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#include "graph/shortest-path/dijkstra-fibonacchi-heap.hpp"
負辺のないグラフで単一始点全点間最短路を求めるアルゴリズム.
通常の dijkstra 法では std::priority_queue
を使用していたが, これをフィボナッチヒープにすることで計算量を落とせる(実用上早くなるかは知らない).
dijkstra_fibonacchi_heap(g, s)
: 重み付きグラフ g
で, 頂点 s
から全点間の最短距離を求める. 到達できない頂点には, 型の最大値が格納される.#pragma once
#include "../../structure/heap/fibonacchi-heap.hpp"
#include "../graph-template.hpp"
/**
* @brief Dijkstra-Fibonacchi-Heap(単一始点最短路)
*
*/
template <typename T>
vector<T> dijkstra_fibonacchi_heap(Graph<T> &g, int s) {
const auto INF = numeric_limits<T>::max();
using Heap = FibonacchiHeap<T, int>;
using Node = typename Heap::Node;
Heap heap;
vector<Node *> keep(g.size(), nullptr);
vector<T> dist;
dist.assign(g.size(), INF);
dist[s] = 0;
keep[s] = heap.push(dist[s], s);
while (!heap.empty()) {
T cost;
int idx;
tie(cost, idx) = heap.pop();
if (dist[idx] < cost) continue;
for (auto &e : g[idx]) {
auto next_cost = cost + e.cost;
if (dist[e.to] <= next_cost) continue;
if (keep[e.to] == nullptr) {
dist[e.to] = next_cost;
keep[e.to] = heap.push(dist[e.to], e.to);
} else {
T d = dist[e.to] - next_cost;
heap.decrease_key(keep[e.to], d);
dist[e.to] -= d;
}
}
}
return dist;
}
#line 2 "graph/shortest-path/dijkstra-fibonacchi-heap.hpp"
#line 1 "structure/heap/fibonacchi-heap.hpp"
/**
* @brief Fibonacchi-Heap(フィボナッチヒープ)
* @see https://www.cs.princeton.edu/~wayne/teaching/fibonacci-heap.pdf
*/
template <typename key_t, typename val_t>
struct FibonacchiHeap {
struct Node {
key_t key;
val_t val;
Node *left, *right, *child, *par;
int sz;
bool mark;
Node(const key_t &key, const val_t &val)
: key(key),
val(val),
left(this),
right(this),
par(nullptr),
child(nullptr),
sz(0),
mark(false) {}
};
Node *root;
size_t sz;
vector<Node *> rank;
FibonacchiHeap() : root(nullptr), sz(0) {}
size_t size() const { return sz; }
bool empty() const { return sz == 0; }
void update_min(Node *t) {
if (!root || t->key < root->key) {
root = t;
}
}
void concat(Node *&r, Node *t) {
if (!r) {
r = t;
} else {
t->left->right = r->right;
r->right->left = t->left;
t->left = r;
r->right = t;
}
}
void delete_node(Node *t) {
t->left->right = t->right;
t->right->left = t->left;
t->left = t;
t->right = t;
}
Node *push(const key_t &key, const val_t &val) {
++sz;
auto node = new Node(key, val);
concat(root, node);
update_min(node);
return node;
}
Node *consolidate(Node *s, Node *t) {
if (root == s || s->key < t->key) {
delete_node(t);
++s->sz;
t->par = s;
concat(s->child, t);
return s;
} else {
delete_node(s);
++t->sz;
s->par = t;
concat(t->child, s);
return t;
}
}
pair<key_t, val_t> pop() {
--sz;
Node *rem = root;
auto ret = make_pair(rem->key, rem->val);
{
root = root->left == root ? nullptr : root->left;
delete_node(rem);
}
if (rem->child) {
concat(root, rem->child);
}
if (root) {
{
Node *base = root, *cur = base;
do {
cur->par = nullptr;
update_min(cur);
cur = cur->right;
} while (cur != base);
}
{
Node *base = root;
int last = -1;
do {
Node *nxt = base->right;
while (base->sz < rank.size() && rank[base->sz]) {
Node *u = rank[base->sz];
rank[base->sz] = nullptr;
base = consolidate(u, base);
}
if (base->sz >= rank.size()) rank.resize(base->sz + 1);
last = max(last, base->sz);
rank[base->sz] = base;
base = nxt;
} while (base != root);
for (int i = last; i >= 0; i--) rank[i] = nullptr;
}
}
return ret;
}
inline void mark_dfs(Node *t) {
if (!t->par) {
t->mark = false;
} else if (t->mark) {
mark_dfs(t->par);
t->par->child = t->left == t ? nullptr : t->left;
delete_node(t);
t->sz--;
t->mark = false;
t->par = nullptr;
concat(root, t);
} else {
t->mark = true;
t->sz--;
}
}
void decrease_key(Node *t, const key_t &d) {
t->key -= d;
if (!t->par) {
update_min(t);
return;
}
if (t->par->key <= t->key) {
return;
}
t->sz++;
t->mark = true;
mark_dfs(t);
update_min(t);
}
};
#line 2 "graph/graph-template.hpp"
/**
* @brief Graph Template(グラフテンプレート)
*/
template <typename T = int>
struct Edge {
int from, to;
T cost;
int idx;
Edge() = default;
Edge(int from, int to, T cost = 1, int idx = -1)
: from(from), to(to), cost(cost), idx(idx) {}
operator int() const { return to; }
};
template <typename T = int>
struct Graph {
vector<vector<Edge<T> > > g;
int es;
Graph() = default;
explicit Graph(int n) : g(n), es(0) {}
size_t size() const { return g.size(); }
void add_directed_edge(int from, int to, T cost = 1) {
g[from].emplace_back(from, to, cost, es++);
}
void add_edge(int from, int to, T cost = 1) {
g[from].emplace_back(from, to, cost, es);
g[to].emplace_back(to, from, cost, es++);
}
void read(int M, int padding = -1, bool weighted = false,
bool directed = false) {
for (int i = 0; i < M; i++) {
int a, b;
cin >> a >> b;
a += padding;
b += padding;
T c = T(1);
if (weighted) cin >> c;
if (directed)
add_directed_edge(a, b, c);
else
add_edge(a, b, c);
}
}
inline vector<Edge<T> > &operator[](const int &k) { return g[k]; }
inline const vector<Edge<T> > &operator[](const int &k) const { return g[k]; }
};
template <typename T = int>
using Edges = vector<Edge<T> >;
#line 5 "graph/shortest-path/dijkstra-fibonacchi-heap.hpp"
/**
* @brief Dijkstra-Fibonacchi-Heap(単一始点最短路)
*
*/
template <typename T>
vector<T> dijkstra_fibonacchi_heap(Graph<T> &g, int s) {
const auto INF = numeric_limits<T>::max();
using Heap = FibonacchiHeap<T, int>;
using Node = typename Heap::Node;
Heap heap;
vector<Node *> keep(g.size(), nullptr);
vector<T> dist;
dist.assign(g.size(), INF);
dist[s] = 0;
keep[s] = heap.push(dist[s], s);
while (!heap.empty()) {
T cost;
int idx;
tie(cost, idx) = heap.pop();
if (dist[idx] < cost) continue;
for (auto &e : g[idx]) {
auto next_cost = cost + e.cost;
if (dist[e.to] <= next_cost) continue;
if (keep[e.to] == nullptr) {
dist[e.to] = next_cost;
keep[e.to] = heap.push(dist[e.to], e.to);
} else {
T d = dist[e.to] - next_cost;
heap.decrease_key(keep[e.to], d);
dist[e.to] -= d;
}
}
}
return dist;
}