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#include "Library/Tree/RerootingDP.hpp"Attention: このドキュメントは未完成です。
木のすべての頂点を根としたときの DP の値を効率的に計算するデータ構造です。
各頂点を根とした場合の DP を愚直に計算すると $\textrm{O}(N^2)$ かかりますが、全方位木 DP を用いることで $\textrm{O}(N)$ で計算できます。
RerootingDP(Graph<CostType> &tree, Fsub merge, Gsub add, const Monoid monoid_identity, Vertex r = 0)
tree に対して全方位木 DP を行います(辺属性のみを考慮)。merge: (Monoid, Monoid) -> Monoid - モノイド同士の二項演算add: (Monoid, CostType) -> Monoid - モノイドと辺コストの二項演算monoid_identity: モノイドの単位元r: 初期の根(デフォルトは頂点 0)型定義
Fsub = function<Monoid(Monoid, Monoid)>Gsub = function<Monoid(Monoid, CostType)>制約
merge と add はモノイドの演算を満たす計算量
RerootingDP(Graph<CostType> &tree, F merge, G add, H finalize, const Monoid monoid_identity, Vertex r = 0)
tree に対して全方位木 DP を行います(頂点属性を含む)。merge: (Monoid, Monoid, Vertex) -> Monoid - モノイド同士の二項演算(頂点情報を利用)add: (Monoid, CostType, Vertex) -> Monoid - モノイドと辺コストの二項演算(頂点情報を利用)finalize: (Monoid, Vertex) -> Monoid - 頂点が根のときの最終処理monoid_identity: モノイドの単位元r: 初期の根(デフォルトは頂点 0)型定義
F = function<Monoid(Monoid, Monoid, Vertex)>G = function<Monoid(Monoid, CostType, Vertex)>H = function<Monoid(Monoid, Vertex)>制約
merge, add, finalize はモノイドの演算を満たす計算量
vector<Monoid> &GetAllAnswer()
計算量
Monoid operator[](Vertex v)
const Monoid operator[](Vertex v) const
計算量
void Print() const
計算量
#include "Tree.hpp"
template<typename WeightType, typename Monoid>
class RerootingDP{
public:
using F = function<Monoid(Monoid, Monoid, Vertex)>;
using G = function<Monoid(Monoid, WeightType, Vertex)>;
using H = function<Monoid(Monoid, Vertex)>;
using Fsub = function<Monoid(Monoid, Monoid)>;
using Gsub = function<Monoid(Monoid, WeightType)>;
RerootingDP(Graph<WeightType> &tree, Fsub merge, Gsub add, const Monoid monoid_identity, Vertex r = 0) :
T(tree), n(tree.VertexSize()), parent(CalculateTreeParent(tree, r)), cost(CalculateTreeCost(tree, r)), child(RootedTreeAdjacentList(tree, r)),
merge_sub_(merge), add_sub_(add), id_(monoid_identity){
merge_ = [&](Monoid x, Monoid y, Vertex i){return merge_sub_(x, y);};
add_ = [&](Monoid x, WeightType y, Vertex i){return add_sub_(x, y);};
finalize_ = [](Monoid x, Vertex i){return x;};
solve(r);
}
RerootingDP(Graph<WeightType> &tree, F merge, G add, H finalize, const Monoid monoid_identity, Vertex r = 0) :
T(tree), n(tree.VertexSize()), parent(CalculateTreeParent(tree, r)), cost(CalculateTreeCost(tree, r)), child(RootedTreeAdjacentList(tree, r)),
merge_(merge), add_(add), finalize_(finalize), id_(monoid_identity){
solve(r);
}
vector<Monoid> &GetAllAnswer(){
return dp_;
}
Monoid operator[](Vertex v){
return dp_[v];
}
const Monoid operator[](Vertex v) const {
return dp_[v];
}
void Print() const {
cerr << "# dp table :";
for(int i = 0; i < n; ++i){
cerr << " " << dp_[i];
}
cerr << '\n';
cerr << "# subtree_dp table" << '\n';
for(int i = 0; i < n; ++i){
cerr << "# vertex " << i << '\n';
cerr << "# subtree_dp :";
for(int j = 0; j < subtree_dp_[i].size(); ++j){
cerr << " " << subtree_dp_[i][j];
}
cerr << '\n';
cerr << "# left_cum :";
for(int j = 0; j < left_cum_[i].size(); ++j){
cerr << " " << left_cum_[i][j];
}
cerr << '\n';
cerr << "# right_cum :";
for(int j = 0; j < right_cum_[i].size(); ++j){
cerr << " " << right_cum_[i][j];
}
cerr << '\n';
}
}
private:
Graph<WeightType> &T;
int n;
vector<Vertex> parent;
vector<WeightType> cost;
vector<vector<Vertex>> child;
vector<Monoid> dp_;
vector<vector<Monoid>> subtree_dp_, left_cum_, right_cum_;
const Monoid id_;
F merge_;
G add_;
H finalize_;
const Fsub merge_sub_;
const Gsub add_sub_;
Monoid dfs(Vertex v, bool root = false){
Monoid ret = id_;
