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+/* 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): Pawel Dlotko
+ *
+ * Copyright (C) 2016 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#ifndef PERSISTENCE_LANDSCAPE_H_
+#define PERSISTENCE_LANDSCAPE_H_
+
+// gudhi include
+#include <gudhi/read_persistence_from_file.h>
+#include <gudhi/common_persistence_representations.h>
+
+// standard include
+#include <cmath>
+#include <iostream>
+#include <vector>
+#include <limits>
+#include <fstream>
+#include <sstream>
+#include <algorithm>
+#include <string>
+#include <utility>
+#include <functional>
+
+namespace Gudhi {
+namespace Persistence_representations {
+
+// pre declaration
+class Persistence_landscape;
+template <typename operation>
+Persistence_landscape operation_on_pair_of_landscapes(const Persistence_landscape& land1,
+ const Persistence_landscape& land2);
+
+/**
+ * \class Persistence_landscape Persistence_landscape.h gudhi/Persistence_landscape.h
+ * \brief A class implementing persistence landscapes data structures.
+ *
+ * \ingroup Persistence_representations
+ *
+ * \details
+ * For theoretical description, please consult <i>Statistical topological data analysis using persistence
+ * landscapes</i>\cite bubenik_landscapes_2015 , and for details of algorithms,
+ * <i>A persistence landscapes toolbox for topological statistics</i>\cite bubenik_dlotko_landscapes_2016.
+ *
+ * Persistence landscapes allow vectorization, computations of distances, computations of projections to Real,
+ * computations of averages and scalar products. Therefore they implement suitable interfaces.
+ * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances,
+ * Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product
+ *
+ * Note that at the moment, due to rounding errors during the construction of persistence landscapes, elements which
+ * are different by 0.000005 are considered the same. If the scale in your persistence diagrams is comparable to this
+ * value, please rescale them before use this code.
+ *
+**/
+class Persistence_landscape {
+ public:
+ /**
+ * Default constructor.
+ **/
+ Persistence_landscape() { this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); }
+
+ /**
+ * Constructor that takes as an input a vector of birth-death pairs.
+ **/
+ Persistence_landscape(const std::vector<std::pair<double, double> >& p,
+ size_t number_of_levels = std::numeric_limits<size_t>::max());
+
+ /**
+ * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the
+ *input file is the following: in each line we put birth-death pair. Last line is assumed
+ * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read.
+ **/
+ Persistence_landscape(const char* filename, size_t dimension = std::numeric_limits<unsigned>::max(),
+ size_t number_of_levels = std::numeric_limits<size_t>::max());
+
+ /**
+ * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape.
+ **/
+ void load_landscape_from_file(const char* filename);
+
+ /**
+ * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file.
+ **/
+ void print_to_file(const char* filename) const;
+
+ /**
+ * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape
+ *functions)
+ **/
+ double compute_integral_of_landscape() const;
+
+ /**
+ * This function compute integral of the 'level'-level of a landscape.
+ **/
+ double compute_integral_of_a_level_of_a_landscape(size_t level) const;
+
+ /**
+ * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals
+ *on R of p-th powers of all landscape functions)
+ **/
+ double compute_integral_of_landscape(double p) const; // this function compute integral of p-th power of landscape.
+
+ /**
+ * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned
+ *level and double x.
+ * The procedure will compute the value of the level-landscape at the point x.
+ **/
+ double compute_value_at_a_given_point(unsigned level, double x) const;
+
+ /**
+ * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity
+ *points of the landscapes follows.
+ * Shall those points be joined with lines, we will obtain the i-th landscape function.
+ **/
+ friend std::ostream& operator<<(std::ostream& out, Persistence_landscape& land);
+
+ template <typename operation>
+ friend Persistence_landscape operation_on_pair_of_landscapes(const Persistence_landscape& land1,
+ const Persistence_landscape& land2);
+
+ /**
+ *\private A function that compute sum of two landscapes.
+ **/
+ friend Persistence_landscape add_two_landscapes(const Persistence_landscape& land1,
+ const Persistence_landscape& land2) {
+ return operation_on_pair_of_landscapes<std::plus<double> >(land1, land2);
+ }
+
+ /**
+ *\private A function that compute difference of two landscapes.
+ **/
+ friend Persistence_landscape subtract_two_landscapes(const Persistence_landscape& land1,
+ const Persistence_landscape& land2) {
+ return operation_on_pair_of_landscapes<std::minus<double> >(land1, land2);
+ }
+
+ /**
+ * An operator +, that compute sum of two landscapes.
+ **/
+ friend Persistence_landscape operator+(const Persistence_landscape& first, const Persistence_landscape& second) {
+ return add_two_landscapes(first, second);
+ }
+
+ /**
+ * An operator -, that compute difference of two landscapes.
+ **/
+ friend Persistence_landscape operator-(const Persistence_landscape& first, const Persistence_landscape& second) {
+ return subtract_two_landscapes(first, second);
+ }
+
+ /**
+ * An operator * that allows multiplication of a landscape by a real number.
+ **/
+ friend Persistence_landscape operator*(const Persistence_landscape& first, double con) {
+ return first.multiply_lanscape_by_real_number_not_overwrite(con);
+ }
+
+ /**
+ * An operator * that allows multiplication of a landscape by a real number (order of parameters swapped).
+ **/
+ friend Persistence_landscape operator*(double con, const Persistence_landscape& first) {
+ return first.multiply_lanscape_by_real_number_not_overwrite(con);
+ }
+
+ /**
+ * Operator +=. The second parameter is persistence landscape.
+ **/
+ Persistence_landscape operator+=(const Persistence_landscape& rhs) {
+ *this = *this + rhs;
+ return *this;
+ }
+
+ /**
+ * Operator -=. The second parameter is a persistence landscape.
+ **/
+ Persistence_landscape operator-=(const Persistence_landscape& rhs) {
+ *this = *this - rhs;
+ return *this;
+ }
+
+ /**
+ * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied.
+ *The x-values remain unchanged.
+ **/
+ Persistence_landscape operator*=(double x) {
+ *this = *this * x;
+ return *this;
+ }
+
+ /**
+ * Operator /=. The second parameter is a real number.
+ **/
+ Persistence_landscape operator/=(double x) {
+ if (x == 0) throw("In operator /=, division by 0. Program terminated.");
+ *this = *this * (1 / x);
+ return *this;
+ }
+
+ /**
+ * An operator to compare two persistence landscapes.
+ **/
+ bool operator==(const Persistence_landscape& rhs) const;
+
+ /**
+ * An operator to compare two persistence landscapes.
+ **/
+ bool operator!=(const Persistence_landscape& rhs) const { return !((*this) == rhs); }
+
+ /**
+ * Computations of maximum (y) value of landscape.
+ **/
+ double compute_maximum() const {
+ double maxValue = 0;
+ if (this->land.size()) {
+ maxValue = -std::numeric_limits<int>::max();
+ for (size_t i = 0; i != this->land[0].size(); ++i) {
+ if (this->land[0][i].second > maxValue) maxValue = this->land[0][i].second;
+ }
+ }
+ return maxValue;
+ }
+
+ /**
+ *\private Computations of minimum (y) value of landscape.
