coming from an unknown manifold.
+ The running time depends only linearly on the extrinsic dimension \f$ d \f$
+ and exponentially on the intrinsic dimension \f$ k \f$.
+ </td>
+ <td width="15%">
+ <b>Author:</b> Cl&eacute;ment Jamin<br>
+ <b>Introduced in:</b> GUDHI 2.0.0<br>
+ <b>Copyright:</b> MIT [(GPL v3)](../../licensing/)<br>
+ <b>Requires:</b> \ref eigen &ge; 3.1.0 and \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref tangential_complex
+ </td>
+ </tr>
+</table>
+
+## Topological descriptors tools {#TopologicalDescriptorsTools}
+
+### Bottleneck distance
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "perturb_pd.png"
+ </td>
+ <td width="50%">
+ Bottleneck distance measures the similarity between two persistence diagrams.
+ It's the shortest distance b for which there exists a perfect matching between
+ the points of the two diagrams (+ all the diagonal points) such that
+ any couple of matched points are at distance at most b,
+ where the distance between points is the sup norm in \f$\mathbb{R}^2\f$
+ (not the Euclidean distance).
+ </td>
+ <td width="15%">
+ <b>Author:</b> Fran&ccedil;ois Godi<br>
+ <b>Introduced in:</b> GUDHI 2.0.0<br>
+ <b>Copyright:</b> MIT [(GPL v3)](../../licensing/)<br>
+ <b>Requires:</b> \ref cgal &ge; 4.11.0
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref bottleneck_distance
+ </td>
+ </tr>
+</table>
+
+### Persistence representations
+
+<table>
+ <tr>
+ <td width="35%" rowspan=2>
+ \image html "average_landscape.png"
+ </td>
+ <td width="50%">
+ It contains implementation of various representations of persistence diagrams; diagrams themselves, persistence
+ landscapes (rigorous and grid version), persistence heat maps, vectors and others. It implements basic
+ functionalities which are necessary to use persistence in statistics and machine learning.
+ </td>
+ <td width="15%">
+ <b>Author:</b> Pawel Dlotko<br>
+ <b>Introduced in:</b> GUDHI 2.1.0<br>
+ <b>Copyright:</b> MIT<br>
+ </td>
+ </tr>
+ <tr>
+ <td colspan=2 height="25">
+ <b>User manual:</b> \ref Persistence_representations
+ </td>
+ </tr>
+</table>
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+ border-right: 1px solid #A8B8D9;
+ border-bottom: 1px solid #A8B8D9;
+ vertical-align: top;
+}
+
+.fieldtable td.fieldname {
+ padding-top: 3px;
+}
+
+.fieldtable td.fielddoc {
+ border-bottom: 1px solid #A8B8D9;
+ /*width: 100%;*/
+}
+
+.fieldtable td.fielddoc p:first-child {
+ margin-top: 0px;
+}
+
+.fieldtable td.fielddoc p:last-child {
+ margin-bottom: 2px;
+}
+
+.fieldtable tr:last-child td {
+ border-bottom: none;
+}
+
+.fieldtable th {
+ background-image:url('nav_f.png');
+ background-repeat:repeat-x;
+ background-color: #E2E8F2;
+ font-size: 90%;
+ color: #253555;
+ padding-bottom: 4px;
+ padding-top: 5px;
+ text-align:left;
+ -moz-border-radius-topleft: 4px;
+ -moz-border-radius-topright: 4px;
+ -webkit-border-top-left-radius: 4px;
+ -webkit-border-top-right-radius: 4px;
+ border-top-left-radius: 4px;
+ border-top-right-radius: 4px;
+ border-bottom: 1px solid #A8B8D9;
+}
+
+
+.tabsearch {
+ top: 0px;
+ left: 10px;
+ height: 36px;
+ background-image: url('tab_b.png');
+ z-index: 101;
+ overflow: hidden;
+ font-size: 13px;
+}
+
+.navpath ul
+{
+ font-size: 11px;
+ background-image:url('tab_b.png');
+ background-repeat:repeat-x;
+ background-position: 0 -5px;
+ height:30px;
+ line-height:30px;
+ color:#8AA0CC;
+ border:solid 1px #C2CDE4;
+ overflow:hidden;
+ margin:0px;
+ padding:0px;
+}
+
+.navpath li
+{
+ list-style-type:none;
+ float:left;
+ padding-left:10px;
+ padding-right:15px;
+ background-image:url('bc_s.png');
+ background-repeat:no-repeat;
+ background-position:right;
+ color:#364D7C;
+}
+
+.navpath li.navelem a
+{
+ height:32px;
+ display:block;
+ text-decoration: none;
+ outline: none;
+ color: #283A5D;
+ font-family: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
