diff options
Diffstat (limited to 'src/Witness_complex/example/protected_sets/protected_sets_paper2.h')
| -rw-r--r-- | src/Witness_complex/example/protected_sets/protected_sets_paper2.h | 1384 |
1 files changed, 1384 insertions, 0 deletions
diff --git a/src/Witness_complex/example/protected_sets/protected_sets_paper2.h b/src/Witness_complex/example/protected_sets/protected_sets_paper2.h new file mode 100644 index 00000000..04b5e3bc --- /dev/null +++ b/src/Witness_complex/example/protected_sets/protected_sets_paper2.h @@ -0,0 +1,1384 @@ +#ifndef PROTECTED_SETS_H +#define PROTECTED_SETS_H + +#include <algorithm> +#include <CGAL/Cartesian_d.h> +#include <CGAL/Epick_d.h> +#include <CGAL/Euclidean_distance.h> +#include <CGAL/Kernel_d/Sphere_d.h> +#include <CGAL/Kernel_d/Hyperplane_d.h> +#include <CGAL/Kernel_d/Vector_d.h> + +#include <CGAL/Orthogonal_k_neighbor_search.h> +#include <CGAL/Kd_tree.h> +#include <CGAL/Fuzzy_sphere.h> + +#include <boost/heap/fibonacci_heap.hpp> +#include <boost/heap/policies.hpp> + +#include "output_tikz.h" +#include "../output.h" +#include "../generators.h" + +#include <CGAL/point_generators_d.h> + + +typedef CGAL::Epick_d<CGAL::Dynamic_dimension_tag> K; +typedef K::Point_d Point_d; +typedef K::Line_d Line_d; +typedef K::Vector_d Vector_d; +typedef K::Oriented_side_d Oriented_side_d; +typedef K::Has_on_positive_side_d Has_on_positive_side_d; +typedef K::Sphere_d Sphere_d; +typedef K::Hyperplane_d Hyperplane_d; + +typedef CGAL::Delaunay_triangulation<K> Delaunay_triangulation; +typedef Delaunay_triangulation::Facet Facet; +typedef Delaunay_triangulation::Vertex_handle Delaunay_vertex; +typedef Delaunay_triangulation::Full_cell_handle Full_cell_handle; + +typedef std::vector<Point_d> Point_Vector; +typedef CGAL::Euclidean_distance<Traits_base> Euclidean_distance; + +typedef CGAL::Search_traits_adapter< + std::ptrdiff_t, Point_d*, Traits_base> STraits; +//typedef K TreeTraits; +//typedef CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance > Euclidean_adapter; +//typedef CGAL::Kd_tree<STraits> Kd_tree; +typedef CGAL::Orthogonal_k_neighbor_search<STraits, CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance>> K_neighbor_search; +typedef K_neighbor_search::Tree Tree; +typedef K_neighbor_search::Distance Distance; +typedef K_neighbor_search::iterator KNS_iterator; +typedef K_neighbor_search::iterator KNS_range; +typedef CGAL::Fuzzy_sphere<STraits> Fuzzy_sphere; + +typedef CGAL::Random_points_in_ball_d<Point_d> Random_point_iterator; + + +FT _sfty = pow(10,-14); + +bool experiment1, experiment2, experiment3, experiment5 = false; + +/* Experiment 1: epsilon as function on time **********************/ +std::vector<FT> eps_vector; + +/* Experiment 2: R/epsilon on alpha *******************************/ +std::vector<FT> epsratio_vector; +std::vector<FT> epsslope_vector; + +/* Experiment 3: theta on delta ***********************************/ +std::vector<FT> thetamin_vector; FT curr_theta; +std::vector<FT> gammamin_vector; + +/* Statistical data ***********************************************/ +int refused_case1, refused_case2, refused_bad, refused_centers1, refused_centers2; + +void initialize_statistics() +{ + refused_case1 = 0; + refused_case2 = 0; + refused_bad = 0; + refused_centers1 = 0; + refused_centers2 = 0; +} + +void print_statistics() +{ + std::cout << " * Old simplex not protected: " << refused_case1 << "\n"; + std::cout << " * New simplex not protected: " << refused_case2 << "\n"; + std::cout << " * New simplex not good: " << refused_bad << "\n"; + std::cout << " * New-old centers too close: " << refused_centers1 << "\n"; + std::cout << " * New-new centers too close: " << refused_centers2 << "\n"; +} + +/////////////////////////////////////////////////////////////////////////////////////////////////////////// +// AUXILLARY FUNCTIONS +/////////////////////////////////////////////////////////////////////////////////////////////////////////// + +/** Insert a point in Delaunay triangulation. If you are working in a flat torus, the procedure adds all the 3^d copies in adjacent cubes as well + * + * W is the initial point vector + * chosen_landmark is the index of the chosen point in W + * landmarks_ind is the vector of indices of already chosen points in W + * delaunay is the Delaunay triangulation + * landmark_count is the current number of chosen vertices + * torus is true iff you are working on a flat torus [-1,1]^d + * OUT: Vertex handle to the newly inserted point + */ +Delaunay_vertex insert_delaunay_landmark_with_copies(Point_Vector& W, int chosen_landmark, std::vector<int>& landmarks_ind, Delaunay_triangulation& delaunay, int& landmark_count, bool torus) +{ + if (!torus) + { + Delaunay_vertex v =delaunay.insert(W[chosen_landmark]); + landmarks_ind.push_back(chosen_landmark); + landmark_count++; + return v; + } + else + { + int D = W[0].size(); + int nb_cells = pow(3, D); + Delaunay_vertex v; + for (int i = 0; i < nb_cells; ++i) + { + std::vector<FT> point; + int cell_i = i; + for (int l = 0; l < D; ++l) + { + point.push_back(W[chosen_landmark][l] + 2.0*(cell_i%3-1)); + cell_i /= 3; + } + if (i == nb_cells/2) + v = delaunay.insert(point); //v = center point + else + delaunay.insert(point); + } + landmarks_ind.push_back(chosen_landmark); + landmark_count++; + return v; + } +} + +/** Small check if the vertex v is in the full cell fc + */ + +bool vertex_is_in_full_cell(Delaunay_triangulation::Vertex_handle v, Full_cell_handle fc) +{ + for (auto v_it = fc->vertices_begin(); v_it != fc->vertices_end(); ++v_it) + if (*v_it == v) + return true; + return false; +} + +/** Fill chosen point vector from indices with copies if you are working on a flat torus + * + * IN: W is the point vector + * OUT: landmarks is the output vector + * IN: landmarks_ind is the vector of indices + * IN: torus is true iff you are working on a flat torus [-1,1]^d + */ + +void fill_landmarks(Point_Vector& W, Point_Vector& landmarks, std::vector<int>& landmarks_ind, bool