+ **/
+ double compute_minimum() const {
+ double minValue = 0;
+ if (this->land.size()) {
+ minValue = std::numeric_limits<int>::max();
+ for (size_t i = 0; i != this->land[0].size(); ++i) {
+ if (this->land[0][i].second < minValue) minValue = this->land[0][i].second;
+ }
+ }
+ return minValue;
+ }
+
+ /**
+ *\private Computations of a \f$L^i\f$ norm of landscape, where i is the input parameter.
+ **/
+ double compute_norm_of_landscape(double i) {
+ Persistence_landscape l;
+ if (i < std::numeric_limits<double>::max()) {
+ return compute_distance_of_landscapes(*this, l, i);
+ } else {
+ return compute_max_norm_distance_of_landscapes(*this, l);
+ }
+ }
+
+ /**
+ * An operator to compute the value of a landscape in the level 'level' at the argument 'x'.
+ **/
+ double operator()(unsigned level, double x) const { return this->compute_value_at_a_given_point(level, x); }
+
+ /**
+ *\private Computations of \f$L^{\infty}\f$ distance between two landscapes.
+ **/
+ friend double compute_max_norm_distance_of_landscapes(const Persistence_landscape& first,
+ const Persistence_landscape& second);
+
+ /**
+ *\private Computations of \f$L^{p}\f$ distance between two landscapes. p is the parameter of the procedure.
+ **/
+ friend double compute_distance_of_landscapes(const Persistence_landscape& first, const Persistence_landscape& second,
+ double p);
+
+ /**
+ * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store
+ *general PL-function. When computing distance between two landscapes, we compute difference between
+ * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute
+ *distance, we need to take its absolute value. This is the purpose of this procedure.
+ **/
+ Persistence_landscape abs();
+
+ Persistence_landscape* new_abs();
+
+ /**
+ * Computes the number of landscape functions.
+ **/
+ size_t size() const { return this->land.size(); }
+
+ /**
+ * Compute maximal value of lambda-level landscape.
+ **/
+ double find_max(unsigned lambda) const;
+
+ /**
+ *\private Function to compute inner (scalar) product of two landscapes.
+ **/
+ friend double compute_inner_product(const Persistence_landscape& l1, const Persistence_landscape& l2);
+
+ // Implementations of functions for various concepts.
+
+ /**
+ * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an
+ *integral of i-th landscape function over whole R.
+ * This function is required by the Real_valued_topological_data concept.
+ * At the moment this function is not tested, since it is quite likely to be changed in the future. Given this, when
+ *using it, keep in mind that it
+ * will be most likely changed in the next versions.
+ **/
+ double project_to_R(int number_of_function) const {
+ return this->compute_integral_of_a_level_of_a_landscape((size_t)number_of_function);
+ }
+
+ /**
+ * The function gives the number of possible projections to R. This function is required by the
+ *Real_valued_topological_data concept.
+ **/
+ size_t number_of_projections_to_R() const { return this->number_of_functions_for_projections_to_reals; }
+
+ /**
+ * This function produce a vector of doubles based on a landscape. It is required in a concept
+ * Vectorized_topological_data
+ */
+ std::vector<double> vectorize(int number_of_function) const {
+ // TODO(PD) think of something smarter over here
+ std::vector<double> v;
+ if ((size_t)number_of_function > this->land.size()) {
+ return v;
+ }
+ v.reserve(this->land[number_of_function].size());
+ for (size_t i = 0; i != this->land[number_of_function].size(); ++i) {
+ v.push_back(this->land[number_of_function][i].second);
+ }
+ return v;
+ }
+ /**
+ * This function return the number of functions that allows vectorization of persistence landscape. It is required in
+ *a concept Vectorized_topological_data.
+ **/
+ size_t number_of_vectorize_functions() const { return this->number_of_functions_for_vectorization; }
+
+ /**
+ * A function to compute averaged persistence landscape, based on vector of persistence landscapes.
+ * This function is required by Topological_data_with_averages concept.
+ **/
+ void compute_average(const std::vector<Persistence_landscape*>& to_average) {
+ bool dbg = false;
+
+ if (dbg) {
+ std::cerr << "to_average.size() : " << to_average.size() << std::endl;
+ }
+
+ std::vector<Persistence_landscape*> nextLevelMerge(to_average.size());
+ for (size_t i = 0; i != to_average.size(); ++i) {
+ nextLevelMerge[i] = to_average[i];
+ }
+ bool is_this_first_level = true; // in the loop, we will create dynamically a number of intermediate complexes. We
+ // have to clean that up, but we cannot erase the initial landscapes we have
+ // to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in
+ // that loop by using this extra variable.
+
+ while (nextLevelMerge.size() != 1) {
+ if (dbg) {
+ std::cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << std::endl;
+ }
+ std::vector<Persistence_landscape*> nextNextLevelMerge;
+ nextNextLevelMerge.reserve(to_average.size());
+ for (size_t i = 0; i < nextLevelMerge.size(); i = i + 2) {
+ if (dbg) {
+ std::cerr << "i : " << i << std::endl;
+ }
+ Persistence_landscape* l = new Persistence_landscape;
+ if (i + 1 != nextLevelMerge.size()) {
+ (*l) = (*nextLevelMerge[i]) + (*nextLevelMerge[i + 1]);
+ } else {
+ (*l) = *nextLevelMerge[i];
+ }
+ nextNextLevelMerge.push_back(l);
+ }
+ if (dbg) {
+ std::cerr << "After this iteration \n";
+ getchar();
+ }
+
+ if (!is_this_first_level) {
+ // deallocate the memory if the vector nextLevelMerge do not consist of the initial landscapes
+ for (size_t i = 0; i != nextLevelMerge.size(); ++i) {
+ delete nextLevelMerge[i];
+ }
+ }
+ is_this_first_level = false;
+ nextLevelMerge.swap(nextNextLevelMerge);
+ }
+ (*this) = (*nextLevelMerge[0]);
+ (*this) *= 1 / static_cast<double>(to_average.size());
+ }
+
+ /**
+ * A function to compute distance between persistence landscape.
+ * The parameter of this function is a Persistence_landscape.
+ * This function is required in Topological_data_with_distances concept.
+ * For max norm distance, set power to std::numeric_limits<double>::max()
+ **/
+ double distance(const Persistence_landscape& second, double power = 1) const {
+ if (power < std::numeric_limits<double>::max()) {
+ return compute_distance_of_landscapes(*this, second, power);
+ } else {
+ return compute_max_norm_distance_of_landscapes(*this, second);
+ }
+ }
+
+ /**
+ * A function to compute scalar product of persistence landscapes.
+ * The parameter of this function is a Persistence_landscape.
+ * This function is required in Topological_data_with_scalar_product concept.
+ **/
+ double compute_scalar_product(const Persistence_landscape& second) const {
+ return compute_inner_product((*this), second);
+ }
+ // end of implementation of functions needed for concepts.
+
+ /**
+ * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range
+ * of 0th level landscape is given (and this range contains the ranges of all other landscapes).
