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-rw-r--r--src/Rips_complex/utilities/CMakeLists.txt5
-rw-r--r--src/Rips_complex/utilities/README110
-rw-r--r--src/Rips_complex/utilities/ripscomplex.md28
-rw-r--r--src/Rips_complex/utilities/sparse_rips_persistence.cpp145
4 files changed, 287 insertions, 1 deletions
diff --git a/src/Rips_complex/utilities/CMakeLists.txt b/src/Rips_complex/utilities/CMakeLists.txt
index baa571fa..55cf5a6a 100644
--- a/src/Rips_complex/utilities/CMakeLists.txt
+++ b/src/Rips_complex/utilities/CMakeLists.txt
@@ -7,9 +7,13 @@ target_link_libraries(rips_distance_matrix_persistence ${Boost_PROGRAM_OPTIONS_L
add_executable(rips_persistence rips_persistence.cpp)
target_link_libraries(rips_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+add_executable(sparse_rips_persistence sparse_rips_persistence.cpp)
+target_link_libraries(sparse_rips_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
if (TBB_FOUND)
target_link_libraries(rips_distance_matrix_persistence ${TBB_LIBRARIES})
target_link_libraries(rips_persistence ${TBB_LIBRARIES})
+ target_link_libraries(sparse_rips_persistence ${TBB_LIBRARIES})
endif()
add_test(NAME Rips_complex_utility_from_rips_distance_matrix COMMAND $<TARGET_FILE:rips_distance_matrix_persistence>
@@ -19,3 +23,4 @@ add_test(NAME Rips_complex_utility_from_rips_on_tore_3D COMMAND $<TARGET_FILE:ri
install(TARGETS rips_distance_matrix_persistence DESTINATION bin)
install(TARGETS rips_persistence DESTINATION bin)
+install(TARGETS sparse_rips_persistence DESTINATION bin)
diff --git a/src/Rips_complex/utilities/README b/src/Rips_complex/utilities/README
new file mode 100644
index 00000000..390e31f8
--- /dev/null
+++ b/src/Rips_complex/utilities/README
@@ -0,0 +1,110 @@
+# Rips_complex #
+
+## `rips_persistence` ##
+This program computes the persistent homology with coefficient field *Z/pZ* of a Rips complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim birth death`
+
+where `dim` is the dimension of the homological feature, `birth` and `death` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+`rips_persistence [options] <OFF input file>`
+
+**Allowed options**
+
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-r [ --max-edge-length ]` (default = inf) Maximal length of an edge for the Rips complex construction.
+* `-d [ --cpx-dimension ]` (default = 1) Maximal dimension of the Rips complex we want to compute.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+Beware: this program may use a lot of RAM and take a lot of time if `max-edge-length` is set to a large value.
+
+**Example 1 with Z/2Z coefficients**
+`rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 2`
+
+outputs:
+```
+2 0 0 inf
+2 1 0.0983494 inf
+2 1 0.104347 inf
+2 2 0.138335 inf
+```
+
+**Example 2 with Z/3Z coefficients**
+
+rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3
+
+outputs:
+```
+3 0 0 inf
+3 1 0.0983494 inf
+3 1 0.104347 inf
+3 2 0.138335 inf
+```
+
+
+
+
+## `rips_distance_matrix_persistence` ##
+Same as `rips_persistence` but taking a distance matrix as input.
+
+**Usage**
+`rips_persistence [options] <CSV input file>`
+where
+`<CSV input file>` is the path to the file containing a distance matrix. Can be square or lower triangular matrix. Separator is ';'.
+
+**Example**
+`rips_distance_matrix_persistence data/distance_matrix/full_square_distance_matrix.csv -r 15 -d 3 -p 3 -m 0`
+
+outputs:
+```
+The complex contains 46 simplices
+ and has dimension 3
+3 0 0 inf
+3 0 0 8.94427
+3 0 0 7.28011
+3 0 0 6.08276
+3 0 0 5.83095
+3 0 0 5.38516
+3 0 0 5
+3 1 11 12.0416
+3 1 6.32456 6.7082
+```
+
+
+
+
+## `rips_persistence` ##
+This program computes the persistent homology with coefficient field *Z/pZ*
+of a sparse (1+epsilon)-approximation of the Rips complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim birth death`
+
+where `dim` is the dimension of the homological feature, `birth` and `death` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+`sparse_rips_persistence [options] <OFF input file>`
+
+**Allowed options**
+
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-e [ --approximation ]` (default = .5) Epsilon, where the sparse Rips complex is a (1+epsilon)-approximation of the Rips complex.
+* `-d [ --cpx-dimension ]` (default = 1) Maximal dimension of the Rips complex we want to compute.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example with Z/2Z coefficients**
+`rips_persistence ../../data/points/tore3D_1307.off -e .5 -m .2 -d 3 -p 2`
+
+may output (there is randomness involved):
+```
+The complex contains 17002096 simplices
+ and has dimension 3
+2 0 0 inf
+2 1 0.104347 1.29343
+2 2 0.138335 0.577743
+2 1 0.0983494 0.529708
+```
diff --git a/src/Rips_complex/utilities/ripscomplex.md b/src/Rips_complex/utilities/ripscomplex.md
index 4291fae7..3bf10aee 100644
--- a/src/Rips_complex/utilities/ripscomplex.md
+++ b/src/Rips_complex/utilities/ripscomplex.md
@@ -35,7 +35,7 @@ Beware: this program may use a lot of RAM and take a lot of time if `max-edge-le
## rips_distance_matrix_persistence ##
-Same as `rips_persistence` but taking a distance matrix as input.