torus) +{ + if (!torus) + for (unsigned j = 0; j < landmarks_ind.size(); ++j) + landmarks.push_back(W[landmarks_ind[j]]); + else + { + int D = W[0].size(); + int nb_cells = pow(3, D); + int nbL = landmarks_ind.size(); + // Fill landmarks + for (int i = 0; i < nb_cells-1; ++i) + for (int j = 0; j < nbL; ++j) + { + int cell_i = i; + Point_d point; + for (int l = 0; l < D; ++l) + { + point.push_back(W[landmarks_ind[j]][l] + 2.0*(cell_i-1)); + cell_i /= 3; + } + landmarks.push_back(point); + } + } +} + +/** Fill a vector of all simplices in the Delaunay triangulation giving integer indices to vertices + * + * IN: t is the Delaunay triangulation + * OUT: full_cells is the output vector + */ + +void fill_full_cell_vector(Delaunay_triangulation& t, std::vector<std::vector<int>>& full_cells) +{ + // Store vertex indices in a map + int ind = 0; //index of a vertex + std::map<Delaunay_triangulation::Vertex_handle, int> index_of_vertex; + for (auto v_it = t.vertices_begin(); v_it != t.vertices_end(); ++v_it) + if (t.is_infinite(v_it)) + continue; + else + index_of_vertex[v_it] = ind++; + // Write full cells as vectors in full_cells + for (auto fc_it = t.full_cells_begin(); fc_it != t.full_cells_end(); ++fc_it) + { + if (t.is_infinite(fc_it)) + continue; + Point_Vector vertices; + for (auto fc_v_it = fc_it->vertices_begin(); fc_v_it != fc_it->vertices_end(); ++fc_v_it) + vertices.push_back((*fc_v_it)->point()); + Sphere_d cs( vertices.begin(), vertices.end()); + Point_d csc = cs.center(); + bool in_cube = true; + for (auto xi = csc.cartesian_begin(); xi != csc.cartesian_end(); ++xi) + if (*xi > 1.0 || *xi < -1.0) + { + in_cube = false; break; + } + if (!in_cube) + continue; + std::vector<int> cell; + for (auto v_it = fc_it->vertices_begin(); v_it != fc_it->vertices_end(); ++v_it) + cell.push_back(index_of_vertex[*v_it]); + full_cells.push_back(cell); + } +} + +bool sphere_intersects_cube(Point_d& c, FT r) +{ + bool in_cube = true; + // int i = 0, D = p.size(); + for (auto xi = c.cartesian_begin(); xi != c.cartesian_end(); ++xi) + // if ((*xi < 1.0 || *xi > -1.0) && + // (*xi-r < 1.0 || *xi-r > -1.0) && + // (*xi+r < 1.0 || *xi+r > -1.0)) + + if ((*xi-r < -1.0 && *xi+r < -1.0) || + (*xi-r > 1.0 && *xi+r > 1.0 )) + { + in_cube = false; break; + } + return in_cube; +} + +/** Recursive function for checking if the simplex is good, + * meaning it does not contain a k-face, which is not theta0^(k-1) thick + */ + +bool is_theta0_good(std::vector<Point_d>& vertices, FT theta0) +{ + if (theta0 > 1) + { + std::cout << "Warning! theta0 is set > 1\n"; + return false; + } + int D = vertices.size()-1; + if (D <= 1) + return true; // Edges are always good + //******** Circumscribed sphere + Euclidean_distance ed; + Sphere_d cs(vertices.begin(), vertices.end()); + FT r = sqrt(cs.squared_radius()); + for (std::vector<Point_d>::iterator v_it = vertices.begin(); v_it != vertices.end(); ++v_it) + { + std::vector<Point_d> facet; + for (std::vector<Point_d>::iterator f_it = vertices.begin(); f_it != vertices.end(); ++f_it) + if (f_it != v_it) + facet.push_back(*f_it); + // Compute the altitude + + if (vertices[0].size() == 3 && D == 2) + { + //Vector_d l = facet[0] - facet[1]; + FT orth_length2 = ed.transformed_distance(facet[0],facet[1]); + K::Cartesian_const_iterator_d l_it, p_it, s_it, c_it; + FT h = 0; + // Scalar product = <sp,l> + FT scalar = 0; + for (p_it = v_it->cartesian_begin(), + s_it = facet[0].cartesian_begin(), + l_it = facet[1].cartesian_begin(); + p_it != v_it->cartesian_end(); + ++l_it, ++p_it, ++s_it) + scalar += (*l_it - *s_it)*(*p_it - *s_it); + // Gram-Schmidt for one vector + for (p_it = v_it->cartesian_begin(), + s_it = facet[0].cartesian_begin(), + l_it = facet[1].cartesian_begin(); + p_it != v_it->cartesian_end(); + ++l_it, ++p_it, ++s_it) + { + FT hx = (*p_it - *s_it) - scalar*(*l_it - *s_it)/orth_length2; + h += hx*hx; + } + h = sqrt(h); + + if (h/(2*r) < pow(theta0, D-1)) + return false; + if (!is_theta0_good(facet, theta0)) + return false; + } + else + { + Hyperplane_d tau_h(facet.begin(), facet.end(), *v_it); + Vector_d orth_tau = tau_h.orthogonal_vector(); + FT orth_length = sqrt(orth_tau.squared_length()); + K::Cartesian_const_iterator_d o_it, p_it, s_it, c_it; + FT h = 0; + for (o_it = orth_tau.cartesian_begin(), + p_it = v_it->cartesian_begin(), + s_it = (facet.begin())->cartesian_begin(); + o_it != orth_tau.cartesian_end(); + ++o_it, ++p_it, ++s_it) + h += (*o_it)*(*p_it - *s_it)/orth_length; + h = fabs(h); + if (experiment3 && thetamin_vector[thetamin_vector.size()-1] > pow(h/(2*r), 1.0/(D-1))) + { + thetamin_vector[thetamin_vector.size()-1] = pow(h/(2*r), 1.0/(D-1)); + //std::cout << "theta=" << h/(2*r) << ", "; + } + if (h/(2*r) < pow(theta0, D-1)) + return false; + if (!is_theta0_good(facet, theta0)) + return false; + } + } + return true; +} + +/** Recursive function for checking the goodness of a simplex, + * meaning it does not contain a k-face, which is not theta0^(k-1) thick + */ + +FT theta(std::vector<Point_d>& vertices) +{ + FT curr_value = 1.0; + int D = vertices.size()-1; + if (D <= 1) + return 1; // Edges are always good + //******** Circumscribed sphere + Euclidean_distance ed; + Sphere_d cs(vertices.begin(), vertices.end()); + FT r = sqrt(cs.squared_radius()); + for (std::vector<Point_d>::iterator v_it = vertices.begin(); v_it != vertices.end(); ++v_it) + { + std::vector<Point_d> facet; + for (std::vector<Point_d>::iterator f_it = vertices.begin(); f_it != vertices.end(); ++f_it) + if (f_it != v_it) + facet.push_back(*f_it); + // Compute the altitude + curr_value = std::min(curr_value, theta(facet)); // Check the corresponding facet + if (vertices[0].size() == 3 && D == 2) + { + //Vector_d l = facet[0] - facet[1]; + FT orth_length2 = ed.transformed_distance(facet[0],facet[1]); + K::Cartesian_const_iterator_d l_it, p_it, s_it, c_it; + FT h = 0; + // Scalar product = <sp,l> + FT scalar = 0; + for (p_it = v_it->cartesian_begin(), + s_it = facet[0].cartesian_begin(), + l_it = facet[1].cartesian_begin(); + p_it != v_it->cartesian_end(); + ++l_it, ++p_it, ++s_it) + scalar += (*l_it - *s_it)*(*p_it - *s_it); + // Gram-Schmidt for one vector + for (p_it = v_it->cartesian_begin(), + s_it = facet[0].cartesian_begin(), + l_it = facet[1].cartesian_begin(); + p_it != v_it->cartesian_end(); + ++l_it, ++p_it, ++s_it) + { + FT hx = (*p_it - *s_it) - scalar*(*l_it - *s_it)/orth_length2; + h += hx*hx; + } + h = sqrt(h); + curr_value = std::min(curr_value, std::pow(h/(2*r), 1.0/(D-1))); + } + else + { + Hyperplane_d tau_h(facet.begin(), facet.end(), *v_it); + Vector_d orth_tau = tau_h.orthogonal_vector(); + FT orth_length = sqrt(orth_tau.squared_length()); + K::Cartesian_const_iterator_d o_it, p_it, s_it, c_it; + FT h = 0; + for (o_it = orth_tau.cartesian_begin(), + p_it = v_it->cartesian_begin(), + s_it = (facet.begin())->cartesian_begin(); + o_it != orth_tau.cartesian_end(); + ++o_it, ++p_it, ++s_it) + h += (*o_it)*(*p_it - *s_it)/orth_length; + h = fabs(h); + curr_value = std::min(curr_value, pow(h/(2*r), 1.0/(D-1))); + } + } + return curr_value; +} + +// Doubling in a way 1->2->5->10 +void double_round(int& i) +{ + FT order10 = pow(10,std::floor(std::log10(i))); + int digit = std::floor( i / order10); + std::cout << digit; + if (digit == 1) + i *= 2; + else if (digit == 2) + i = 5*i/2; + else if (digit == 5) + i *= 2; + else + std::cout << "digit not correct. digit = " << digit << std::endl; +} + +//////////////////////////////////////////////////////////////////////////////////////////////////////////// +// IS VIOLATED TEST +//////////////////////////////////////////////////////////////////////////////////////////////////////////// + +/** Check if a newly created cell is protected from old vertices + * + * t is the Delaunay triangulation + * vertices is the vector containing the point to insert and a facet f in t + * v1 is the vertex of t, such that f and v1 form a simplex + * v2 is the vertex of t, such that f and v2 form another simplex + * delta is the protection constant + * power_protection is true iff the delta-power protection is used + */ + +bool new_cell_is_violated(Delaunay_triangulation& t, std::vector<Point_d>& vertices, const Delaunay_vertex& v1, const Delaunay_vertex v2, FT delta0, bool power_protection, FT theta0, FT gamma0) +{ + assert(vertices.size() == vertices[0].size() || + vertices.size() == vertices[0].size() + 1); //simplex size = d | d+1 + assert(v1 != v2); + if (vertices.size() == vertices[0].size() + 1) + // FINITE CASE + { + Sphere_d cs(vertices.begin(), vertices.end()); + Point_d center_cs = cs.center(); + FT r = sqrt(Euclidean_distance().transformed_distance(center_cs, vertices[0])); + /* + for (auto v_it = t.vertices_begin(); v_it != t.vertices_end(); ++v_it) + if (!t.is_infinite(v_it)) + { + //CGAL::Oriented_side side = Oriented_side_d()(cs, (v_it)->point()); + if (std::find(vertices.begin(), vertices.end(), v_it->point()) == vertices.end()) + { + FT dist2 = Euclidean_distance().transformed_distance(center_cs, (v_it)->point()); + if (!power_protection) + if (dist2 >= r*r-_sfty && dist2 <= (r+delta)*(r+delta)) + return true; + if (power_protection) + if (dist2 >= r*r-_sfty && dist2 <= r*r+delta*delta) + return true; + } + } + */ + // Is the center inside the box? (only Euclidean case) + // if (!torus) + // { + // bool inside_the_box = true; + // for (c_it = center_cs.cartesian_begin(); c_it != center_cs.cartesian_end(); ++c_it) + // if (*c_it > 1.0 || *c_it < -1.0) + // { + // inside_the_box = false; break; + // } + // if (inside_the_box && h/r < theta0) + // return true; + // } + // Check the two vertices (if not infinite) + if (!t.is_infinite(v1)) + { + FT dist2 = Euclidean_distance().transformed_distance(center_cs, v1->point()); + if (!power_protection) + if (dist2 >= r*r-_sfty && dist2 <= (r+r*delta0)*(r+r*delta0)) + { refused_case2++; return true;} + if (power_protection) + if (dist2 >= r*r-_sfty && dist2 <= r*r+r*r*delta0*delta0) + { refused_case2++; return true;} + // Check if the centers are not too close + std::vector<Point_d> sigma(vertices); + sigma[0] = v1->point(); + Sphere_d cs_sigma(sigma.begin(), sigma.end()); + Point_d csc_sigma = cs_sigma.center(); + FT r_sigma = sqrt(cs_sigma.squared_radius()); + FT dcc = sqrt(Euclidean_distance().transformed_distance(center_cs, csc_sigma)); + if (experiment3 && dcc/r < gammamin_vector[gammamin_vector.size()-1]) + gammamin_vector[gammamin_vector.size()-1] = dcc/r; + if (experiment3 && dcc/r_sigma < gammamin_vector[gammamin_vector.size()-1]) + gammamin_vector[gammamin_vector.size()-1] = dcc/r_sigma; + if (dcc < r*gamma0 || dcc < r_sigma*gamma0) + { refused_centers1++; return true; } + } + if (!t.is_infinite(v2)) + { + FT dist2 = Euclidean_distance().transformed_distance(center_cs, v2->point()); + if (!power_protection) + if (dist2 >= r*r-_sfty && dist2 <= (r+r*delta0)*(r+r*delta0)) + { refused_case2++; return true;} + if (power_protection) + if (dist2 >= r*r-_sfty && dist2 <= r*r+r*r*delta0*delta0) + { refused_case2++; return true;} + // Check if the centers are not too close + std::vector<Point_d> sigma(vertices); + sigma[0] = v2->point(); + Sphere_d cs_sigma(sigma.begin(), sigma.end()); + Point_d csc_sigma = cs_sigma.center(); + FT r_sigma = sqrt(cs_sigma.squared_radius()); + FT dcc = sqrt(Euclidean_distance().transformed_distance(center_cs, csc_sigma)); + if (experiment3 && dcc/r < gammamin_vector[gammamin_vector.size()-1]) + gammamin_vector[gammamin_vector.size()-1] = dcc/r; + if (experiment3 && dcc/r_sigma < gammamin_vector[gammamin_vector.size()-1]) + gammamin_vector[gammamin_vector.size()-1] = dcc/r_sigma; + if (dcc < r*gamma0 || dcc < r_sigma*gamma0) + { refused_centers1++; return true; } + } + // Check if the simplex is theta0-good + if (!is_theta0_good(vertices, theta0)) + { refused_bad++; return true;} + + } + else + // INFINITE CASE + { + Delaunay_triangulation::Vertex_iterator