+ **/
+ std::pair<double, double> get_y_range(size_t level = 0) const {
+ std::pair<double, double> result;
+ if (level < this->land.size()) {
+ double maxx = this->compute_maximum();
+ double minn = this->compute_minimum();
+ result = std::make_pair(minn, maxx);
+ } else {
+ result = std::make_pair(0, 0);
+ }
+ return result;
+ }
+
+ // a function used to create a gnuplot script for visualization of landscapes
+ void plot(const char* filename, double xRangeBegin = std::numeric_limits<double>::max(),
+ double xRangeEnd = std::numeric_limits<double>::max(),
+ double yRangeBegin = std::numeric_limits<double>::max(),
+ double yRangeEnd = std::numeric_limits<double>::max(), int from = std::numeric_limits<int>::max(),
+ int to = std::numeric_limits<int>::max());
+
+ protected:
+ std::vector<std::vector<std::pair<double, double> > > land;
+ size_t number_of_functions_for_vectorization;
+ size_t number_of_functions_for_projections_to_reals;
+
+ void construct_persistence_landscape_from_barcode(const std::vector<std::pair<double, double> >& p,
+ size_t number_of_levels = std::numeric_limits<size_t>::max());
+ Persistence_landscape multiply_lanscape_by_real_number_not_overwrite(double x) const;
+ void multiply_lanscape_by_real_number_overwrite(double x);
+ friend double compute_maximal_distance_non_symmetric(const Persistence_landscape& pl1,
+ const Persistence_landscape& pl2);
+
+ void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() {
+ // warning, this function can be only called after filling in the intervals vector.
+ this->number_of_functions_for_vectorization = this->land.size();
+ this->number_of_functions_for_projections_to_reals = this->land.size();
+ }
+};
+
+Persistence_landscape::Persistence_landscape(const char* filename, size_t dimension, size_t number_of_levels) {
+ std::vector<std::pair<double, double> > barcode;
+ if (dimension < std::numeric_limits<double>::max()) {
+ barcode = read_persistence_intervals_in_one_dimension_from_file(filename, dimension);
+ } else {
+ barcode = read_persistence_intervals_in_one_dimension_from_file(filename);
+ }
+ this->construct_persistence_landscape_from_barcode(barcode, number_of_levels);
+ this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals();
+}
+
+bool operatorEqualDbg = false;
+bool Persistence_landscape::operator==(const Persistence_landscape& rhs) const {
+ if (this->land.size() != rhs.land.size()) {
+ if (operatorEqualDbg) std::cerr << "1\n";
+ return false;
+ }
+ for (size_t level = 0; level != this->land.size(); ++level) {
+ if (this->land[level].size() != rhs.land[level].size()) {
+ if (operatorEqualDbg) std::cerr << "this->land[level].size() : " << this->land[level].size() << "\n";
+ if (operatorEqualDbg) std::cerr << "rhs.land[level].size() : " << rhs.land[level].size() << "\n";
+ if (operatorEqualDbg) std::cerr << "2\n";
+ return false;
+ }
+ for (size_t i = 0; i != this->land[level].size(); ++i) {
+ if (!(almost_equal(this->land[level][i].first, rhs.land[level][i].first) &&
+ almost_equal(this->land[level][i].second, rhs.land[level][i].second))) {
+ if (operatorEqualDbg)
+ std::cerr << "this->land[level][i] : " << this->land[level][i].first << " " << this->land[level][i].second
+ << "\n";
+ if (operatorEqualDbg)
+ std::cerr << "rhs.land[level][i] : " << rhs.land[level][i].first << " " << rhs.land[level][i].second << "\n";
+ if (operatorEqualDbg) std::cerr << "3\n";
+ return false;
+ }
+ }
+ }
+ return true;
+}
+
+Persistence_landscape::Persistence_landscape(const std::vector<std::pair<double, double> >& p,
+ size_t number_of_levels) {
+ this->construct_persistence_landscape_from_barcode(p, number_of_levels);
+ this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals();
+}
+
+void Persistence_landscape::construct_persistence_landscape_from_barcode(
+ const std::vector<std::pair<double, double> >& p, size_t number_of_levels) {
+ bool dbg = false;
+ if (dbg) {
+ std::cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )"
+ << std::endl;
+ }
+
+ // this is a general algorithm to construct persistence landscapes.
+ std::vector<std::pair<double, double> > bars;
+ bars.insert(bars.begin(), p.begin(), p.end());
+ std::sort(bars.begin(), bars.end(), compare_points_sorting);
+
+ if (dbg) {
+ std::cerr << "Bars : \n";
+ for (size_t i = 0; i != bars.size(); ++i) {
+ std::cerr << bars[i].first << " " << bars[i].second << "\n";
+ }
+ getchar();
+ }
+
+ std::vector<std::pair<double, double> > characteristicPoints(p.size());
+ for (size_t i = 0; i != bars.size(); ++i) {
+ characteristicPoints[i] =
+ std::make_pair((bars[i].first + bars[i].second) / 2.0, (bars[i].second - bars[i].first) / 2.0);
+ }
+ std::vector<std::vector<std::pair<double, double> > > Persistence_landscape;
+ size_t number_of_levels_in_the_landscape = 0;
+ while (!characteristicPoints.empty()) {
+ if (dbg) {
+ for (size_t i = 0; i != characteristicPoints.size(); ++i) {
+ std::cout << "(" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n";
+ }
+ std::cin.ignore();
+ }
+
+ std::vector<std::pair<double, double> > lambda_n;
+ lambda_n.push_back(std::make_pair(-std::numeric_limits<int>::max(), 0));
+ lambda_n.push_back(std::make_pair(minus_length(characteristicPoints[0]), 0));
+ lambda_n.push_back(characteristicPoints[0]);
+
+ if (dbg) {
+ std::cerr << "1 Adding to lambda_n : (" << -std::numeric_limits<int>::max() << " " << 0 << ") , ("
+ << minus_length(characteristicPoints[0]) << " " << 0 << ") , (" << characteristicPoints[0].first << " "
+ << characteristicPoints[0].second << ") \n";
+ }
+
+ size_t i = 1;
+ std::vector<std::pair<double, double> > newCharacteristicPoints;
+ while (i < characteristicPoints.size()) {
+ size_t p = 1;
+ if ((minus_length(characteristicPoints[i]) >= minus_length(lambda_n[lambda_n.size() - 1])) &&
+ (birth_plus_deaths(characteristicPoints[i]) > birth_plus_deaths(lambda_n[lambda_n.size() - 1]))) {
+ if (minus_length(characteristicPoints[i]) < birth_plus_deaths(lambda_n[lambda_n.size() - 1])) {
+ std::pair<double, double> point = std::make_pair(
+ (minus_length(characteristicPoints[i]) + birth_plus_deaths(lambda_n[lambda_n.size() - 1])) / 2,