for(auto u : child[v]){
Monoid res = dfs(u);
subtree_dp_[v].push_back(res);
ret = merge_(ret, res, v);
}
if(root) ret = finalize_(ret, v);
else ret = add_(ret, cost[v], v);
return ret;
}
void solve(Vertex r){
dp_.resize(n, id_);
subtree_dp_.resize(n, vector<Monoid>{id_});
left_cum_.resize(n);
right_cum_.resize(n);
dp_[r] = dfs(r, true);
int root_size = subtree_dp_[r].size();
left_cum_[r].resize(root_size + 1);
left_cum_[r].front() = id_;
for(int i = 1; i < root_size; ++i){
left_cum_[r][i] = merge_(left_cum_[r][i - 1], subtree_dp_[r][i], r);
}
right_cum_[r].resize(root_size + 1);
right_cum_[r].back() = id_;
for(int i = root_size - 1; i - 1 >= 0; --i){
right_cum_[r][i] = merge_(right_cum_[r][i + 1], subtree_dp_[r][i], r);
}
queue<tuple<int, int, int>> que;
for(int i = 0; i < child[r].size(); ++i){
que.push({child[r][i], r, i + 1});
}
while(que.size()){
auto [v, p, idx] = que.front(); que.pop();
Monoid ret = id_;
ret = merge_(ret, left_cum_[p][idx - 1], v);
ret = merge_(ret, right_cum_[p][idx + 1], v);
ret = add_(ret, cost[v], p);
subtree_dp_[v].push_back(ret);
for(int i = 1; i + 1 < subtree_dp_[v].size(); ++i){
ret = merge_(ret, subtree_dp_[v][i], v);
}
dp_[v] = finalize_(ret, v);
int c = subtree_dp_[v].size();
left_cum_[v].resize(c + 1);
left_cum_[v][0] = id_;
for(int i = 1; i < c; ++i){
left_cum_[v][i] = merge_(left_cum_[v][i - 1], subtree_dp_[v][i], v);
}
right_cum_[v].resize(c + 1);
right_cum_[v].back() = id_;
for(int i = c - 1; i - 1 >= 0; --i){
right_cum_[v][i] = merge_(right_cum_[v][i + 1], subtree_dp_[v][i], v);
}
for(int i = 0; i < child[v].size(); ++i){
que.push({child[v][i], v, i + 1});
}
}
}
};#line 2 "Library/Tree/Tree.hpp"
#line 2 "Library/Graph/Graph.hpp"
#line 2 "Library/Common.hpp"
/**
* @file Common.hpp
*/
#include <algorithm>
#include <array>
#include <bitset>
#include <cassert>
#include <cstdint>
#include <deque>
#include <functional>
#include <iomanip>
#include <iostream>
#include <limits>
#include <map>
#include <numeric>
#include <queue>
#include <set>
#include <stack>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
using namespace std;
using ll = int64_t;
using ull = uint64_t;
constexpr const ll INF = (1LL << 62) - (3LL << 30) - 1;
#line 4 "Library/Graph/Graph.hpp"
using Vertex = int;
template<typename WeightType = int32_t>
struct Edge{
public:
Edge() = default;
Edge(Vertex from_, Vertex to_, WeightType weight_ = 1, int idx_ = -1) :
from(from_), to(to_), cost(weight_), idx(idx_){}
bool operator<(const Edge<WeightType> &e) const {return cost < e.cost;}
operator int() const {return to;}
Vertex from, to;
WeightType cost;
int idx;
};
template<typename WeightType = int32_t>
class Graph{
public:
Graph() = default;
Graph(int V) : edge_size_(0), adjacent_list_(V){}
inline void AddUndirectedEdge(Vertex u, Vertex v, WeightType w = 1){
int idx = edge_size_++;
adjacent_list_[u].push_back(Edge<WeightType>(u, v, w, idx));
adjacent_list_[v].push_back(Edge<WeightType>(v, u, w, idx));
}
inline void AddDirectedEdge(Vertex u, Vertex v, WeightType w = 1){
int idx = edge_size_++;
adjacent_list_[u].push_back(Edge<WeightType>(u, v, w, idx));
}
inline size_t VertexSize() const {
return adjacent_list_.size();
}
inline size_t EdgeSize() const {
return edge_size_;
}
inline vector<Edge<WeightType>> &operator[](const Vertex v){
return adjacent_list_[v];
}
inline const vector<Edge<WeightType>> &operator[](const Vertex v) const {
return adjacent_list_[v];
}
private:
size_t edge_size_;
vector<vector<Edge<WeightType>>> adjacent_list_;
};
template<typename WeightType = int32_t>