v = t.vertices_begin(); + while (t.is_infinite(v) || std::find(vertices.begin(), vertices.end(), v->point()) == vertices.end()) + v++; + Hyperplane_d facet_plane(vertices.begin(), vertices.end(), v->point(), CGAL::ON_POSITIVE_SIDE); + Vector_d orth_v = facet_plane.orthogonal_vector(); + /* + for (auto v_it = t.vertices_begin(); v_it != t.vertices_end(); ++v_it) + if (!t.is_infinite(v_it)) + if (std::find(vertices.begin(), vertices.end(), v_it->point()) == vertices.end()) + { + std::vector<FT> coords; + Point_d p = v_it->point(); + auto orth_i = orth_v.cartesian_begin(), p_i = p.cartesian_begin(); + for (; orth_i != orth_v.cartesian_end(); ++orth_i, ++p_i) + coords.push_back((*p_i) - (*orth_i) * delta / sqrt(orth_v.squared_length())); + Point_d p_delta = Point_d(coords); + bool p_is_inside = !Has_on_positive_side_d()(facet_plane, p); + bool p_delta_is_inside = !Has_on_positive_side_d()(facet_plane, p_delta); + if (!p_is_inside && p_delta_is_inside) + return true; + } + */ + if (!t.is_infinite(v1)) + { + std::vector<FT> coords; + Point_d p = v1->point(); + auto orth_i = orth_v.cartesian_begin(), p_i = p.cartesian_begin(); + for (; orth_i != orth_v.cartesian_end(); ++orth_i, ++p_i) + coords.push_back((*p_i) - (*orth_i) * delta0 / sqrt(orth_v.squared_length())); + Point_d p_delta = Point_d(coords); + bool p_is_inside = !Has_on_positive_side_d()(facet_plane, p); + bool p_delta_is_inside = !Has_on_positive_side_d()(facet_plane, p_delta); + if (!power_protection && !p_is_inside && p_delta_is_inside) + return true; + } + if (!t.is_infinite(v2)) + { + std::vector<FT> coords; + Point_d p = v2->point(); + auto orth_i = orth_v.cartesian_begin(), p_i = p.cartesian_begin(); + for (; orth_i != orth_v.cartesian_end(); ++orth_i, ++p_i) + coords.push_back((*p_i) - (*orth_i) * delta0 / sqrt(orth_v.squared_length())); + Point_d p_delta = Point_d(coords); + bool p_is_inside = !Has_on_positive_side_d()(facet_plane, p); + bool p_delta_is_inside = !Has_on_positive_side_d()(facet_plane, p_delta); + if (!power_protection && !p_is_inside && p_delta_is_inside) + return true; + } + } + return false; +} + +/** Auxillary recursive function to check if the point p violates the protection of the cell c and + * if there is a violation of an eventual new cell + * + * p is the point to insert + * t is the current triangulation + * c is the current cell (simplex) + * parent_cell is the parent cell (simplex) + * index is the index of the facet between c and parent_cell from parent_cell's point of view + * D is the dimension of the triangulation + * delta is the protection constant + * marked_cells is the vector of all visited cells containing p in their circumscribed ball + * power_protection is true iff you are working with delta-power protection + * + * OUT: true iff inserting p hasn't produced any violation so far + */ + +bool is_violating_protection(Point_d& p, Delaunay_triangulation& t, Full_cell_handle c, Full_cell_handle parent_cell, int index, int D, FT delta0, std::vector<Full_cell_handle>& marked_cells, bool power_protection, FT theta0, FT gamma0) +{ + Euclidean_distance ed; + std::vector<Point_d> vertices; + if (!t.is_infinite(c)) + { + // if the cell is finite, we look if the protection is violated + for (auto v_it = c->vertices_begin(); v_it != c->vertices_end(); ++v_it) + vertices.push_back((*v_it)->point()); + Sphere_d cs( vertices.begin(), vertices.end()); + Point_d center_cs = cs.center(); + FT r = sqrt(ed.transformed_distance(center_cs, vertices[0])); + FT dist2 = ed.transformed_distance(center_cs, p); + // if the new point is inside the protection ball of a non conflicting simplex + if (!power_protection) + if (dist2 >= r*r-_sfty && dist2 <= (r+r*delta0)*(r+r*delta0)) + { refused_case1++; return true;} + if (power_protection) + if (dist2 >= r*r-_sfty && dist2 <= r*r+delta0*delta0*r*r) + { refused_case1++; return true;} + // if the new point is inside the circumscribing ball : continue violation searching on neighbours + //if (dist2 < r*r) + //if (dist2 < (5*r+delta)*(5*r+delta)) + if (dist2 < r*r) + { + c->tds_data().mark_visited(); + marked_cells.push_back(c); + for (int i = 0; i < D+1; ++i) + { + Full_cell_handle next_c = c->neighbor(i); + if (next_c->tds_data().is_clear() && + is_violating_protection(p, t, next_c, c, i, D, delta0, marked_cells, power_protection, theta0, gamma0)) + return true; + } + } + // if the new point is outside the protection sphere + else + { + // facet f is on the border of the conflict zone : check protection of simplex {p,f} + // the new simplex is guaranteed to be finite + vertices.clear(); vertices.push_back(p); + for (int i = 0; i < D+1; ++i) + if (i != index) + vertices.push_back(parent_cell->vertex(i)->point()); + Delaunay_vertex vertex_to_check = t.infinite_vertex(); + for (auto vh_it = c->vertices_begin(); vh_it != c->vertices_end(); ++vh_it) + if (!vertex_is_in_full_cell(*vh_it, parent_cell)) + { + vertex_to_check = *vh_it; break; + } + if (new_cell_is_violated(t, vertices, vertex_to_check, parent_cell->vertex(index), delta0, power_protection, theta0, gamma0)) + //if (new_cell_is_violated(t, vertices, vertex_to_check->point(), delta)) + return true; + } + } + else + { + // Inside of the convex hull is + side. Outside is - side. + for (auto vh_it = c->vertices_begin(); vh_it != c->vertices_end(); ++vh_it) + if (!t.is_infinite(*vh_it)) + vertices.push_back((*vh_it)->point()); + Delaunay_triangulation::Vertex_iterator v_it = t.vertices_begin(); + while (t.is_infinite(v_it) || vertex_is_in_full_cell(v_it, c)) + v_it++; + Hyperplane_d facet_plane(vertices.begin(), vertices.end(), v_it->point(), CGAL::ON_POSITIVE_SIDE); + //CGAL::Oriented_side outside = Oriented_side_d()(facet_plane, v_it->point()); + Vector_d orth_v = facet_plane.orthogonal_vector(); + std::vector<FT> coords; + auto orth_i = orth_v.cartesian_begin(), p_i = p.cartesian_begin(); + for (; orth_i != orth_v.cartesian_end(); ++orth_i, ++p_i) + coords.push_back((*p_i) - (*orth_i) * delta0 / sqrt(orth_v.squared_length())); + Point_d p_delta = Point_d(coords); + bool p_is_inside = !Has_on_positive_side_d()(facet_plane, p) && (Oriented_side_d()(facet_plane, p) != CGAL::ZERO); + bool p_delta_is_inside = !Has_on_positive_side_d()(facet_plane, p_delta); + + // If we work with power protection, we just ignore any conflicts + if (!power_protection && !p_is_inside && p_delta_is_inside) + return true; + //if the cell is infinite we look at the neighbours regardless + if (p_is_inside) + { + c->tds_data().mark_visited(); + marked_cells.push_back(c); + for (int i = 0; i < D+1; ++i) + { + Full_cell_handle next_c = c->neighbor(i); + if (next_c->tds_data().is_clear() && + is_violating_protection(p, t, next_c, c, i, D, delta0, marked_cells, power_protection, theta0, gamma0)) + return true; + } + } + else + { + // facet f is on the border of the conflict zone : check protection of simplex {p,f} + // the new simplex is finite if the parent cell is finite + vertices.clear(); vertices.push_back(p); + for (int i = 0; i < D+1; ++i) + if (i != index) + if (!t.is_infinite(parent_cell->vertex(i))) + vertices.push_back(parent_cell->vertex(i)->point()); + Delaunay_vertex vertex_to_check = t.infinite_vertex(); + for (auto vh_it = c->vertices_begin(); vh_it != c->vertices_end(); ++vh_it) + if (!vertex_is_in_full_cell(*vh_it, parent_cell)) + { + vertex_to_check = *vh_it; break; + } + if (new_cell_is_violated(t, vertices, vertex_to_check, parent_cell->vertex(index), delta0, power_protection, theta0, gamma0)) + //if (new_cell_is_violated(t, vertices, vertex_to_check->point(), delta)) + return true; + } + } + //c->tds_data().clear_visited(); + //marked_cells.pop_back(); + return false; +} + +/** Checks if inserting the point p in t will make conflicts + * + * p is the point to insert + * t is the current triangulation + * D is the dimension of triangulation + * delta is the protection constant + * power_protection is true iff you are working with delta-power protection + * OUT: true iff inserting p produces a violation of delta-protection. + */ + +bool is_violating_protection(Point_d& p, Delaunay_triangulation& t, int D, FT delta0, bool power_protection, FT theta0, FT gamma0) +{ + Euclidean_distance ed; + Delaunay_triangulation::Vertex_handle v; + Delaunay_triangulation::Face f(t.current_dimension()); + Delaunay_triangulation::Facet ft; + Delaunay_triangulation::Full_cell_handle c; + Delaunay_triangulation::Locate_type lt; + std::vector<Full_cell_handle> marked_cells; + //c = t.locate(p, lt, f, ft, v); + c = t.locate(p); + bool violation_existing_cells = is_violating_protection(p, t, c, c, 0, D, delta0, marked_cells, power_protection, theta0, gamma0); + for (Full_cell_handle fc : marked_cells) + fc->tds_data().clear(); + return violation_existing_cells; +} + + +//////////////////////////////////////////////////////////////////////// +// INITIALIZATION +//////////////////////////////////////////////////////////////////////// + +// Query for a sphere near a cite in all copies of a torus +// OUT points_inside +void torus_search(Tree& treeW, int D, Point_d cite, FT r, std::vector<int>& points_inside) +{ + int nb_cells = pow(3, D); + Delaunay_vertex v; + for (int i = 0; i < nb_cells; ++i) + { + std::vector<FT> cite_copy; + int cell_i = i; + for (int l = 0; l < D; ++l) + { + cite_copy.push_back(cite[l] + 2.0*(cell_i%3-1)); + cell_i /= 3; + } + Fuzzy_sphere fs(cite_copy, r, 0, treeW.traits()); + treeW.search(std::insert_iterator<std::vector<int>>(points_inside, points_inside.end()), fs); + } +} + + +void initialize_torus(Point_Vector& W, Tree& treeW, Delaunay_triangulation& t, FT epsilon, std::vector<int>& landmarks_ind, int& landmark_count, std::vector<bool>& point_taken) +{ + initialize_statistics(); + int D = W[0].size(); + if (D == 2) + { + int xw = 6, yw = 4; + // Triangular lattice close to regular triangles h=0.866a ~ 0.875a : 48p + for (int i = 0; i < xw; ++i) + for (int j = 0; j < yw; ++j) + { + Point_d cite1(std::vector<FT>{2.0/xw*i, 2.0/yw*j}); + std::vector<int> points_inside; + torus_search(treeW, D, cite1, epsilon, points_inside); + //std::cout << "i=" << i << ", j=" << j << " "; print_vector(points_inside); std::cout << "\n"; + std::vector<int>::iterator p_it = points_inside.begin(); + while (p_it != points_inside.end() && point_taken[*p_it]) + ++p_it; + assert(p_it != points_inside.end()); + //W[*p_it] = cite1; // debug purpose + insert_delaunay_landmark_with_copies(W, *p_it, + landmarks_ind, t, landmark_count, true); + point_taken[*p_it] = true; + + Point_d cite2(std::vector<FT>{2.0/xw*(i+0.5), 2.0/yw*(j+0.5)}); + points_inside.clear(); + torus_search(treeW, D, cite2, epsilon, points_inside); + //std::cout << "i=" << i << ", j=" << j << " "; print_vector(points_inside); std::cout << "\n"; + p_it = points_inside.begin(); + while (p_it != points_inside.end() && point_taken[*p_it]) + ++p_it; + assert(p_it != points_inside.end()); + //W[*p_it] = cite2; // debug purpose + insert_delaunay_landmark_with_copies(W, *p_it, + landmarks_ind, t, landmark_count, true); + point_taken[*p_it] = true; + } + } + else if (D == 3) + { + int wd = 3; + // Body-centered cubic lattice : 54p + for (int i = 0; i < wd; ++i) + for (int j = 0; j < wd; ++j) + for (int k = 0; k < wd; ++k) + { + Point_d cite1(std::vector<FT>{2.0/wd*i, 2.0/wd*j, 2.0/wd*k}); + std::vector<int> points_inside; + torus_search(treeW, D, cite1, epsilon, points_inside); + std::vector<int>::iterator p_it = points_inside.begin(); + while (p_it != points_inside.end() && point_taken[*p_it]) + ++p_it; + assert(p_it != points_inside.end()); + insert_delaunay_landmark_with_copies(W, *(points_inside.begin()), + landmarks_ind, t, landmark_count, true); + point_taken[*p_it] = true; + + Point_d cite2(std::vector<FT>{2.0/wd*(i+0.5), 2.0/wd*(j+0.5), 2.0/wd*(k+0.5)}); + points_inside.clear(); + torus_search(treeW, D, cite2, epsilon, points_inside); + p_it = points_inside.begin(); + while (p_it != points_inside.end() && point_taken[*p_it]) + ++p_it; + assert(p_it != points_inside.end()); + insert_delaunay_landmark_with_copies(W, *(points_inside.begin()), + landmarks_ind, t, landmark_count, true); + point_taken[*p_it] = true; + } + } + //write_mesh +} + +/////////////////////////////////////////////////////////////////////// +/////////////////////////////////////////////////////////////////////// +//!!!!!!!!!!!!! THE INTERFACE FOR LANDMARK CHOICE IS BELOW !!!!!!!!!!