+ (birth_plus_deaths(lambda_n[lambda_n.size() - 1]) - minus_length(characteristicPoints[i])) / 2);
+ lambda_n.push_back(point);
+ if (dbg) {
+ std::cerr << "2 Adding to lambda_n : (" << point.first << " " << point.second << ")\n";
+ }
+
+ if (dbg) {
+ std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i + p].first << " "
+ << characteristicPoints[i + p].second << "\n";
+ std::cerr << "point : " << point.first << " " << point.second << "\n";
+ getchar();
+ }
+
+ while ((i + p < characteristicPoints.size()) &&
+ (almost_equal(minus_length(point), minus_length(characteristicPoints[i + p]))) &&
+ (birth_plus_deaths(point) <= birth_plus_deaths(characteristicPoints[i + p]))) {
+ newCharacteristicPoints.push_back(characteristicPoints[i + p]);
+ if (dbg) {
+ std::cerr << "3.5 Adding to newCharacteristicPoints : (" << characteristicPoints[i + p].first << " "
+ << characteristicPoints[i + p].second << ")\n";
+ getchar();
+ }
+ ++p;
+ }
+
+ newCharacteristicPoints.push_back(point);
+ if (dbg) {
+ std::cerr << "4 Adding to newCharacteristicPoints : (" << point.first << " " << point.second << ")\n";
+ }
+
+ while ((i + p < characteristicPoints.size()) &&
+ (minus_length(point) <= minus_length(characteristicPoints[i + p])) &&
+ (birth_plus_deaths(point) >= birth_plus_deaths(characteristicPoints[i + p]))) {
+ newCharacteristicPoints.push_back(characteristicPoints[i + p]);
+ if (dbg) {
+ std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i + p].first << " "
+ << characteristicPoints[i + p].second << "\n";
+ std::cerr << "point : " << point.first << " " << point.second << "\n";
+ std::cerr << "characteristicPoints[i+p] birth and death : " << minus_length(characteristicPoints[i + p])
+ << " , " << birth_plus_deaths(characteristicPoints[i + p]) << "\n";
+ std::cerr << "point birth and death : " << minus_length(point) << " , " << birth_plus_deaths(point)
+ << "\n";
+
+ std::cerr << "3 Adding to newCharacteristicPoints : (" << characteristicPoints[i + p].first << " "
+ << characteristicPoints[i + p].second << ")\n";
+ getchar();
+ }
+ ++p;
+ }
+
+ } else {
+ lambda_n.push_back(std::make_pair(birth_plus_deaths(lambda_n[lambda_n.size() - 1]), 0));
+ lambda_n.push_back(std::make_pair(minus_length(characteristicPoints[i]), 0));
+ if (dbg) {
+ std::cerr << "5 Adding to lambda_n : (" << birth_plus_deaths(lambda_n[lambda_n.size() - 1]) << " " << 0
+ << ")\n";
+ std::cerr << "5 Adding to lambda_n : (" << minus_length(characteristicPoints[i]) << " " << 0 << ")\n";
+ }
+ }
+ lambda_n.push_back(characteristicPoints[i]);
+ if (dbg) {
+ std::cerr << "6 Adding to lambda_n : (" << characteristicPoints[i].first << " "
+ << characteristicPoints[i].second << ")\n";
+ }
+ } else {
+ newCharacteristicPoints.push_back(characteristicPoints[i]);
+ if (dbg) {
+ std::cerr << "7 Adding to newCharacteristicPoints : (" << characteristicPoints[i].first << " "
+ << characteristicPoints[i].second << ")\n";
+ }
+ }
+ i = i + p;
+ }
+ lambda_n.push_back(std::make_pair(birth_plus_deaths(lambda_n[lambda_n.size() - 1]), 0));
+ lambda_n.push_back(std::make_pair(std::numeric_limits<int>::max(), 0));
+
+ characteristicPoints = newCharacteristicPoints;
+
+ lambda_n.erase(std::unique(lambda_n.begin(), lambda_n.end()), lambda_n.end());
+ this->land.push_back(lambda_n);
+
+ ++number_of_levels_in_the_landscape;
+ if (number_of_levels == number_of_levels_in_the_landscape) {
+ break;
+ }
+ }
+}
+
+// this function find maximum of lambda_n
+double Persistence_landscape::find_max(unsigned lambda) const {
+ if (this->land.size() < lambda) return 0;
+ double maximum = -std::numeric_limits<int>::max();
+ for (size_t i = 0; i != this->land[lambda].size(); ++i) {
+ if (this->land[lambda][i].second > maximum) maximum = this->land[lambda][i].second;
+ }
+ return maximum;
+}
+
+double Persistence_landscape::compute_integral_of_landscape() const {
+ double result = 0;
+ for (size_t i = 0; i != this->land.size(); ++i) {
+ for (size_t nr = 2; nr != this->land[i].size() - 1; ++nr) {
+ // it suffices to compute every planar integral and then sum them up for each lambda_n
+ result += 0.5 * (this->land[i][nr].first - this->land[i][nr - 1].first) *
+ (this->land[i][nr].second + this->land[i][nr - 1].second);
+ }
+ }
+ return result;
+}
+
+double Persistence_landscape::compute_integral_of_a_level_of_a_landscape(size_t level) const {
+ double result = 0;
+ if (level >= this->land.size()) {
+ // this landscape function is constantly equal 0, so is the integral.
+ return result;
+ }
+ // also negative landscapes are assumed to be zero.
+ if (level < 0) return 0;
+
+ for (size_t nr = 2; nr != this->land[level].size() - 1; ++nr) {
+ // it suffices to compute every planar integral and then sum them up for each lambda_n
+ result += 0.5 * (this->land[level][nr].first - this->land[level][nr - 1].first) *
+ (this->land[level][nr].second + this->land[level][nr - 1].second);
+ }
+
+ return result;
+}
+
+double Persistence_landscape::compute_integral_of_landscape(double p) const {
+ bool dbg = false;
+ double result = 0;
+ for (size_t i = 0; i != this->land.size(); ++i) {
+ for (size_t nr = 2; nr != this->land[i].size() - 1; ++nr) {
+ if (dbg) std::cout << "nr : " << nr << "\n";
+ // In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a *
+ // (ax+b)^{p+1}/(p+1)
+ std::pair<double, double> coef = compute_parameters_of_a_line(this->land[i][nr], this->land[i][nr - 1]);
+ double a = coef.first;
+ double b = coef.second;
+
+ if (dbg)
+ std::cout << "(" << this->land[i][nr].first << "," << this->land[i][nr].second << ") , "
+ << this->land[i][nr - 1].first << "," << this->land[i][nr].second << ")" << std::endl;
+ if (this->land[i][nr].first == this->land[i][nr - 1].first) continue;
+ if (a != 0) {
+ result += 1 / (a * (p + 1)) *
+ (pow((a * this->land[i][nr].first + b), p + 1) - pow((a * this->land[i][nr - 1].first + b), p + 1));
+ } else {
+ result += (this->land[i][nr].first - this->land[i][nr - 1].first) * (pow(this->land[i][nr].second, p));
+ }
+ if (dbg) {
+ std::cout << "a : " << a << " , b : " << b << std::endl;
+ std::cout << "result : " << result << std::endl;
+ }
+ }
+ }
+ return result;
+}
+
+// this is O(log(n)) algorithm, where n is number of points in this->land.
