diff options
Diffstat (limited to 'src/Persistent_cohomology')
6 files changed, 12 insertions, 19 deletions
diff --git a/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp b/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp index 030b072a..3bec8830 100644 --- a/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp +++ b/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp @@ -49,7 +49,7 @@ void timing_persistence(FilteredComplex & cpx * with a Hasse diagram. The Hasse diagram represents explicitly all * codimension 1 incidence relations in the complex, and hence leads to * a faster computation of persistence because boundaries are precomputed. - * Hovewer, the simplex tree may be constructed directly from a point cloud and + * However, the simplex tree may be constructed directly from a point cloud and * is more compact. * We compute persistent homology with coefficient fields Z/2Z and Z/1223Z. * We present also timings for the computation of multi-field persistent diff --git a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h index a3613d0d..94579564 100644 --- a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h +++ b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h @@ -131,8 +131,7 @@ namespace persistent_cohomology { We provide several example files: run these examples with -h for details on their use, and read the README file. -\li <a href="rips_persistence_8cpp-example.html"> -Rips_complex/rips_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its persistence +\li \gudhi_example_link{Rips_complex,rips_persistence.cpp} computes the Rips complex of a point cloud and outputs its persistence diagram. \code $> ./rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3 \endcode \code The complex contains 177838 simplices @@ -144,12 +143,10 @@ diagram. More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="rips_multifield_persistence_8cpp-example.html"> -Persistent_cohomology/rips_multifield_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its +\li \gudhi_example_link{Persistent_cohomology,rips_multifield_persistence.cpp} computes the Rips complex of a point cloud and outputs its persistence diagram with a family of field coefficients. -\li <a href="rips_distance_matrix_persistence_8cpp-example.html"> -Rips_complex/rips_distance_matrix_persistence.cpp</a> computes the Rips complex of a distance matrix and +\li \gudhi_example_link{Rips_complex,rips_distance_matrix_persistence.cpp} computes the Rips complex of a distance matrix and outputs its persistence diagram. The file should contain square or lower triangular distance matrix with semicolons as separators. @@ -158,8 +155,7 @@ Please refer to data/distance_matrix/lower_triangular_distance_matrix.csv for an More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="rips_correlation_matrix_persistence_8cpp-example.html"> -Rips_complex/rips_correlation_matrix_persistence.cpp</a> +\li \gudhi_example_link{Rips_complex,rips_correlation_matrix_persistence.cpp} computes the Rips complex of a correlation matrix and outputs its persistence diagram. Note that no check is performed if the matrix given as the input is a correlation matrix. @@ -169,8 +165,7 @@ Please refer to data/correlation_matrix/lower_triangular_correlation_matrix.csv More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="alpha_complex_3d_persistence_8cpp-example.html"> -Alpha_complex/alpha_complex_3d_persistence.cpp</a> computes the persistent homology with +\li \gudhi_example_link{Alpha_complex,alpha_complex_3d_persistence.cpp} computes the persistent homology with \f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file. \code $> ./alpha_complex_3d_persistence ../../data/points/tore3D_300.off -p 2 -m 0.45 \endcode \code Simplex_tree dim: 3 @@ -235,8 +230,7 @@ Note that the lengths of the sides of the periodic cuboid have to be the same.<b 3 2 36.8838 inf 3 3 58.6783 inf \endcode -\li <a href="alpha_complex_persistence_8cpp-example.html"> -Alpha_complex/alpha_complex_persistence.cpp</a> computes the persistent homology with +\li \gudhi_example_link{Alpha_complex,alpha_complex_persistence.cpp} computes the persistent homology with \f$\mathbb{Z}/p\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file. \code $> ./alpha_complex_persistence -r 32 -p 2 -m 0.45 ../../data/points/tore3D_300.off \endcode \code Alpha complex is of dimension 3 - 9273 simplices - 300 vertices. @@ -248,8 +242,7 @@ Simplex_tree dim: 3 More details on the <a href="../../alphacomplex/">Alpha complex utilities</a> dedicated page. -\li <a href="plain_homology_8cpp-example.html"> -Persistent_cohomology/plain_homology.cpp</a> computes the plain homology of a simple simplicial complex without +\li \gudhi_example_link{Persistent_cohomology,plain_homology.cpp} computes the plain homology of a simple simplicial complex without filtration values. */ diff --git a/src/Persistent_cohomology/example/custom_persistence_sort.cpp b/src/Persistent_cohomology/example/custom_persistence_sort.cpp index 410cd987..bba0b2f7 100644 --- a/src/Persistent_cohomology/example/custom_persistence_sort.cpp +++ b/src/Persistent_cohomology/example/custom_persistence_sort.cpp @@ -33,7 +33,7 @@ using Persistent_cohomology = Gudhi::persistent_cohomology::Persistent_cohomolog Gudhi::persistent_cohomology::Field_Zp >; std::vector<Point> random_points() { - // Instanciate a random point generator + // Instantiate a random point generator CGAL::Random rng(0); // Generate "points_number" random points in a vector diff --git a/src/Persistent_cohomology/example/persistence_from_simple_simplex_tree.cpp b/src/Persistent_cohomology/example/persistence_from_simple_simplex_tree.cpp index bffaabdd..3da6771e 100644 --- a/src/Persistent_cohomology/example/persistence_from_simple_simplex_tree.cpp +++ b/src/Persistent_cohomology/example/persistence_from_simple_simplex_tree.cpp @@ -95,7 +95,7 @@ int main(int argc, char * const argv[]) { SimplexVector = {9, 10, 11}; st.insert_simplex_and_subfaces(SimplexVector, 0.3); - // ++ NINETH + // ++ NINTH std::clog << " - INSERT (2,10,12)" << std::endl; SimplexVector = {2, 10, 12}; st.insert_simplex_and_subfaces(SimplexVector, 0.3); diff --git a/src/Persistent_cohomology/example/rips_multifield_persistence.cpp b/src/Persistent_cohomology/example/rips_multifield_persistence.cpp index 2edf5bc4..ca26a5b9 100644 --- a/src/Persistent_cohomology/example/rips_multifield_persistence.cpp +++ b/src/Persistent_cohomology/example/rips_multifield_persistence.cpp @@ -104,7 +104,7 @@ void program_options(int argc, char * argv[] ("min-field-charac,p", po::value<int>(&min_p)->default_value(2), "Minimal characteristic p of the coefficient field Z/pZ.") ("max-field-charac,q", po::value<int>(&max_p)->default_value(1223), - "Minimial characteristic q of the coefficient field Z/pZ.") + "Maximal characteristic q of the coefficient field Z/pZ.") ("min-persistence,m", po::value<Filtration_value>(&min_persistence), "Minimal lifetime of homology feature to be recorded. Default is 0"); diff --git a/src/Persistent_cohomology/include/gudhi/Persistent_cohomology.h b/src/Persistent_cohomology/include/gudhi/Persistent_cohomology.h index d428e497..2301a66b 100644 --- a/src/Persistent_cohomology/include/gudhi/Persistent_cohomology.h +++ b/src/Persistent_cohomology/include/gudhi/Persistent_cohomology.h @@ -211,7 +211,7 @@ class Persistent_cohomology { /** \brief Update the cohomology groups under the insertion of an edge. * * The 0-homology is maintained with a simple Union-Find data structure, which - * explains the existance of a specific function of edge insertions. */ + * explains the existence of a specific function of edge insertions. */ void update_cohomology_groups_edge(Simplex_handle sigma) { Simplex_handle u, v; boost::tie(u, v) = cpx_->endpoints(sigma); |