// +/////////////////////////////////////////////////////////////////////// +/////////////////////////////////////////////////////////////////////// + +// Struct for R_max_heap elements + +struct R_max_handle +{ + FT value; + Point_d center; + + R_max_handle(FT value_, Point_d c): value(value_), center(c) + {} +}; + +struct R_max_compare +{ + bool operator()(const R_max_handle& rmh1, const R_max_handle& rmh2) const + { + return rmh1.value < rmh2.value; + } +}; + +// typedef boost::heap::fibonacci_heap<R_max_handle, boost::heap::compare<R_max_compare>> Heap; + +// void make_heap(Delaunay_triangulation& t, Heap& R_max_heap) +// { +// R_max_heap.clear(); +// for (auto fc_it = t.full_cells_begin(); fc_it != t.full_cells_end(); ++fc_it) +// { +// if (t.is_infinite(fc_it)) +// continue; +// Point_Vector vertices; +// for (auto fc_v_it = fc_it->vertices_begin(); fc_v_it != fc_it->vertices_end(); ++fc_v_it) +// vertices.push_back((*fc_v_it)->point()); +// Sphere_d cs( vertices.begin(), vertices.end()); +// Point_d csc = cs.center(); +// FT r = sqrt(cs.squared_radius()); +// // A ball is in the heap, if it intersects the cube +// bool accepted = sphere_intersects_cube(csc, sqrt(r)); +// if (!accepted) +// continue; +// R_max_heap.push(R_max_handle(r, fc_it, csc)); +// } +// } + +////////////////////////////////////////////////////////////////////////////////////////////////////////// +// SAMPLING RADIUS +////////////////////////////////////////////////////////////////////////////////////////////////////////// + +R_max_handle sampling_radius(Delaunay_triangulation& t) +{ + FT epsilon2 = 0; + Point_d final_center; + Point_d control_point; + for (auto fc_it = t.full_cells_begin(); fc_it != t.full_cells_end(); ++fc_it) + { + if (t.is_infinite(fc_it)) + continue; + Point_Vector vertices; + for (auto fc_v_it = fc_it->vertices_begin(); fc_v_it != fc_it->vertices_end(); ++fc_v_it) + vertices.push_back((*fc_v_it)->point()); + Sphere_d cs( vertices.begin(), vertices.end()); + Point_d csc = cs.center(); + bool in_cube = true; + for (auto xi = csc.cartesian_begin(); xi != csc.cartesian_end(); ++xi) + if (*xi > 1.0 || *xi < -1.0) + { + in_cube = false; break; + } + if (!in_cube) + continue; + FT r2 = Euclidean_distance().transformed_distance(cs.center(), *(vertices.begin())); + if (epsilon2 < r2) + { + epsilon2 = r2; + final_center = csc; + control_point = (*vertices.begin()); + } + } + return R_max_handle(sqrt(epsilon2), final_center); +} + +FT sampling_fatness(Delaunay_triangulation& t) +{ + FT curr_theta = 1.0; + for (auto fc_it = t.full_cells_begin(); fc_it != t.full_cells_end(); ++fc_it) + { + if (t.is_infinite(fc_it)) + continue; + Point_Vector vertices; + for (auto fc_v_it = fc_it->vertices_begin(); fc_v_it != fc_it->vertices_end(); ++fc_v_it) + vertices.push_back((*fc_v_it)->point()); + Sphere_d cs( vertices.begin(), vertices.end()); + Point_d csc = cs.center(); + bool in_cube = true; + for (auto xi = csc.cartesian_begin(); xi != csc.cartesian_end(); ++xi) + if (*xi > 1.0 || *xi < -1.0) + { + in_cube = false; break; + } + if (!in_cube) + continue; + FT theta_f = theta(vertices); + curr_theta = std::min(curr_theta, theta_f); + //std::cout << "theta(sigma) = " << theta_f << "\n"; + } + return curr_theta; +} + +// Generate an epsilon sample for a given epsilon +void generate_epsilon_sample_torus(Point_Vector& W, FT epsilon, int dim, Delaunay_triangulation& t) +{ + W.clear(); + t.clear(); + int point_count = 0; + std::vector<int> point_ind; + // std::vector<FT> coords; + FT curr_eps = 2*dim; + // Initialize + // for (int i = 0; i < dim; ++i) + // coords.push_back(-1); + // R_max_handle rmh(2*sqrt(dim), Point_d(coords)); + // int N = dim; std::floor(std::pow(1/epsilon,dim)); + // std::cout << N << "\n"; + typedef CGAL::Random_points_in_cube_d<Point_d> Random_cube_iterator; + Random_cube_iterator rp(dim, 1.0); + W.push_back(*rp++); + insert_delaunay_landmark_with_copies(W, W.size()-1, point_ind, t, point_count, true); + curr_eps = sampling_radius(t).value; + while (curr_eps > epsilon) + { + + W.push_back(*rp++); + insert_delaunay_landmark_with_copies(W, W.size()-1, point_ind, t, point_count, true); + + Point_d c = sampling_radius(t).center; + W.push_back(c); + insert_delaunay_landmark_with_copies(W, W.size()-1, point_ind, t, point_count, true); + curr_eps = sampling_radius(t).value; + + std::cout << "curr_eps = " << curr_eps << "\n"; + } + // Iterate and insert in a torus + // while (rmh.value > epsilon) + // { + // W.push_back(rmh.center); + // insert_delaunay_landmark_with_copies(W, W.size()-1, point_ind, t, point_count, true); + // rmh = sampling_radius(t); + // //std::cout << rmh.value; + // } +} + +/////////////////////////////////////////////////////////////////////// +// LANDMARK CHOICE PROCEDURE +/////////////////////////////////////////////////////////////////////// + +/** Procedure to compute a maximal protected subset from a point cloud. All OUTs should be empty at call. + * + * IN: W is the initial point cloud having type Epick_d<Dynamic_dimension_tag>::Point_d + * IN: nbP is the size of W + * OUT: landmarks is the output vector for the points + * OUT: landmarks_ind is the output vector for the indices of the selected points in W + * IN: delta is the constant of protection + * OUT: full_cells is the output vector of the simplices in the final Delaunay triangulation + * IN: torus is true iff you are working on a flat torus [-1,1]^d + */ + +void protected_delaunay(Point_Vector& W, + //Point_Vector& landmarks, + std::vector<int>& landmarks_ind, + FT