+double Persistence_landscape::compute_value_at_a_given_point(unsigned level, double x) const {
+ bool compute_value_at_a_given_pointDbg = false;
+ // in such a case lambda_level = 0.
+ if (level >= this->land.size()) return 0;
+
+ // we know that the points in this->land[level] are ordered according to x coordinate. Therefore, we can find the
+ // point by using bisection:
+ unsigned coordBegin = 1;
+ unsigned coordEnd = this->land[level].size() - 2;
+
+ if (compute_value_at_a_given_pointDbg) {
+ std::cerr << "Here \n";
+ std::cerr << "x : " << x << "\n";
+ std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n";
+ std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n";
+ }
+
+ // in this case x is outside the support of the landscape, therefore the value of the landscape is 0.
+ if (x <= this->land[level][coordBegin].first) return 0;
+ if (x >= this->land[level][coordEnd].first) return 0;
+
+ if (compute_value_at_a_given_pointDbg) std::cerr << "Entering to the while loop \n";
+
+ while (coordBegin + 1 != coordEnd) {
+ if (compute_value_at_a_given_pointDbg) {
+ std::cerr << "coordBegin : " << coordBegin << "\n";
+ std::cerr << "coordEnd : " << coordEnd << "\n";
+ std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n";
+ std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n";
+ }
+
+ unsigned newCord = (unsigned)floor((coordEnd + coordBegin) / 2.0);
+
+ if (compute_value_at_a_given_pointDbg) {
+ std::cerr << "newCord : " << newCord << "\n";
+ std::cerr << "this->land[level][newCord].first : " << this->land[level][newCord].first << "\n";
+ std::cin.ignore();
+ }
+
+ if (this->land[level][newCord].first <= x) {
+ coordBegin = newCord;
+ if (this->land[level][newCord].first == x) return this->land[level][newCord].second;
+ } else {
+ coordEnd = newCord;
+ }
+ }
+
+ if (compute_value_at_a_given_pointDbg) {
+ std::cout << "x : " << x << " is between : " << this->land[level][coordBegin].first << " a "
+ << this->land[level][coordEnd].first << "\n";
+ std::cout << "the y coords are : " << this->land[level][coordBegin].second << " a "
+ << this->land[level][coordEnd].second << "\n";
+ std::cerr << "coordBegin : " << coordBegin << "\n";
+ std::cerr << "coordEnd : " << coordEnd << "\n";
+ std::cin.ignore();
+ }
+ return function_value(this->land[level][coordBegin], this->land[level][coordEnd], x);
+}
+
+std::ostream& operator<<(std::ostream& out, Persistence_landscape& land) {
+ for (size_t level = 0; level != land.land.size(); ++level) {
+ out << "Lambda_" << level << ":" << std::endl;
+ for (size_t i = 0; i != land.land[level].size(); ++i) {
+ if (land.land[level][i].first == -std::numeric_limits<int>::max()) {
+ out << "-inf";
+ } else {
+ if (land.land[level][i].first == std::numeric_limits<int>::max()) {
+ out << "+inf";
+ } else {
+ out << land.land[level][i].first;
+ }
+ }
+ out << " , " << land.land[level][i].second << std::endl;
+ }
+ }
+ return out;
+}
+
+void Persistence_landscape::multiply_lanscape_by_real_number_overwrite(double x) {
+ for (size_t dim = 0; dim != this->land.size(); ++dim) {
+ for (size_t i = 0; i != this->land[dim].size(); ++i) {
+ this->land[dim][i].second *= x;
+ }
+ }
+}
+
+bool AbsDbg = false;
+Persistence_landscape Persistence_landscape::abs() {
+ Persistence_landscape result;
+ for (size_t level = 0; level != this->land.size(); ++level) {
+ if (AbsDbg) {
+ std::cout << "level: " << level << std::endl;
+ }
+ std::vector<std::pair<double, double> > lambda_n;
+ lambda_n.push_back(std::make_pair(-std::numeric_limits<int>::max(), 0));
+ for (size_t i = 1; i != this->land[level].size(); ++i) {
+ if (AbsDbg) {
+ std::cout << "this->land[" << level << "][" << i << "] : " << this->land[level][i].first << " "
+ << this->land[level][i].second << std::endl;
+ }
+ // if a line segment between this->land[level][i-1] and this->land[level][i] crosses the x-axis, then we have to
+ // add one landscape point t o result
+ if ((this->land[level][i - 1].second) * (this->land[level][i].second) < 0) {
+ double zero =
+ find_zero_of_a_line_segment_between_those_two_points(this->land[level][i - 1], this->land[level][i]);
+
+ lambda_n.push_back(std::make_pair(zero, 0));
+ lambda_n.push_back(std::make_pair(this->land[level][i].first, fabs(this->land[level][i].second)));
+ if (AbsDbg) {
+ std::cout << "Adding pair : (" << zero << ",0)" << std::endl;
+ std::cout << "In the same step adding pair : (" << this->land[level][i].first << ","
+ << fabs(this->land[level][i].second) << ") " << std::endl;
+ std::cin.ignore();
+ }
+ } else {
+ lambda_n.push_back(std::make_pair(this->land[level][i].first, fabs(this->land[level][i].second)));
+ if (AbsDbg) {
+ std::cout << "Adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second)
+ << ") " << std::endl;
+ std::cin.ignore();
+ }
+ }
+ }
+ result.land.push_back(lambda_n);
+ }
+ return result;
+}
+
+Persistence_landscape* Persistence_landscape::new_abs() {
+ Persistence_landscape* result = new Persistence_landscape(*this);
+ for (size_t level = 0; level != this->land.size(); ++level) {
+ if (AbsDbg) {
+ std::cout << "level: " << level << std::endl;
+ }
+ std::vector<std::pair<double, double> > lambda_n;
+ lambda_n.push_back(std::make_pair(-std::numeric_limits<int>::max(), 0));
+ for (size_t i = 1; i != this->land[level].size(); ++i) {
+ if (AbsDbg) {
+ std::cout << "this->land[" << level << "][" << i << "] : " << this->land[level][i].first << " "
+ << this->land[level][i].second << std::endl;
+ }
+ // if a line segment between this->land[level][i-1] and this->land[level][i] crosses the x-axis, then we have to
+ // add one landscape point t o result
+ if ((this->land[level][i - 1].second) * (this->land[level][i].second) < 0) {
+ double zero =
+ find_zero_of_a_line_segment_between_those_two_points(this->land[level][i - 1], this->land[level][i]);
+
+ lambda_n.push_back(std::make_pair(zero, 0));
+ lambda_n.push_back(std::make_pair(this->land[level][i].first, fabs(this->land[level][i].second)));
+ if (AbsDbg) {
+ std::cout << "Adding pair : (" << zero << ",0)" << std::endl;
+ std::cout << "In the same step adding pair : (" << this->land[level][i].first << ","
+ << fabs(this->land[level][i].second) << ") " << std::endl;
+ std::cin.ignore();
+ }
+ } else {
+ lambda_n.push_back(std::make_pair(this->land[level][i].first, fabs(this->land[level][i].second)));
+ if (AbsDbg) {
+ std::cout << "Adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second)
+ << ") " << std::endl;
+ std::cin.ignore();
+ }
+ }
+ }
+ result->land.push_back(lambda_n);
+ }
+ return result;
+}
+
+Persistence_landscape Persistence_landscape::multiply_lanscape_by_real_number_not_overwrite(double x) const {
+ std::vector<std::vector<std::pair<double, double> > > result(this->land.size());
+ for (size_t dim = 0; dim != this->land.size(); ++dim) {
+ std::vector<std::pair<double, double> > lambda_dim(this->land[dim].size());
+ for (size_t i = 0; i != this->land[dim].size(); ++i) {
+ lambda_dim[i] = std::make_pair(this->land[dim][i].first, x * this->land[dim][i].second);
+ }
+ result[dim] = lambda_dim;
+ }
+ Persistence_landscape res;
+ // CHANGE
+ // res.land = result;
+ res.land.swap(result);
+ return res;
+} // multiply_lanscape_by_real_number_overwrite
+
+void Persistence_landscape::print_to_file(const char* filename) const {
+ std::ofstream write;
+ write.open(filename);
+ for (size_t dim = 0; dim != this->land.size(); ++dim) {
+ write << "#lambda_" << dim << std::endl;
+ for (size_t i = 1; i != this->land[dim].size() - 1; ++i) {
+ write << this->land[dim][i].first << " " << this->land[dim][i].second << std::endl;
+ }
+ }
+ write.close();
+}
+
+void Persistence_landscape::load_landscape_from_file(const char* filename) {
+ bool dbg = false;
+ // removing the current content of the persistence landscape.