Graph<WeightType> InputGraph(int N, int M, int padding = -1, bool weighted = false, bool directed = false){
Graph<WeightType> G(N);
for(int i = 0; i < M; ++i){
Vertex u, v; WeightType w = 1;
cin >> u >> v, u += padding, v += padding;
if(weighted) cin >> w;
if(directed) G.AddDirectedEdge(u, v, w);
else G.AddUndirectedEdge(u, v, w);
}
return G;
}
#line 4 "Library/Tree/Tree.hpp"
template<typename WeightType = int32_t>
Graph<WeightType> InputTree(int V, int padding = -1, bool weighted = false){
Graph<WeightType> G(V);
for(int i = 0; i < V - 1; ++i){
Vertex u, v; WeightType w = 1;
cin >> u >> v, u += padding, v += padding;
if(weighted) cin >> w;
G.AddUndirectedEdge(u, v, w);
}
return G;
}
template<typename WeightType = int32_t>
Graph<WeightType> InputRootedTreeChild(int V, int padding = -1){
Graph<WeightType> G(V);
for(Vertex u = 0; u < V; ++u){
int k; cin >> k;
for(int i = 0; i < k; ++i){
Vertex v; cin >> v, v += padding;
G.AddUndirectedEdge(u, v);
}
}
return G;
}
template<typename WeightType = int32_t>
Graph<WeightType> InputRootedTreeParent(int V, int padding = -1){
Graph<WeightType> G(V);
for(Vertex u = 1; u < V; ++u){
Vertex v; cin >> v, v += padding;
G.AddUndirectedEdge(u, v);
}
return G;
}
template<typename WeightType = int32_t>
vector<vector<Vertex>> RootedTreeAdjacentList(const Graph<WeightType> &T, const Vertex r = 0){
int V = T.VertexSize();
vector<vector<Vertex>> ret(V);
auto rec = [&](auto &self, Vertex u, Vertex p) -> void {
for(Vertex v : T[u]){
if(v == p) continue;
ret[u].push_back(v);
self(self, v, u);
}
};
rec(rec, r, -1);
return ret;
}
template<typename WeightType>
vector<Vertex> CalculateTreeParent(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<Vertex> ret(V, -1);
auto rec = [&](auto &self, Vertex u) -> void {
for(Vertex v : T[u]){
if(v == ret[u]) continue;
ret[v] = u;
self(self, v);
}
};
rec(rec, r);
return ret;
}
template<typename WeightType>
vector<WeightType> CalculateTreeCost(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<WeightType> ret(V);
auto rec = [&](auto &self, Vertex u, Vertex p) -> void {
for(const Edge<WeightType> &e : T[u]){
Vertex v = e.to;
if(v == p) continue;
ret[v] = e.cost;
self(self, v, u);
}
};
rec(rec, r, -1);
return ret;
}
template<typename WeightType>
vector<int> CalculateTreeDepth(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<int> ret(V, 0);
auto rec = [&](auto &self, Vertex u, Vertex p, int d) -> void {
ret[u] = d;
for(Vertex v : T[u]){
if(v == p) continue;
self(self, v, u, d + 1);
}
};
rec(rec, r, -1, 0);
return ret;
}
template<typename WeightType>
vector<WeightType> CalculateTreeDistance(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<WeightType> ret(V, WeightType(INF));
auto rec = [&](auto &self, Vertex u) -> void {
for(const Edge<WeightType> &e : T[u]){
if(ret[e.to] > ret[u] + e.cost){
ret[e.to] = ret[u] + e.cost;
self(self, e.to);
}
}
};
ret[r] = 0;
rec(rec, r);
return ret;
}
template<typename WeightType>
vector<int> CalculateSubtreeSize(Graph<WeightType> &tree, Vertex r = 0){
int V = tree.VertexSize();
vector<int> ret(V, 1);
auto rec = [&](auto self, Vertex u, Vertex p) -> int {
for(const int v : tree[u]){
if(v == p) continue;
ret[u] += self(self, v, u);
}
return ret[u];
};
rec(rec, r, -1);
return ret;
}
#line 2 "Library/Tree/RerootingDP.hpp"
template<typename WeightType, typename Monoid>
class RerootingDP{
public:
using F = function<Monoid(Monoid, Monoid, Vertex)>;
using G = function<Monoid(Monoid, WeightType, Vertex)>;
using H = function<Monoid(Monoid, Vertex)>;
using Fsub = function<Monoid(Monoid, Monoid)>;
using Gsub = function<Monoid(Monoid, WeightType)>;
