This documentation is automatically generated by online-judge-tools/verification-helper
#include "src/graph/DirectedShortestCycle.hpp"| メンバ関数 | 効果 | 時間計算量 |
|---|---|---|
DirectedShortestCycle(n) |
$n$ 頂点 $0$ 辺のグラフとして初期化する. | $\mathrm{O}(n)$ |
add_edge(u, v, w) |
頂点 $u$ から $v$ への重み $w$ の有向辺を追加する. | $\mathrm{O}(1)$ |
solve(r) |
頂点 $r$ を含む最小重みサイクルの周長,頂点列,辺列を返す. | $\mathrm{O}(m \log n)$ |
#include <algorithm>
#include <cassert>
#include <limits>
#include <queue>
#include <tuple>
#include <vector>
template <typename T> struct DirectedShortestCycle {
struct edge {
int from, to;
T cost;
edge(int from, int to, T cost) : from(from), to(to), cost(cost) {}
};
std::vector<std::vector<int>> G;
std::vector<edge> edges;
DirectedShortestCycle(int n) : n(n), G(n) {}
void add_edge(int u, int v, T w) {
assert(0 <= u and u < n);
assert(0 <= v and v < n);
assert(w >= 0);
G[u].emplace_back(edges.size());
edges.emplace_back(u, v, w);
}
std::tuple<T, std::vector<int>, std::vector<int>> solve(int r) {
std::vector<int> prve(n, -1);
std::vector<T> dist(n, inf);
std::priority_queue<std::pair<T, int>, std::vector<std::pair<T, int>>, std::greater<>> pq;
for (const int& idx : G[r]) {
int u = edges[idx].to, w = edges[idx].cost;
if (w < dist[u]) {
dist[u] = w;
prve[u] = idx;
pq.emplace(dist[u], u);
}
}
while (not pq.empty()) {
auto [d, v] = pq.top();
pq.pop();
if (dist[v] < d) continue;
for (const int& idx : G[v]) {
int u = edges[idx].to, w = edges[idx].cost;
if (dist[u] <= dist[v] + w) continue;
dist[u] = dist[v] + w;
prve[u] = idx;
pq.emplace(dist[u], u);
}
}
if (dist[r] == inf) return {inf, {}, {}};
std::vector<int> vs, es;
vs.emplace_back(r);
while (true) {
int idx = prve[vs.back()];
es.emplace_back(idx);
vs.emplace_back(edges[idx].from);
if (vs.back() == r) break;
}
std::reverse(vs.begin(), vs.end());
std::reverse(es.begin(), es.end());
vs.pop_back();
return {dist[r], vs, es};
}
private:
constexpr static T inf = std::numeric_limits<T>::max() / 2;
int n;
};#line 1 "src/graph/DirectedShortestCycle.hpp"
#include <algorithm>
#include <cassert>
#include <limits>
#include <queue>
#include <tuple>
#include <vector>
template <typename T> struct DirectedShortestCycle {
struct edge {
int from, to;
T cost;
edge(int from, int to, T cost) : from(from), to(to), cost(cost) {}
};
std::vector<std::vector<int>> G;
std::vector<edge> edges;
DirectedShortestCycle(int n) : n(n), G(n) {}
void add_edge(int u, int v, T w) {
assert(0 <= u and u < n);
assert(0 <= v and v < n);
assert(w >= 0);
G[u].emplace_back(edges.size());
edges.emplace_back(u, v, w);
}
std::tuple<T, std::vector<int>, std::vector<int>> solve(int r) {
std::vector<int> prve(n, -1);
std::vector<T> dist(n, inf);
std::priority_queue<std::pair<T, int>, std::vector<std::pair<T, int>>, std::greater<>> pq;
for (const int& idx : G[r]) {
int u = edges[idx].to, w = edges[idx].cost;
if (w < dist[u]) {
dist[u] = w;
prve[u] = idx;
pq.emplace(dist[u], u);
}
}
while (not pq.empty()) {
auto [d, v] = pq.top();
pq.pop();
if (dist[v] < d) continue;
for (const int& idx : G[v]) {
int u = edges[idx].to, w = edges[idx].cost;
if (dist[u] <= dist[v] + w) continue;
dist[u] = dist[v] + w;
prve[u] = idx;
pq.emplace(dist[u], u);
}
}
if (dist[r] == inf) return {inf, {}, {}};
std::vector<int> vs, es;
vs.emplace_back(r);
while (true) {
int idx = prve[vs.back()];
es.emplace_back(idx);
vs.emplace_back(edges[idx].from);
if (vs.back() == r) break;
}
std::reverse(vs.begin(), vs.end());
std::reverse(es.begin(), es.end());
vs.pop_back();
return {dist[r], vs, es};
}
private:
constexpr static T inf = std::numeric_limits<T>::max() / 2;
int n;
};