+ this->land.clear();
+
+ // this constructor reads persistence landscape form a file. This file have to be created by this software before head
+ std::ifstream in;
+ in.open(filename);
+ if (!in.good()) {
+ std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n";
+ throw "The persistence landscape file do not exist. The program will now terminate \n";
+ }
+
+ std::string line;
+ std::vector<std::pair<double, double> > landscapeAtThisLevel;
+
+ bool isThisAFirsLine = true;
+ while (in.good()) {
+ getline(in, line);
+ if (!(line.length() == 0 || line[0] == '#')) {
+ std::stringstream lineSS;
+ lineSS << line;
+ double beginn, endd;
+ lineSS >> beginn;
+ lineSS >> endd;
+ landscapeAtThisLevel.push_back(std::make_pair(beginn, endd));
+ if (dbg) {
+ std::cerr << "Reading a point : " << beginn << " , " << endd << std::endl;
+ }
+ } else {
+ if (dbg) {
+ std::cout << "IGNORE LINE\n";
+ getchar();
+ }
+ if (!isThisAFirsLine) {
+ landscapeAtThisLevel.push_back(std::make_pair(std::numeric_limits<int>::max(), 0));
+ this->land.push_back(landscapeAtThisLevel);
+ std::vector<std::pair<double, double> > newLevelOdLandscape;
+ landscapeAtThisLevel.swap(newLevelOdLandscape);
+ }
+ landscapeAtThisLevel.push_back(std::make_pair(-std::numeric_limits<int>::max(), 0));
+ isThisAFirsLine = false;
+ }
+ }
+ if (landscapeAtThisLevel.size() > 1) {
+ // seems that the last line of the file is not finished with the newline sign. We need to put what we have in
+ // landscapeAtThisLevel to the constructed landscape.
+ landscapeAtThisLevel.push_back(std::make_pair(std::numeric_limits<int>::max(), 0));
+ this->land.push_back(landscapeAtThisLevel);
+ }
+
+ in.close();
+}
+
+template <typename T>
+Persistence_landscape operation_on_pair_of_landscapes(const Persistence_landscape& land1,
+ const Persistence_landscape& land2) {
+ bool operation_on_pair_of_landscapesDBG = false;
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "operation_on_pair_of_landscapes\n";
+ std::cin.ignore();
+ }
+ Persistence_landscape result;
+ std::vector<std::vector<std::pair<double, double> > > land(std::max(land1.land.size(), land2.land.size()));
+ result.land = land;
+ T oper;
+
+ if (operation_on_pair_of_landscapesDBG) {
+ for (size_t i = 0; i != std::min(land1.land.size(), land2.land.size()); ++i) {
+ std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl;
+ std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl;
+ }
+ getchar();
+ }
+
+ for (size_t i = 0; i != std::min(land1.land.size(), land2.land.size()); ++i) {
+ std::vector<std::pair<double, double> > lambda_n;
+ size_t p = 0;
+ size_t q = 0;
+ while ((p + 1 < land1.land[i].size()) && (q + 1 < land2.land[i].size())) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cerr << "p : " << p << "\n";
+ std::cerr << "q : " << q << "\n";
+ std::cerr << "land1.land.size() : " << land1.land.size() << std::endl;
+ std::cerr << "land2.land.size() : " << land2.land.size() << std::endl;
+ std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl;
+ std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl;
+ std::cout << "land1.land[i][p].first : " << land1.land[i][p].first << "\n";
+ std::cout << "land2.land[i][q].first : " << land2.land[i][q].first << "\n";
+ }
+
+ if (land1.land[i][p].first < land2.land[i][q].first) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "first \n";
+ std::cout << " function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) : "
+ << function_value(land2.land[i][q - 1], land2.land[i][q], land1.land[i][p].first) << "\n";
+ }
+ lambda_n.push_back(
+ std::make_pair(land1.land[i][p].first,
+ oper(static_cast<double>(land1.land[i][p].second),
+ function_value(land2.land[i][q - 1], land2.land[i][q], land1.land[i][p].first))));
+ ++p;
+ continue;
+ }
+ if (land1.land[i][p].first > land2.land[i][q].first) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "Second \n";
+ std::cout << "function_value(" << land1.land[i][p - 1].first << " " << land1.land[i][p - 1].second << " ,"
+ << land1.land[i][p].first << " " << land1.land[i][p].second << ", " << land2.land[i][q].first
+ << " ) : " << function_value(land1.land[i][p - 1], land1.land[i][p - 1], land2.land[i][q].first)
+ << "\n";
+ std::cout << "oper( " << function_value(land1.land[i][p], land1.land[i][p - 1], land2.land[i][q].first) << ","
+ << land2.land[i][q].second << " : "
+ << oper(land2.land[i][q].second,
+ function_value(land1.land[i][p], land1.land[i][p - 1], land2.land[i][q].first))
+ << "\n";
+ }
+ lambda_n.push_back(std::make_pair(
+ land2.land[i][q].first, oper(function_value(land1.land[i][p], land1.land[i][p - 1], land2.land[i][q].first),
+ land2.land[i][q].second)));
+ ++q;
+ continue;
+ }
+ if (land1.land[i][p].first == land2.land[i][q].first) {
+ if (operation_on_pair_of_landscapesDBG) std::cout << "Third \n";
+ lambda_n.push_back(
+ std::make_pair(land2.land[i][q].first, oper(land1.land[i][p].second, land2.land[i][q].second)));
+ ++p;
+ ++q;
+ }
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "Next iteration \n";
+ }
+ }
+ while ((p + 1 < land1.land[i].size()) && (q + 1 >= land2.land[i].size())) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "New point : " << land1.land[i][p].first
+ << " oper(land1.land[i][p].second,0) : " << oper(land1.land[i][p].second, 0) << std::endl;
+ }
+ lambda_n.push_back(std::make_pair(land1.land[i][p].first, oper(land1.land[i][p].second, 0)));
+ ++p;
+ }
+ while ((p + 1 >= land1.land[i].size()) && (q + 1 < land2.land[i].size())) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "New point : " << land2.land[i][q].first