alpha, + FT epsilon, + FT delta0, + FT theta0, + FT gamma0, + //std::vector<std::vector<int>>& full_cells, + bool torus, + bool power_protection + ) +{ + //bool return_ = true; + unsigned D = W[0].size(); + int nbP = W.size(); + //FT beta = 1/(1-alpha); + //FT Ad = pow((4*alpha + 8*beta)/alpha, D); + //FT theta0 = 1/Ad; + //FT delta0 = pow(1/Ad,D); + Torus_distance td; + Euclidean_distance ed; + Delaunay_triangulation t(D); + std::vector<bool> point_taken(nbP,false); + CGAL::Random rand; + int landmark_count = 0; + std::list<int> index_list; + //****************** Kd Tree W + STraits traits(&(W[0])); + Tree treeW(boost::counting_iterator<std::ptrdiff_t>(0), + boost::counting_iterator<std::ptrdiff_t>(nbP), + typename Tree::Splitter(), + traits); + // shuffle the list of indexes (via a vector) + { + std::vector<int> temp_vector; + for (int i = 0; i < nbP; ++i) + temp_vector.push_back(i); + unsigned seed = std::chrono::system_clock::now().time_since_epoch().count(); + std::shuffle(temp_vector.begin(), temp_vector.end(), std::default_random_engine(seed)); + //CGAL::spatial_sort(temp_vector.begin(), temp_vector.end()); + for (std::vector<int>::iterator it = temp_vector.begin(); it != temp_vector.end(); ++it) + index_list.push_front(*it); + } + //******************** Initialize point set + if (!torus) + for (unsigned pos1 = 0; pos1 < D+1; ++pos1) + { + std::vector<FT> point; + for (unsigned i = 0; i < pos1; ++i) + point.push_back(-1); + if (pos1 != D) + point.push_back(1); + for (unsigned i = pos1+1; i < D; ++i) + point.push_back(0); + assert(point.size() == D); + W[index_list.front()] = Point_d(point); + insert_delaunay_landmark_with_copies(W, index_list.front(), landmarks_ind, t, landmark_count, torus); + index_list.pop_front(); + } + else + initialize_torus(W, treeW, t, epsilon, landmarks_ind, landmark_count, point_taken); + //std::cout << "Size of treeW: " << treeW.size() << "\n"; + //std::cout << "Size of t: " << t.number_of_vertices() << "\n"; + //******************* Initialize heap for R_max + //Heap R_max_heap; + //make_heap(t, R_max_heap); + + + R_max_handle rh = sampling_radius(t); + FT epsilon0 = rh.value; + if (experiment1) eps_vector.push_back(pow(1/rh.value,D)); + //******************** Iterative algorithm + std::vector<int> candidate_points; + torus_search(treeW, D, + rh.center, + alpha*rh.value, + candidate_points); + std::list<int>::iterator list_it; + std::vector<int>::iterator cp_it = candidate_points.begin(); + while (cp_it != candidate_points.end()) + { + if (!point_taken[*cp_it] && !is_violating_protection(W[*cp_it], t, D, delta0, power_protection, theta0, gamma0)) + { + Delaunay_vertex v = insert_delaunay_landmark_with_copies(W, *cp_it, landmarks_ind, t, landmark_count, torus); + { + // Simple check if the new cells don't have centers too close one to another + std::vector<Full_cell_handle> inc_cells; + std::back_insert_iterator<std::vector<Full_cell_handle>> out(inc_cells); + t.tds().incident_full_cells(v, out); + + std::vector<Sphere_d> spheres; + for (auto i_it = inc_cells.begin(); i_it != inc_cells.end(); ++i_it) + { + std::vector<Point_d> vertices; + for (auto v_it = (*i_it)->vertices_begin(); v_it != (*i_it)->vertices_end(); ++v_it) + vertices.push_back((*v_it)->point()); + spheres.push_back(Sphere_d(vertices.begin(), vertices.end())); + } + for (auto s_it = spheres.begin(); s_it != spheres.end(); ++s_it) + for (auto t_it = s_it+1; t_it != spheres.end(); ++t_it) + { + FT ddc2 = ed.transformed_distance(s_it->center(),t_it->center()); + if (ddc2 < gamma0*gamma0*s_it->squared_radius() || + ddc2 < gamma0*gamma0*t_it->squared_radius()) + { refused_centers2++; } + } + } + + //std::cout << *cp_it << ",\n"; + //make_heap(t, R_max_heap); + point_taken[*cp_it] = true; + rh = sampling_radius(t); + if (experiment1) eps_vector.push_back(pow(1/rh.value,D)); + //std::cout << "rhvalue = " << rh.value << "\n"; + //std::cout << "D = " << + candidate_points.clear(); + torus_search(treeW, D, + rh.center, + alpha*rh.value, + candidate_points); + cp_it = candidate_points.begin(); + /* + // PIECE OF CODE FOR DEBUGGING PURPOSES + + Delaunay_vertex inserted_v = insert_delaunay_landmark_with_copies(W, *list_it, landmarks_ind, t, landmark_count); + if (triangulation_is_protected(t, delta)) + { + index_list.erase(list_it); + list_it = index_list.begin(); + } + else + { //THAT'S WHERE SOMETHING'S WRONG + t.remove(inserted_v); + landmarks_ind.pop_back(); + landmark_count--; + write_delaunay_mesh(t, W[*list_it], is2d); + is_violating_protection(W[*list_it], t_old, D, delta); //Called for encore + } + */ + //std::cout << "index_list_size() = " << index_list.size() << "\n"; + } + else + { + cp_it++; + //std::cout << "!!!!!WARNING!!!!! A POINT HAS BEEN OMITTED!!!\n"; + } + //if (list_it != index_list.end()) + // write_delaunay_mesh(t, W[*list_it], is2d); + } + + if (experiment2) epsratio_vector.push_back(rh.value/epsilon0); + if (experiment2) epsslope_vector.push_back( (pow(1/rh.value,D)-pow(1/epsilon0,D))/(landmarks_ind.size() - 48) ); + std::cout << "The iteration ended when cp_count = " << candidate_points.size() << "\n"; + std::cout << "alphaRmax = " << alpha*rh.value << "\n"; + std::cout << "epsilon' = " << rh.value << "\n"; + std::cout << "nbL = " << landmarks_ind.size() << "\n"; + print_statistics(); + //print_vector(landmarks_ind); std::cout << std::endl; + //std::sort(landmarks_ind.begin(), landmarks_ind.end()); + print_vector(landmarks_ind); std::cout << std::endl; + if (experiment3) thetamin_vector[thetamin_vector.size()-1] = sampling_fatness(t); + std::cout << "theta = " << sampling_fatness(t) << "\n"; + //fill_landmarks(W, landmarks, landmarks_ind, torus); + //fill_full_cell_vector(t, full_cells); + /* + if (triangulation_is_protected(t, delta)) + std::cout << "Triangulation is ok\n"; + else + { + std::cout << "Triangulation is BAD!! T_T しくしく!