AIM Tech Round 4 (Div. 1) D. Dynamic Shortest Path
解法
最初にダイクストラで距離を求めておき、各クエリごとにダイクストラで追加で増えた分の距離を計算して加算していく。各クエリごとに距離は 1 しか増えないので、キューを距離の数だけ用意すれば、クエリごとのダイクストラの計算量は になる。
よって、最初のダイクストラが クエリごとのダイクストラが全部で となるので、全体で で とかなので、 10 秒あれば間に合う(いいえ)。
コード
use std::io; use std::str; use std::usize; use std::collections::BinaryHeap; use std::cmp::Ordering; use std::collections::BTreeMap; use std::collections::VecDeque; use std::cmp; static INF: i64 = 1 << 60; static MAX_REQ: usize = 2000000; fn main() { let start = 0; let (n, m, q) = { let v = read_values::<usize>(); (v[0], v[1], v[2]) }; let mut graph: Vec<Vec<Edge>> = vec![Vec::new(); n]; let mut edges = Vec::new(); for _ in 0..m { let (from, to, cost) = { let v = read_values::<usize>(); (v[0] - 1, v[1] - 1, v[2] as i64) }; edges.push((from, graph[from].len())); graph[from].push(Edge { to: to, cost: cost }); } let mut shortest_dist = dijkstra(start, &graph); let mut deque = vec![VecDeque::new(); MAX_REQ]; let mut add = vec![INF; n]; let mut modify_queries = Vec::new(); for _ in 0..q { let queries = read_values::<usize>(); if queries[0] == 1 { let to = queries[1] - 1; let num = modify_queries.len(); for edge_idx in &modify_queries { let (from, idx): (usize, usize) = edges[*edge_idx]; unsafe { graph[from].get_unchecked_mut(idx).cost += 1; } } modify_queries.clear(); add[start] = 0; deque[0].push_back(start); for dist in 0..(num + 1) { while !deque[dist].is_empty() { let cur = deque[dist].pop_front().unwrap(); if add[cur] != dist as i64 { continue; } for e in &graph[cur] { let d = shortest_dist[cur] + add[cur] - shortest_dist[e.to] + e.cost; if d as usize <= num && add[e.to] > d { add[e.to] = d; deque[d as usize].push_back(e.to); } } } } for i in 0..n { shortest_dist[i] = cmp::min(shortest_dist[i] + add[i], INF); add[i] = INF; } if shortest_dist[to] >= INF { println!("-1"); } else { println!("{}", shortest_dist[to]); } } else { let num = queries[1]; for i in 0..num { modify_queries.push(queries[i + 2] - 1); } } } } fn dijkstra(start: usize, graph: &Vec<Vec<Edge>>) -> Vec<i64> { let n = graph.len(); let mut heap = BinaryHeap::<Edge>::new(); heap.push(Edge { to: start, cost: 0 }); let mut dist = vec![INF; n]; dist[start] = 0; while !heap.is_empty() { let p: Edge = heap.pop().unwrap(); for e in &graph[p.to] { if dist[e.to] > e.cost + dist[p.to] { dist[e.to] = e.cost + dist[p.to]; heap.push(Edge { to: e.to, cost: dist[e.to] }); } } } dist } #[derive(Copy, Clone, Eq, PartialEq)] struct Edge { to: usize, cost: i64, } impl Ord for Edge { fn cmp(&self, other: &Edge) -> Ordering { other.cost.cmp(&self.cost) } } impl PartialOrd for Edge { fn partial_cmp(&self, other: &Edge) -> Option<Ordering> { Some(self.cmp(other)) } } fn read_line() -> String { let stdin = io::stdin(); let mut buf = String::new(); stdin.read_line(&mut buf).unwrap(); buf } fn read_values<T>() -> Vec<T> where T: std::str::FromStr, T::Err: std::fmt::Debug { read_line() .split(' ') .map(|a| a.trim().parse().unwrap()) .collect() }