+ << " oper(0,land2.land[i][q].second) : " << oper(0, land2.land[i][q].second) << std::endl;
+ }
+ lambda_n.push_back(std::make_pair(land2.land[i][q].first, oper(0, land2.land[i][q].second)));
+ ++q;
+ }
+ lambda_n.push_back(std::make_pair(std::numeric_limits<int>::max(), 0));
+ // CHANGE
+ // result.land[i] = lambda_n;
+ result.land[i].swap(lambda_n);
+ }
+ if (land1.land.size() > std::min(land1.land.size(), land2.land.size())) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "land1.land.size() > std::min( land1.land.size() , land2.land.size() )" << std::endl;
+ }
+ for (size_t i = std::min(land1.land.size(), land2.land.size()); i != std::max(land1.land.size(), land2.land.size());
+ ++i) {
+ std::vector<std::pair<double, double> > lambda_n(land1.land[i]);
+ for (size_t nr = 0; nr != land1.land[i].size(); ++nr) {
+ lambda_n[nr] = std::make_pair(land1.land[i][nr].first, oper(land1.land[i][nr].second, 0));
+ }
+ // CHANGE
+ // result.land[i] = lambda_n;
+ result.land[i].swap(lambda_n);
+ }
+ }
+ if (land2.land.size() > std::min(land1.land.size(), land2.land.size())) {
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "( land2.land.size() > std::min( land1.land.size() , land2.land.size() ) ) " << std::endl;
+ }
+ for (size_t i = std::min(land1.land.size(), land2.land.size()); i != std::max(land1.land.size(), land2.land.size());
+ ++i) {
+ std::vector<std::pair<double, double> > lambda_n(land2.land[i]);
+ for (size_t nr = 0; nr != land2.land[i].size(); ++nr) {
+ lambda_n[nr] = std::make_pair(land2.land[i][nr].first, oper(0, land2.land[i][nr].second));
+ }
+ // CHANGE
+ // result.land[i] = lambda_n;
+ result.land[i].swap(lambda_n);
+ }
+ }
+ if (operation_on_pair_of_landscapesDBG) {
+ std::cout << "operation_on_pair_of_landscapes END\n";
+ std::cin.ignore();
+ }
+ return result;
+} // operation_on_pair_of_landscapes
+
+double compute_maximal_distance_non_symmetric(const Persistence_landscape& pl1, const Persistence_landscape& pl2) {
+ bool dbg = false;
+ if (dbg) std::cerr << " compute_maximal_distance_non_symmetric \n";
+ // this distance is not symmetric. It compute ONLY distance between inflection points of pl1 and pl2.
+ double maxDist = 0;
+ size_t minimalNumberOfLevels = std::min(pl1.land.size(), pl2.land.size());
+ for (size_t level = 0; level != minimalNumberOfLevels; ++level) {
+ if (dbg) {
+ std::cerr << "Level : " << level << std::endl;
+ std::cerr << "PL1 : \n";
+ for (size_t i = 0; i != pl1.land[level].size(); ++i) {
+ std::cerr << "(" << pl1.land[level][i].first << "," << pl1.land[level][i].second << ") \n";
+ }
+ std::cerr << "PL2 : \n";
+ for (size_t i = 0; i != pl2.land[level].size(); ++i) {
+ std::cerr << "(" << pl2.land[level][i].first << "," << pl2.land[level][i].second << ") \n";
+ }
+ std::cin.ignore();
+ }
+
+ int p2Count = 0;
+ // In this case, I consider points at the infinity
+ for (size_t i = 1; i != pl1.land[level].size() - 1; ++i) {
+ while (true) {
+ if ((pl1.land[level][i].first >= pl2.land[level][p2Count].first) &&
+ (pl1.land[level][i].first <= pl2.land[level][p2Count + 1].first))
+ break;
+ p2Count++;
+ }
+ double val =
+ fabs(function_value(pl2.land[level][p2Count], pl2.land[level][p2Count + 1], pl1.land[level][i].first) -
+ pl1.land[level][i].second);
+ if (maxDist <= val) maxDist = val;
+
+ if (dbg) {
+ std::cerr << pl1.land[level][i].first << "in [" << pl2.land[level][p2Count].first << ","
+ << pl2.land[level][p2Count + 1].first << "] \n";
+ std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl;
+ std::cerr << "function_value( pl2[level][p2Count] , pl2[level][p2Count+1] , pl1[level][i].first ) : "
+ << function_value(pl2.land[level][p2Count], pl2.land[level][p2Count + 1], pl1.land[level][i].first)
+ << std::endl;
+ std::cerr << "val : " << val << std::endl;
+ std::cin.ignore();
+ }
+ }
+ }
+
+ if (dbg) std::cerr << "minimalNumberOfLevels : " << minimalNumberOfLevels << std::endl;
+
+ if (minimalNumberOfLevels < pl1.land.size()) {
+ for (size_t level = minimalNumberOfLevels; level != pl1.land.size(); ++level) {
+ for (size_t i = 0; i != pl1.land[level].size(); ++i) {
+ if (dbg) std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl;
+ if (maxDist < pl1.land[level][i].second) maxDist = pl1.land[level][i].second;
+ }
+ }
+ }
+ return maxDist;
+}
+
+double compute_distance_of_landscapes(const Persistence_landscape& first, const Persistence_landscape& second,
+ double p) {
+ bool dbg = false;
+ // This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a
+ // time:
+
+ // first-second :
+ Persistence_landscape lan = first - second;
+
+ //| first-second |:
+ lan = lan.abs();
+
+ if (dbg) {
+ std::cerr << "Abs of difference ; " << lan << std::endl;
+ getchar();
+ }
+
+ if (p < std::numeric_limits<double>::max()) {
+ // \int_{- \infty}^{+\infty}| first-second |^p
+ double result;
+ if (p != 1) {
+ if (dbg) std::cerr << "Power != 1, compute integral to the power p\n";
+ result = lan.compute_integral_of_landscape(p);
+ } else {
+ if (dbg) std::cerr << "Power = 1, compute integral \n";
+ result = lan.compute_integral_of_landscape();
+ }
+ // (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p)
+ return pow(result, 1.0 / p);
+ } else {
+ // p == infty
+ if (dbg) std::cerr << "Power = infty, compute maximum \n";
+ return lan.compute_maximum();
+ }
+}
+
+double compute_max_norm_distance_of_landscapes(const Persistence_landscape& first,
+ const Persistence_landscape& second) {
+ return std::max(compute_maximal_distance_non_symmetric(first, second),
+ compute_maximal_distance_non_symmetric(second, first));
+}
+
+bool comparePairsForMerging(std::pair<double, unsigned> first, std::pair<double, unsigned> second) {