+ text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
+ text-decoration: none;
+}
+
+.navpath li.navelem a:hover
+{
+ color:#6884BD;
+}
+
+.navpath li.footer
+{
+ list-style-type:none;
+ float:right;
+ padding-left:10px;
+ padding-right:15px;
+ background-image:none;
+ background-repeat:no-repeat;
+ background-position:right;
+ color:#364D7C;
+ font-size: 8pt;
+}
+
+
+div.summary
+{
+ float: right;
+ font-size: 8pt;
+ padding-right: 5px;
+ width: 50%;
+ text-align: right;
+}
+
+div.summary a
+{
+ white-space: nowrap;
+}
+
+div.ingroups
+{
+ font-size: 8pt;
+ width: 50%;
+ text-align: left;
+}
+
+div.ingroups a
+{
+ white-space: nowrap;
+}
+
+div.header
+{
+ background-image:url('nav_h.png');
+ background-repeat:repeat-x;
+ background-color: #F9FAFC;
+ margin: 0px;
+ border-bottom: 1px solid #C4CFE5;
+}
+
+div.headertitle
+{
+ padding: 5px 5px 5px 10px;
+}
+
+dl
+{
+ padding: 0 0 0 10px;
+}
+
+/* dl.note, dl.warning, dl.attention, dl.pre, dl.post, dl.invariant, dl.deprecated, dl.todo, dl.test, dl.bug */
+dl.section
+{
+ margin-left: 0px;
+ padding-left: 0px;
+}
+
+dl.note
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #D0C000;
+}
+
+dl.warning, dl.attention
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #FF0000;
+}
+
+dl.pre, dl.post, dl.invariant
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #00D000;
+}
+
+dl.deprecated
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #505050;
+}
+
+dl.todo
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #00C0E0;
+}
+
+dl.test
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #3030E0;
+}
+
+dl.bug
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #C08050;
+}
+
+dl.section dd {
+ margin-bottom: 6px;
+}
+
+
+#projectlogo
+{
+ text-align: center;
+ vertical-align: bottom;
+ border-collapse: separate;
+}
+
+#projectlogo img
+{
+ border: 0px none;
+}
+
+#projectname
+{
+ border: 0px none;
+ font: 300% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 2px 0px;
+}
+
+#projectbrief
+{
+ font: 60% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 0px;
+}
+
+#projectnumber
+{
+ font: 80% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 0px;
+}
+
+#titlearea
+{
+ padding: 0px;
+ margin: 0px;
+ width: 100%;
+ border-bottom: 1px solid #5373B4;
+}
+
+.image
+{
+ text-align: center;
+}
+
+.dotgraph
+{
+ text-align: center;
+}
+
+.mscgraph
+{
+ text-align: center;
+}
+
+.diagraph
+{
+ text-align: center;
+}
+
+.caption
+{
+ font-weight: bold;
+}
+
+div.zoom
+{
+ border: 1px solid #90A5CE;
+}
+
+dl.citelist {
+ margin-bottom:50px;
+}
+
+dl.citelist dt {
+ color:#334975;
+ float:left;
+ font-weight:bold;
+ margin-right:10px;
+ padding:5px;
+}
+
+dl.citelist dd {
+ margin:2px 0;
+ padding:5px 0;
+}
+
+div.toc {
+ padding: 14px 25px;
+ background-color: #F4F6FA;
+ border: 1px solid #D8DFEE;
+ border-radius: 7px 7px 7px 7px;
+ float: right;
+ height: auto;
+ margin: 0 20px 10px 10px;
+ width: 200px;
+}
+
+div.toc li {
+ background: url("bdwn.png") no-repeat scroll 0 5px transparent;
+ font: 10px/1.2 Verdana,DejaVu Sans,Geneva,sans-serif;
+ margin-top: 5px;
+ padding-left: 10px;
+ padding-top: 2px;
+}
+
+div.toc h3 {
+ font: bold 12px/1.2 Arial,FreeSans,sans-serif;
+ color: #4665A2;
+ border-bottom: 0 none;
+ margin: 0;
+}
+
+div.toc ul {
+ list-style: none outside none;
+ border: medium none;
+ padding: 0px;
+}
+
+div.toc li.level1 {
+ margin-left: 0px;
+}
+
+div.toc li.level2 {
+ margin-left: 15px;
+}
+
+div.toc li.level3 {
+ margin-left: 30px;
+}
+
+div.toc li.level4 {
+ margin-left: 45px;
+}
+
+.inherit_header {
+ font-weight: bold;
+ color: gray;
+ cursor: pointer;
+ -webkit-touch-callout: none;
+ -webkit-user-select: none;
+ -khtml-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.inherit_header td {
+ padding: 6px 0px 2px 5px;
+}
+
+.inherit {
+ display: none;
+}
+
+tr.heading h2 {
+ margin-top: 12px;
+ margin-bottom: 4px;
