#pragma once #include <cmath> #include <vector> #include "Mylib/Graph/Template/graph.cpp" namespace haar_lib { template <typename T> class lowest_common_ancestor_doubling { int n_, log2n_; std::vector<std::vector<int>> parent_; std::vector<int> depth_; void dfs(const tree<T> &tr, int cur, int par, int d) { parent_[cur][0] = par; depth_[cur] = d; for (auto &e : tr[cur]) { if (e.to != par) { dfs(tr, e.to, cur, d + 1); } } } public: lowest_common_ancestor_doubling() {} lowest_common_ancestor_doubling(const tree<T> &tr, int root) : n_(tr.size()), log2n_((int) ceil(log2(n_)) + 1), parent_(n_, std::vector<int>(log2n_)), depth_(n_) { dfs(tr, root, -1, 0); for (int k = 0; k < log2n_ - 1; ++k) { for (int v = 0; v < n_; ++v) { if (parent_[v][k] == -1) parent_[v][k + 1] = -1; else parent_[v][k + 1] = parent_[parent_[v][k]][k]; } } } int lca(int a, int b) const { if (depth_[a] >= depth_[b]) std::swap(a, b); for (int k = 0; k < log2n_; ++k) { if ((depth_[b] - depth_[a]) >> k & 1) b = parent_[b][k]; } if (a == b) return a; for (int k = log2n_; --k >= 0;) { if (parent_[a][k] != parent_[b][k]) { a = parent_[a][k]; b = parent_[b][k]; } } return parent_[a][0]; } int operator()(int a, int b) const { return lca(a, b); } T distance(int u, int v, const std::vector<T> &dist) const { return dist[u] + dist[v] - 2 * dist[lca(u, v)]; } }; } // namespace haar_lib
#line 2 "Mylib/Graph/TreeUtils/lca_doubling.cpp" #include <cmath> #include <vector> #line 2 "Mylib/Graph/Template/graph.cpp" #include <iostream> #line 4 "Mylib/Graph/Template/graph.cpp" namespace haar_lib { template <typename T> struct edge { int from, to; T cost; int index = -1; edge() {} edge(int from, int to, T cost) : from(from), to(to), cost(cost) {} edge(int from, int to, T cost, int index) : from(from), to(to), cost(cost), index(index) {} }; template <typename T> struct graph { using weight_type = T; using edge_type = edge<T>; std::vector<std::vector<edge<T>>> data; auto& operator[](size_t i) { return data[i]; } const auto& operator[](size_t i) const { return data[i]; } auto begin() const { return data.begin(); } auto end() const { return data.end(); } graph() {} graph(int N) : data(N) {} bool empty() const { return data.empty(); } int size() const { return data.size(); } void add_edge(int i, int j, T w, int index = -1) { data[i].emplace_back(i, j, w, index); } void add_undirected(int i, int j, T w, int index = -1) { add_edge(i, j, w, index); add_edge(j, i, w, index); } template <size_t I, bool DIRECTED = true, bool WEIGHTED = true> void read(int M) { for (int i = 0; i < M; ++i) { int u, v; std::cin >> u >> v; u -= I; v -= I; T w = 1; if (WEIGHTED) std::cin >> w; if (DIRECTED) add_edge(u, v, w, i); else add_undirected(u, v, w, i); } } }; template <typename T> using tree = graph<T>; } // namespace haar_lib #line 5 "Mylib/Graph/TreeUtils/lca_doubling.cpp" namespace haar_lib { template <typename T> class lowest_common_ancestor_doubling { int n_, log2n_; std::vector<std::vector<int>> parent_; std::vector<int> depth_; void dfs(const tree<T> &tr, int cur, int par, int d) { parent_[cur][0] = par; depth_[cur] = d; for (auto &e : tr[cur]) { if (e.to != par) { dfs(tr, e.to, cur, d + 1); } } } public: lowest_common_ancestor_doubling() {} lowest_common_ancestor_doubling(const tree<T> &tr, int root) : n_(tr.size()), log2n_((int) ceil(log2(n_)) + 1), parent_(n_, std::vector<int>(log2n_)), depth_(n_) { dfs(tr, root, -1, 0); for (int k = 0; k < log2n_ - 1; ++k) { for (int v = 0; v < n_; ++v) { if (parent_[v][k] == -1) parent_[v][k + 1] = -1; else parent_[v][k + 1] = parent_[parent_[v][k]][k]; } } } int lca(int a, int b) const { if (depth_[a] >= depth_[b]) std::swap(a, b); for (int k = 0; k < log2n_; ++k) { if ((depth_[b] - depth_[a]) >> k & 1) b = parent_[b][k]; } if (a == b) return a; for (int k = log2n_; --k >= 0;) { if (parent_[a][k] != parent_[b][k]) { a = parent_[a][k]; b = parent_[b][k]; } } return parent_[a][0]; } int operator()(int a, int b) const { return lca(a, b); } T distance(int u, int v, const std::vector<T> &dist) const { return dist[u] + dist[v] - 2 * dist[lca(u, v)]; } }; } // namespace haar_lib