+ return (first.first < second.first);
+}
+
+double compute_inner_product(const Persistence_landscape& l1, const Persistence_landscape& l2) {
+ bool dbg = false;
+ double result = 0;
+
+ for (size_t level = 0; level != std::min(l1.size(), l2.size()); ++level) {
+ if (dbg) {
+ std::cerr << "Computing inner product for a level : " << level << std::endl;
+ getchar();
+ }
+ auto&& l1_land_level = l1.land[level];
+ auto&& l2_land_level = l2.land[level];
+
+ if (l1_land_level.size() * l2_land_level.size() == 0) continue;
+
+ // endpoints of the interval on which we will compute the inner product of two locally linear functions:
+ double x1 = -std::numeric_limits<int>::max();
+ double x2;
+ if (l1_land_level[1].first < l2_land_level[1].first) {
+ x2 = l1_land_level[1].first;
+ } else {
+ x2 = l2_land_level[1].first;
+ }
+
+ // iterators for the landscapes l1 and l2
+ size_t l1It = 0;
+ size_t l2It = 0;
+
+ while ((l1It < l1_land_level.size() - 1) && (l2It < l2_land_level.size() - 1)) {
+ // compute the value of a inner product on a interval [x1,x2]
+
+ double a, b, c, d;
+
+ if (l1_land_level[l1It + 1].first != l1_land_level[l1It].first) {
+ a = (l1_land_level[l1It + 1].second - l1_land_level[l1It].second) /
+ (l1_land_level[l1It + 1].first - l1_land_level[l1It].first);
+ } else {
+ a = 0;
+ }
+ b = l1_land_level[l1It].second - a * l1_land_level[l1It].first;
+ if (l2_land_level[l2It + 1].first != l2_land_level[l2It].first) {
+ c = (l2_land_level[l2It + 1].second - l2_land_level[l2It].second) /
+ (l2_land_level[l2It + 1].first - l2_land_level[l2It].first);
+ } else {
+ c = 0;
+ }
+ d = l2_land_level[l2It].second - c * l2_land_level[l2It].first;
+
+ double contributionFromThisPart = (a * c * x2 * x2 * x2 / 3 + (a * d + b * c) * x2 * x2 / 2 + b * d * x2) -
+ (a * c * x1 * x1 * x1 / 3 + (a * d + b * c) * x1 * x1 / 2 + b * d * x1);
+
+ result += contributionFromThisPart;
+
+ if (dbg) {
+ std::cerr << "[l1_land_level[l1It].first,l1_land_level[l1It+1].first] : " << l1_land_level[l1It].first
+ << " , " << l1_land_level[l1It + 1].first << std::endl;
+ std::cerr << "[l2_land_level[l2It].first,l2_land_level[l2It+1].first] : " << l2_land_level[l2It].first
+ << " , " << l2_land_level[l2It + 1].first << std::endl;
+ std::cerr << "a : " << a << ", b : " << b << " , c: " << c << ", d : " << d << std::endl;
+ std::cerr << "x1 : " << x1 << " , x2 : " << x2 << std::endl;
+ std::cerr << "contributionFromThisPart : " << contributionFromThisPart << std::endl;
+ std::cerr << "result : " << result << std::endl;
+ getchar();
+ }
+
+ // we have two intervals in which functions are constant:
+ // [l1_land_level[l1It].first , l1_land_level[l1It+1].first]
+ // and
+ // [l2_land_level[l2It].first , l2_land_level[l2It+1].first]
+ // We also have an interval [x1,x2]. Since the intervals in the landscapes cover the whole R, then it is clear
+ // that x2
+ // is either l1_land_level[l1It+1].first of l2_land_level[l2It+1].first or both. Lets test it.
+ if (x2 == l1_land_level[l1It + 1].first) {
+ if (x2 == l2_land_level[l2It + 1].first) {
+ // in this case, we increment both:
+ ++l2It;
+ if (dbg) {
+ std::cerr << "Incrementing both \n";
+ }
+ } else {
+ if (dbg) {
+ std::cerr << "Incrementing first \n";
+ }
+ }
+ ++l1It;
+ } else {
+ // in this case we increment l2It
+ ++l2It;
+ if (dbg) {
+ std::cerr << "Incrementing second \n";
+ }
+ }
+
+ if ( l1It + 1 >= l1_land_level.size() )break;
+ if ( l2It + 1 >= l2_land_level.size() )break;
+
+ // Now, we shift x1 and x2:
+ x1 = x2;
+ if (l1_land_level[l1It + 1].first < l2_land_level[l2It + 1].first) {
+ x2 = l1_land_level[l1It + 1].first;
+ } else {
+ x2 = l2_land_level[l2It + 1].first;
+ }
+ }
+ }
+ return result;
+}
+
+void Persistence_landscape::plot(const char* filename, double xRangeBegin, double xRangeEnd, double yRangeBegin,
+ double yRangeEnd, int from, int to) {
+ // this program create a gnuplot script file that allows to plot persistence diagram.
+ std::ofstream out;
+
+ std::ostringstream gnuplot_script;
+ gnuplot_script << filename << "_GnuplotScript";
+ out.open(gnuplot_script.str().c_str());
+
+ if ((xRangeBegin != std::numeric_limits<double>::max()) || (xRangeEnd != std::numeric_limits<double>::max()) ||
+ (yRangeBegin != std::numeric_limits<double>::max()) || (yRangeEnd != std::numeric_limits<double>::max())) {
+ out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl;
+ out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl;
+ }
+
+ if (from == std::numeric_limits<int>::max()) {
+ from = 0;
+ }
+ if (to == std::numeric_limits<int>::max()) {
+ to = this->land.size();
+ }
+
+ out << "plot ";
+ for (size_t lambda = std::min((size_t)from, this->land.size()); lambda != std::min((size_t)to, this->land.size());
+ ++lambda) {
+ // out << " '-' using 1:2 title 'l" << lambda << "' with lp";
+ out << " '-' using 1:2 notitle with lp";
+ if (lambda + 1 != std::min((size_t)to, this->land.size())) {
+ out << ", \\";
+ }
+ out << std::endl;
+ }
+
+ for (size_t lambda = std::min((size_t)from, this->land.size()); lambda != std::min((size_t)to, this->land.size());
+ ++lambda) {
+ for (size_t i = 1; i != this->land[lambda].size() - 1; ++i) {
+ out << this->land[lambda][i].first << " " << this->land[lambda][i].second << std::endl;
+ }
+ out << "EOF" << std::endl;
+ }
+ std::cout << "To visualize, install gnuplot and type the command: gnuplot -persist -e \"load \'"
+ << gnuplot_script.str().c_str() << "\'\"" << std::endl;
+}
+
+} // namespace Persistence_representations
+} // namespace Gudhi
+
+#endif // PERSISTENCE_LANDSCAPE_H_