\n"; + } + */ + write_delaunay_mesh(t, W[0], true); + //std::cout << t << std::endl; +} + +void run_experiment5(Point_Vector& W, + int D, + FT alpha, + FT epsilon, + FT delta0, + FT theta0, + FT gamma0, + //std::vector<std::vector<int>>& full_cells, + bool torus, + bool power_protection + ) +{ + // INITIALIZATION + Delaunay_triangulation t(D); + std::vector<int> landmarks_ind; + int landmark_count = 0; + initialize_statistics(); + if (D == 2) + { + int xw = 6, yw = 4; + // Triangular lattice close to regular triangles h=0.866a ~ 0.875a : 48p + for (int i = 0; i < xw; ++i) + for (int j = 0; j < yw; ++j) + { + Point_d cite1(std::vector<FT>{2.0/xw*i, 2.0/yw*j}); + W.push_back(cite1); // debug purpose + insert_delaunay_landmark_with_copies(W, W.size()-1, + landmarks_ind, t, landmark_count, true); + + Point_d cite2(std::vector<FT>{2.0/xw*(i+0.5), 2.0/yw*(j+0.5)}); + W.push_back(cite2); // debug purpose + insert_delaunay_landmark_with_copies(W, W.size()-1, + landmarks_ind, t, landmark_count, true); + } + } + else if (D == 3) + { + int wd = 3; + // Body-centered cubic lattice : 54p + for (int i = 0; i < wd; ++i) + for (int j = 0; j < wd; ++j) + for (int k = 0; k < wd; ++k) + { + Point_d cite1(std::vector<FT>{2.0/wd*i, 2.0/wd*j, 2.0/wd*k}); + W.push_back(cite1); // debug purpose + insert_delaunay_landmark_with_copies(W, W.size()-1, + landmarks_ind, t, landmark_count, true); + + Point_d cite2(std::vector<FT>{2.0/wd*(i+0.5), 2.0/wd*(j+0.5), 2.0/wd*(k+0.5)}); + W.push_back(cite2); // debug purpose + insert_delaunay_landmark_with_copies(W, W.size()-1, + landmarks_ind, t, landmark_count, true); + } + } + + // ITERATIONS + R_max_handle rh = sampling_radius(t); + Point_d rp = *(Random_point_iterator(D, alpha*rh.value)); + int death_count = 0; + std::cout << "death count " << death_count << " rp = " << rp << "\n"; + while (death_count < 100) + { + std::vector<FT> coords; + for (auto c_it = rh.center.cartesian_begin(), + r_it = rp.cartesian_begin(); + c_it != rh.center.cartesian_end(); + ++c_it, ++r_it) + coords.push_back(*c_it + *r_it); + Point_d new_p(coords); + if (!is_violating_protection(new_p, t, D, delta0, power_protection, theta0, gamma0)) + { + W.push_back(new_p); + insert_delaunay_landmark_with_copies(W, W.size()-1, landmarks_ind, t, landmark_count, torus); + rh = sampling_radius(t); + rp = *(Random_point_iterator(D, alpha*rh.value)); + death_count = 0; + std::cout << "death count " << death_count << " rp = " << rp << "\n"; + } + else + { + rp = *(Random_point_iterator(D, alpha*rh.value)); + death_count++; + std::cout << "death count " << death_count << " rp = " << rp << "\n"; + } + //Point_d new_p = (*rp++) + Vector_d; + } +} + +/////////////////////////////////////////////////////////////////////////////////////////////////////////// +// Series of experiments +/////////////////////////////////////////////////////////////////////////////////////////////////////////// + +void start_experiments(Point_Vector& W, FT alpha, std::vector<int>& landmarks_ind, FT epsilon) +{ + int experiment_no = 1; + FT delta0 = 0.1; + FT theta0 = 0.1; + FT gamma0 = 0.01; + std::string suffix; + //std::cout << "ようこそジプシー我が神秘の部屋へ:\n"; + while (experiment_no != 0) + { + std::cout << "Enter experiment no (0 to exit): "; + std::cin >> experiment_no; + switch (experiment_no) + { + case 1: + // Experiment 1 + experiment1 = true; + eps_vector = {}; + std::cout << "Enter delta0: "; std::cin >> delta0; + std::cout << "Enter theta0: "; std::cin >> theta0; + std::cout << "Enter gamma0: "; std::cin >> gamma0; + protected_delaunay(W, landmarks_ind, alpha, epsilon, delta0, theta0, gamma0, true, true); + write_tikz_plot(eps_vector,"epstime.tikz"); + experiment1 = false; + break; + + case 2: + // Experiment 2 + suffix = ""; + experiment2 = true; + epsratio_vector = {0}; + epsslope_vector = {0}; + std::cout << "File name suffix: "; + std::cin >> suffix; + for (FT alpha = 0.01; alpha < 0.999; alpha += 0.01) + { + landmarks_ind.clear(); + std::cout << "Test for alpha = " << alpha << "\n"; + protected_delaunay(W, landmarks_ind, alpha, epsilon, delta0, theta0, gamma0, true, true); + } + write_tikz_plot(epsratio_vector,"epsratio_alpha." + suffix + ".tex"); + write_tikz_plot(epsslope_vector,"epsslope_alpha." + suffix + ".tex"); + experiment2 = false; + break; + + case 3: + // Experiment 3 + experiment3 = true; + thetamin_vector = {}; + gammamin_vector = {}; + theta0 = 0; + gamma0 = 0; + for (FT delta0 = 0; delta0 < 0.999; delta0 += 0.05) + { + landmarks_ind.clear(); + thetamin_vector.push_back(1.0); //0.7489 fatness of the initialization + gammamin_vector.push_back(10); + std::cout << "Test for delta0 = " << delta0 << "\n"; + protected_delaunay(W, landmarks_ind, alpha, epsilon, delta0, theta0, gamma0, true, true); + } + write_tikz_plot(thetamin_vector,"thetamin_delta.tex"); + write_tikz_plot(gammamin_vector,"gammamin_delta.tex"); + experiment3 = false; + break; + + // case 4: + // // Experiment 4 + // { + // int dim; + // std::cout << "Enter dimension: "; + // std::cin >> dim; + // Delaunay_triangulation t(dim); + // // for (FT eps = 0.7; eps < 1.1; eps += 0.1) + // // { + // // generate_epsilon_sample_torus(W, eps, dim, t); + // // for (auto v_it = t.vertices_begin(); v_it != t.vertices_end(); ++v_it) + // // { + // // if (t.is_infinite(v_it)) + // // continue; + // // bool in_cube = true; + // // for (auto xi = v_it->cartesian_begin(); xi != v_it->cartesian_end(); ++xi) + // // if (*xi > 1.0 || *xi < -1.0) + // // { + // // in_cube = false; break; + // // } + // // if (!in_cube) + // // continue; + // // for (auto t.tds().incident_full_cells()) + // // } + // // std::cout << "eps = " << eps << ", real epsilon = " << sampling_radius(t).value << "\n"; + // // } + // // } + // break; + + + case 5: + // Experiment 5 + experiment5 = true; + // std::cout << "Enter dimension: "; + // std::cin >> dim; + + landmarks_ind.clear(); + W.clear(); + run_experiment5(W, alpha, epsilon, delta0, theta0, gamma0, true, true); + experiment5 = false; + break; + } + + } + +} + +#endif |