+}
+
+/* tooltip related style info */
+
+.ttc {
+ position: absolute;
+ display: none;
+}
+
+#powerTip {
+ cursor: default;
+ white-space: nowrap;
+ background-color: white;
+ border: 1px solid gray;
+ border-radius: 4px 4px 4px 4px;
+ box-shadow: 1px 1px 7px gray;
+ display: none;
+ font-size: smaller;
+ max-width: 80%;
+ opacity: 0.9;
+ padding: 1ex 1em 1em;
+ position: absolute;
+ z-index: 2147483647;
+}
+
+#powerTip div.ttdoc {
+ color: grey;
+ font-style: italic;
+}
+
+#powerTip div.ttname a {
+ font-weight: bold;
+}
+
+#powerTip div.ttname {
+ font-weight: bold;
+}
+
+#powerTip div.ttdeci {
+ color: #006318;
+}
+
+#powerTip div {
+ margin: 0px;
+ padding: 0px;
+ font: 12px/16px Roboto,sans-serif;
+}
+
+#powerTip:before, #powerTip:after {
+ content: "";
+ position: absolute;
+ margin: 0px;
+}
+
+#powerTip.n:after, #powerTip.n:before,
+#powerTip.s:after, #powerTip.s:before,
+#powerTip.w:after, #powerTip.w:before,
+#powerTip.e:after, #powerTip.e:before,
+#powerTip.ne:after, #powerTip.ne:before,
+#powerTip.se:after, #powerTip.se:before,
+#powerTip.nw:after, #powerTip.nw:before,
+#powerTip.sw:after, #powerTip.sw:before {
+ border: solid transparent;
+ content: " ";
+ height: 0;
+ width: 0;
+ position: absolute;
+}
+
+#powerTip.n:after, #powerTip.s:after,
+#powerTip.w:after, #powerTip.e:after,
+#powerTip.nw:after, #powerTip.ne:after,
+#powerTip.sw:after, #powerTip.se:after {
+ border-color: rgba(255, 255, 255, 0);
+}
+
+#powerTip.n:before, #powerTip.s:before,
+#powerTip.w:before, #powerTip.e:before,
+#powerTip.nw:before, #powerTip.ne:before,
+#powerTip.sw:before, #powerTip.se:before {
+ border-color: rgba(128, 128, 128, 0);
+}
+
+#powerTip.n:after, #powerTip.n:before,
+#powerTip.ne:after, #powerTip.ne:before,
+#powerTip.nw:after, #powerTip.nw:before {
+ top: 100%;
+}
+
+#powerTip.n:after, #powerTip.ne:after, #powerTip.nw:after {
+ border-top-color: #ffffff;
+ border-width: 10px;
+ margin: 0px -10px;
+}
+#powerTip.n:before {
+ border-top-color: #808080;
+ border-width: 11px;
+ margin: 0px -11px;
+}
+#powerTip.n:after, #powerTip.n:before {
+ left: 50%;
+}
+
+#powerTip.nw:after, #powerTip.nw:before {
+ right: 14px;
+}
+
+#powerTip.ne:after, #powerTip.ne:before {
+ left: 14px;
+}
+
+#powerTip.s:after, #powerTip.s:before,
+#powerTip.se:after, #powerTip.se:before,
+#powerTip.sw:after, #powerTip.sw:before {
+ bottom: 100%;
+}
+
+#powerTip.s:after, #powerTip.se:after, #powerTip.sw:after {
+ border-bottom-color: #ffffff;
+ border-width: 10px;
+ margin: 0px -10px;
+}
+
+#powerTip.s:before, #powerTip.se:before, #powerTip.sw:before {
+ border-bottom-color: #808080;
+ border-width: 11px;
+ margin: 0px -11px;
+}
+
+#powerTip.s:after, #powerTip.s:before {
+ left: 50%;
+}
+
+#powerTip.sw:after, #powerTip.sw:before {
+ right: 14px;
+}
+
+#powerTip.se:after, #powerTip.se:before {
+ left: 14px;
+}
+
+#powerTip.e:after, #powerTip.e:before {
+ left: 100%;
+}
+#powerTip.e:after {
+ border-left-color: #ffffff;
+ border-width: 10px;
+ top: 50%;
+ margin-top: -10px;
+}
+#powerTip.e:before {
+ border-left-color: #808080;
+ border-width: 11px;
+ top: 50%;
+ margin-top: -11px;
+}
+
+#powerTip.w:after, #powerTip.w:before {
+ right: 100%;
+}
+#powerTip.w:after {
+ border-right-color: #ffffff;
+ border-width: 10px;
+ top: 50%;
+ margin-top: -10px;
+}
+#powerTip.w:before {
+ border-right-color: #808080;
+ border-width: 11px;
+ top: 50%;
+ margin-top: -11px;
+}
+
+@media print
+{
+ #top { display: none; }
+ #side-nav { display: none; }
+ #nav-path { display: none; }
+ body { overflow:visible; }
+ h1, h2, h3, h4, h5, h6 { page-break-after: avoid; }
+ .summary { display: none; }
+ .memitem { page-break-inside: avoid; }
+ #doc-content
+ {
+ margin-left:0 !important;
+ height:auto !important;
+ width:auto !important;
+ overflow:inherit;
+ display:inline;
+ }
+}
+
generated by cgit v1.2.3 (git 2.39.1) at 2024-05-17 09:06:06 +0000