cp-algo/geometry/closest_pair.hpp

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• Last update: 2024-06-11 01:57:14+02:00
• Include: #include "cp-algo/geometry/closest_pair.hpp"

Depends on

• cp-algo/geometry/point.hpp
• cp-algo/random/rng.hpp

Verified with

• Closest Pair of Points (verify/geometry/closest_pair.test.cpp)

Code

#ifndef CP_ALGO_GEOMETRY_CLOSEST_PAIR_HPP
#define CP_ALGO_GEOMETRY_CLOSEST_PAIR_HPP
#include "../random/rng.hpp"
#include "point.hpp"
#include <vector>
#include <map>
namespace cp_algo::geometry {
    // Rabin & Lipton
    template<typename ftype>
    auto closest_pair(std::vector<point_t<ftype>> const& r) {
        using point = point_t<ftype>;
        size_t n = size(r);
        int64_t md = 1e18;
        for(size_t i = 0; i < n / 100; i++) {
            auto A = random::rng() % n;
            auto B = random::rng() % n;
            if(A != B) {
                md = std::min(md, norm(r[A] - r[B]));
                if(md == 0) {
                    return std::pair{A, B};
                }
            }
        }
        std::map<point, std::vector<int>> neigs;
        md = ceil(sqrtl(md));
        for(size_t i = 0; i < n; i++) {
            neigs[r[i] / md].push_back(i);
        }
        size_t a = 0, b = 1;
        md = norm(r[a] - r[b]);
        for(auto &[p, id]: neigs) {
            for(int dx: {-1, 0, 1}) {
                for(int dy: {-1, 0, 1}) {
                    auto pp = p + point{dx, dy};
                    if(!neigs.count(pp)) {
                        continue;
                    }
                    for(size_t i: neigs[pp]) {
                        for(size_t j: id) {
                            if(j == i) {
                                break;
                            }
                            int64_t cur = norm(r[i] - r[j]);
                            if(cur < md) {
                                md = cur;
                                a = i;
                                b = j;
                            }
                        }
                    }
                }
            }
        }
        return std::pair{a, b};
    }
}
#endif // CP_ALGO_GEOMETRY_CLOSEST_PAIR_HPP

#line 1 "cp-algo/geometry/closest_pair.hpp"


#line 1 "cp-algo/random/rng.hpp"


#include <chrono>
#include <random>
namespace cp_algo::random {
    uint64_t rng() {
        static std::mt19937_64 rng(
            std::chrono::steady_clock::now().time_since_epoch().count()
        );
        return rng();
    }
}

#line 1 "cp-algo/geometry/point.hpp"


#line 4 "cp-algo/geometry/point.hpp"
#include <iostream>
#include <complex>
namespace cp_algo::geometry {
    template<typename ftype>
    struct point_t: public std::complex<ftype> {
        using Base = std::complex<ftype>;
        using Base::Base;

        point_t(Base const& t): Base(t) {}
        
        auto operator <=> (point_t const& t) const {
            return std::pair{y(), -x()} <=> std::pair{t.y(), -t.x()};
        }

        ftype x() const {return Base::real();}
        ftype y() const {return Base::imag();}

        point_t cmul(point_t const& t) const {return conj(*this) * t;}
        ftype dot(point_t const& t) const {return cmul(t).x();}
        ftype cross(point_t const& t) const {return cmul(t).y();}

        static constexpr point_t O = {0, 0};

        int half() const {
            return *this < O ? -1 : *this == O ? 0 : 1;
        }

        static bool ccw(point_t const& a, point_t const& b) {
            return a.cross(b) > 0;
        }
        static bool ccw_abs(point_t const& a, point_t const & b) {
            return std::tuple{a.half(), (ftype)0, norm(a)} <
                   std::tuple{b.half(), a.cross(b), norm(b)};
        }
        void read() {
            ftype _x, _y;
            std::cin >> _x >> _y;
            *this = {_x, _y};
        }
        void print() const {
            std::cout << x() << ' ' << y() << "\n";
        }
    };
}

#line 5 "cp-algo/geometry/closest_pair.hpp"
#include <vector>
#include <map>
namespace cp_algo::geometry {
    // Rabin & Lipton
    template<typename ftype>
    auto closest_pair(std::vector<point_t<ftype>> const& r) {
        using point = point_t<ftype>;
        size_t n = size(r);
        int64_t md = 1e18;
        for(size_t i = 0; i < n / 100; i++) {
            auto A = random::rng() % n;
            auto B = random::rng() % n;
            if(A != B) {
                md = std::min(md, norm(r[A] - r[B]));
                if(md == 0) {
                    return std::pair{A, B};
                }
            }
        }
        std::map<point, std::vector<int>> neigs;
        md = ceil(sqrtl(md));
        for(size_t i = 0; i < n; i++) {
            neigs[r[i] / md].push_back(i);
        }
        size_t a = 0, b = 1;
        md = norm(r[a] - r[b]);
        for(auto &[p, id]: neigs) {
            for(int dx: {-1, 0, 1}) {
                for(int dy: {-1, 0, 1}) {
                    auto pp = p + point{dx, dy};
                    if(!neigs.count(pp)) {
                        continue;
                    }
                    for(size_t i: neigs[pp]) {
                        for(size_t j: id) {
                            if(j == i) {
                                break;
                            }
                            int64_t cur = norm(r[i] - r[j]);
                            if(cur < md) {
                                md = cur;
                                a = i;
                                b = j;
                            }
                        }
                    }
                }
            }
        }
        return std::pair{a, b};
    }
}

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