+Same as `rips_persistence` but taking a distance matrix as input.
**Usage**
@@ -47,3 +47,29 @@ where
**Example**
`rips_distance_matrix_persistence data/distance_matrix/full_square_distance_matrix.csv -r 15 -d 3 -p 3 -m 0`
+
+
+## sparse_rips_persistence ##
+This program computes the persistent homology with coefficient field *Z/pZ*
+of a sparse (1+epsilon)-approximation of the Rips complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim birth death`
+
+where `dim` is the dimension of the homological feature, `birth` and `death` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+
+`sparse_rips_persistence [options] <OFF input file>`
+
+**Allowed options**
+
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-e [ --approximation ]` (default = .5) Epsilon, where the sparse Rips complex is a (1+epsilon)-approximation of the Rips complex.
+* `-d [ --cpx-dimension ]` (default = 1) Maximal dimension of the Rips complex we want to compute.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example with Z/2Z coefficients**
+
+`rips_persistence ../../data/points/tore3D_1307.off -e .5 -m .2 -d 3 -p 2`
diff --git a/src/Rips_complex/utilities/sparse_rips_persistence.cpp b/src/Rips_complex/utilities/sparse_rips_persistence.cpp
new file mode 100644
index 00000000..12b3b099
--- /dev/null
+++ b/src/Rips_complex/utilities/sparse_rips_persistence.cpp
@@ -0,0 +1,145 @@
+/* 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): Marc Glisse, Clément Maria
+ *
+ * Copyright (C) 2014 INRIA
+ *
+ * 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 <http://www.gnu.org/licenses/>.
+ */
+
+#include <gudhi/Sparse_rips_complex.h>
+#include <gudhi/distance_functions.h>
+#include <gudhi/Simplex_tree.h>
+#include <gudhi/Persistent_cohomology.h>
+#include <gudhi/Points_off_io.h>
+
+#include <boost/program_options.hpp>
+
+#include <string>
+#include <vector>
+
+// Types definition
+using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>;
+using Filtration_value = Simplex_tree::Filtration_value;
+using Sparse_rips = Gudhi::rips_complex::Sparse_rips_complex<Filtration_value>;
+using Field_Zp = Gudhi::persistent_cohomology::Field_Zp;
+using Persistent_cohomology = Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Field_Zp >;
+using Point = std::vector<double>;
+using Points_off_reader = Gudhi::Points_off_reader<Point>;
+
+void program_options(int argc, char * argv[]
+ , std::string & off_file_points
+ , std::string & filediag
+ , double & epsilon
+ , int & dim_max
+ , int & p
+ , Filtration_value & min_persistence);
+
+int main(int argc, char * argv[]) {
+ std::string off_file_points;
+ std::string filediag;
+ double epsilon;
+ int dim_max;
+ int p;
+ Filtration_value min_persistence;
+
+ program_options(argc, argv, off_file_points, filediag, epsilon, dim_max, p, min_persistence);
+
+ Points_off_reader off_reader(off_file_points);
+ Sparse_rips sparse_rips(off_reader.get_point_cloud(), Gudhi::Euclidean_distance(), epsilon);
+
+ // Construct the Rips complex in a Simplex Tree
+ Simplex_tree simplex_tree;
+
+ sparse_rips.create_complex(simplex_tree, dim_max);
+ std::cout << "The complex contains " << simplex_tree.num_simplices() << " simplices \n";
+ std::cout << " and has dimension " << simplex_tree.dimension() << " \n";
+
+ // Sort the simplices in the order of the filtration
+ simplex_tree.initialize_filtration();
+
+ // Compute the persistence diagram of the complex
+ Persistent_cohomology pcoh(simplex_tree);
+ // initializes the coefficient field for homology
+ pcoh.init_coefficients(p);
+
+ pcoh.compute_persistent_cohomology(min_persistence);
+
+ // Output the diagram in filediag
+ if (filediag.empty()) {
+ pcoh.output_diagram();
+ } else {
+ std::ofstream out(filediag);
+ pcoh.output_diagram(out);
+ out.close();
+ }
+
+ return 0;
+}
+
+void program_options(int argc, char * argv[]
+ , std::string & off_file_points
+ , std::string & filediag
+ , double & epsilon
+ , int & dim_max
+ , int & p
+ , Filtration_value & min_persistence) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()
+ ("input-file", po::value<std::string>(&off_file_points),
+ "Name of an OFF file containing a point set.\n");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()
+ ("help,h", "produce help message")
+ ("output-file,o", po::value<std::string>(&filediag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")
+ ("approximation,e", po::value<double>(&epsilon)->default_value(.5),
+ "Epsilon, where the sparse Rips complex is a (1+epsilon)-approximation of the Rips complex.")
+ ("cpx-dimension,d", po::value<int>(&dim_max)->default_value(1),
+ "Maximal dimension of the Rips complex we want to compute.")
+ ("field-charac,p", po::value<int>(&p)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")
+ ("min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length intervals");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).
+ options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file")) {
+ std::cout << std::endl;
+ std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
+ std::cout << "of a sparse (1+epsilon)-approximation of the Rips complex \ndefined on a set of input points.\n \n";
+ std::cout << "The output diagram contains one bar per line, written with the convention: \n";
+ std::cout << " p dim b d \n";
+ std::cout << "where dim is the dimension of the homological feature,\n";
+ std::cout << "b and d are respectively the birth and death of the feature and \n";
+ std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}