RerootingDP(Graph<WeightType> &tree, Fsub merge, Gsub add, const Monoid monoid_identity, Vertex r = 0) :
T(tree), n(tree.VertexSize()), parent(CalculateTreeParent(tree, r)), cost(CalculateTreeCost(tree, r)), child(RootedTreeAdjacentList(tree, r)),
merge_sub_(merge), add_sub_(add), id_(monoid_identity){
merge_ = [&](Monoid x, Monoid y, Vertex i){return merge_sub_(x, y);};
add_ = [&](Monoid x, WeightType y, Vertex i){return add_sub_(x, y);};
finalize_ = [](Monoid x, Vertex i){return x;};
solve(r);
}
RerootingDP(Graph<WeightType> &tree, F merge, G add, H finalize, const Monoid monoid_identity, Vertex r = 0) :
T(tree), n(tree.VertexSize()), parent(CalculateTreeParent(tree, r)), cost(CalculateTreeCost(tree, r)), child(RootedTreeAdjacentList(tree, r)),
merge_(merge), add_(add), finalize_(finalize), id_(monoid_identity){
solve(r);
}
vector<Monoid> &GetAllAnswer(){
return dp_;
}
Monoid operator[](Vertex v){
return dp_[v];
}
const Monoid operator[](Vertex v) const {
return dp_[v];
}
void Print() const {
cerr << "# dp table :";
for(int i = 0; i < n; ++i){
cerr << " " << dp_[i];
}
cerr << '\n';
cerr << "# subtree_dp table" << '\n';
for(int i = 0; i < n; ++i){
cerr << "# vertex " << i << '\n';
cerr << "# subtree_dp :";
for(int j = 0; j < subtree_dp_[i].size(); ++j){
cerr << " " << subtree_dp_[i][j];
}
cerr << '\n';
cerr << "# left_cum :";
for(int j = 0; j < left_cum_[i].size(); ++j){
cerr << " " << left_cum_[i][j];
}
cerr << '\n';
cerr << "# right_cum :";
for(int j = 0; j < right_cum_[i].size(); ++j){
cerr << " " << right_cum_[i][j];
}
cerr << '\n';
}
}
private:
Graph<WeightType> &T;
int n;
vector<Vertex> parent;
vector<WeightType> cost;
vector<vector<Vertex>> child;
vector<Monoid> dp_;
vector<vector<Monoid>> subtree_dp_, left_cum_, right_cum_;
const Monoid id_;
F merge_;
G add_;
H finalize_;
const Fsub merge_sub_;
const Gsub add_sub_;
Monoid dfs(Vertex v, bool root = false){
Monoid ret = id_;
for(auto u : child[v]){
Monoid res = dfs(u);
subtree_dp_[v].push_back(res);
ret = merge_(ret, res, v);
}
if(root) ret = finalize_(ret, v);
else ret = add_(ret, cost[v], v);
return ret;
}
void solve(Vertex r){
dp_.resize(n, id_);
subtree_dp_.resize(n, vector<Monoid>{id_});
left_cum_.resize(n);
right_cum_.resize(n);
dp_[r] = dfs(r, true);
int root_size = subtree_dp_[r].size();
left_cum_[r].resize(root_size + 1);
left_cum_[r].front() = id_;
for(int i = 1; i < root_size; ++i){
left_cum_[r][i] = merge_(left_cum_[r][i - 1], subtree_dp_[r][i], r);
}
right_cum_[r].resize(root_size + 1);
right_cum_[r].back() = id_;
for(int i = root_size - 1; i - 1 >= 0; --i){
right_cum_[r][i] = merge_(right_cum_[r][i + 1], subtree_dp_[r][i], r);
}
queue<tuple<int, int, int>> que;
for(int i = 0; i < child[r].size(); ++i){
que.push({child[r][i], r, i + 1});
}
while(que.size()){
auto [v, p, idx] = que.front(); que.pop();
Monoid ret = id_;
ret = merge_(ret, left_cum_[p][idx - 1], v);
ret = merge_(ret, right_cum_[p][idx + 1], v);
ret = add_(ret, cost[v], p);
subtree_dp_[v].push_back(ret);
for(int i = 1; i + 1 < subtree_dp_[v].size(); ++i){
ret = merge_(ret, subtree_dp_[v][i], v);
}
dp_[v] = finalize_(ret, v);
int c = subtree_dp_[v].size();
left_cum_[v].resize(c + 1);
left_cum_[v][0] = id_;
for(int i = 1; i < c; ++i){
left_cum_[v][i] = merge_(left_cum_[v][i - 1], subtree_dp_[v][i], v);
}
right_cum_[v].resize(c + 1);
right_cum_[v].back() = id_;
for(int i = c - 1; i - 1 >= 0; --i){
right_cum_[v][i] = merge_(right_cum_[v][i + 1], subtree_dp_[v][i], v);
}
for(int i = 0; i < child[v].size(); ++i){
que.push({child[v][i], v, i + 1});
}
}
}
};