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发布于 2024-06-17 01:03:34 字数 8661 浏览 0 评论 0 收藏 0

787. Cheapest Flights Within K Stops

中文文档

Description

There are n cities connected by some number of flights. You are given an array flights where flights[i] = [fromi, toi, pricei] indicates that there is a flight from city fromi to city toi with cost pricei.

You are also given three integers src, dst, and k, return _the cheapest price from _src_ to _dst_ with at most _k_ stops. _If there is no such route, return_ _-1.

 

Example 1:

Input: n = 4, flights = [[0,1,100],[1,2,100],[2,0,100],[1,3,600],[2,3,200]], src = 0, dst = 3, k = 1
Output: 700
Explanation:
The graph is shown above.
The optimal path with at most 1 stop from city 0 to 3 is marked in red and has cost 100 + 600 = 700.
Note that the path through cities [0,1,2,3] is cheaper but is invalid because it uses 2 stops.

Example 2:

Input: n = 3, flights = [[0,1,100],[1,2,100],[0,2,500]], src = 0, dst = 2, k = 1
Output: 200
Explanation:
The graph is shown above.
The optimal path with at most 1 stop from city 0 to 2 is marked in red and has cost 100 + 100 = 200.

Example 3:

Input: n = 3, flights = [[0,1,100],[1,2,100],[0,2,500]], src = 0, dst = 2, k = 0
Output: 500
Explanation:
The graph is shown above.
The optimal path with no stops from city 0 to 2 is marked in red and has cost 500.

 

Constraints:

  • 1 <= n <= 100
  • 0 <= flights.length <= (n * (n - 1) / 2)
  • flights[i].length == 3
  • 0 <= fromi, toi < n
  • fromi != toi
  • 1 <= pricei <= 104
  • There will not be any multiple flights between two cities.
  • 0 <= src, dst, k < n
  • src != dst

Solutions

Solution 1

class Solution:
  def findCheapestPrice(
    self, n: int, flights: List[List[int]], src: int, dst: int, k: int
  ) -> int:
    INF = 0x3F3F3F3F
    dist = [INF] * n
    dist[src] = 0
    for _ in range(k + 1):
      backup = dist.copy()
      for f, t, p in flights:
        dist[t] = min(dist[t], backup[f] + p)
    return -1 if dist[dst] == INF else dist[dst]
class Solution {
  private static final int INF = 0x3f3f3f3f;

  public int findCheapestPrice(int n, int[][] flights, int src, int dst, int k) {
    int[] dist = new int[n];
    int[] backup = new int[n];
    Arrays.fill(dist, INF);
    dist[src] = 0;
    for (int i = 0; i < k + 1; ++i) {
      System.arraycopy(dist, 0, backup, 0, n);
      for (int[] e : flights) {
        int f = e[0], t = e[1], p = e[2];
        dist[t] = Math.min(dist[t], backup[f] + p);
      }
    }
    return dist[dst] == INF ? -1 : dist[dst];
  }
}
class Solution {
public:
  int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int k) {
    const int inf = 0x3f3f3f3f;
    vector<int> dist(n, inf);
    vector<int> backup;
    dist[src] = 0;
    for (int i = 0; i < k + 1; ++i) {
      backup = dist;
      for (auto& e : flights) {
        int f = e[0], t = e[1], p = e[2];
        dist[t] = min(dist[t], backup[f] + p);
      }
    }
    return dist[dst] == inf ? -1 : dist[dst];
  }
};
func findCheapestPrice(n int, flights [][]int, src int, dst int, k int) int {
  const inf = 0x3f3f3f3f
  dist := make([]int, n)
  backup := make([]int, n)
  for i := range dist {
    dist[i] = inf
  }
  dist[src] = 0
  for i := 0; i < k+1; i++ {
    copy(backup, dist)
    for _, e := range flights {
      f, t, p := e[0], e[1], e[2]
      dist[t] = min(dist[t], backup[f]+p)
    }
  }
  if dist[dst] == inf {
    return -1
  }
  return dist[dst]
}

Solution 2

class Solution:
  def findCheapestPrice(
    self, n: int, flights: List[List[int]], src: int, dst: int, k: int
  ) -> int:
    @cache
    def dfs(u, k):
      if u == dst:
        return 0
      if k <= 0:
        return inf
      k -= 1
      ans = inf
      for v, p in g[u]:
        ans = min(ans, dfs(v, k) + p)
      return ans

    g = defaultdict(list)
    for u, v, p in flights:
      g[u].append((v, p))
    ans = dfs(src, k + 1)
    return -1 if ans >= inf else ans
class Solution {
  private int[][] memo;
  private int[][] g;
  private int dst;
  private static final int INF = (int) 1e6;

  public int findCheapestPrice(int n, int[][] flights, int src, int dst, int k) {
    n += 10;
    memo = new int[n][n];
    for (int i = 0; i < n; ++i) {
      Arrays.fill(memo[i], -1);
    }
    g = new int[n][n];
    for (int[] e : flights) {
      g[e[0]][e[1]] = e[2];
    }
    this.dst = dst;
    int ans = dfs(src, k + 1);
    return ans >= INF ? -1 : ans;
  }

  private int dfs(int u, int k) {
    if (memo[u][k] != -1) {
      return memo[u][k];
    }
    if (u == dst) {
      return 0;
    }
    if (k <= 0) {
      return INF;
    }
    int ans = INF;
    for (int v = 0; v < g[u].length; ++v) {
      if (g[u][v] > 0) {
        ans = Math.min(ans, dfs(v, k - 1) + g[u][v]);
      }
    }
    memo[u][k] = ans;
    return ans;
  }
}
class Solution {
public:
  vector<vector<int>> memo;
  vector<vector<int>> g;
  int dst;
  int inf = 1e6;

  int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int k) {
    n += 10;
    memo.resize(n, vector<int>(n, -1));
    g.resize(n, vector<int>(n));
    for (auto& e : flights) g[e[0]][e[1]] = e[2];
    this->dst = dst;
    int ans = dfs(src, k + 1);
    return ans >= inf ? -1 : ans;
  }

  int dfs(int u, int k) {
    if (memo[u][k] != -1) return memo[u][k];
    if (u == dst) return 0;
    if (k <= 0) return inf;
    int ans = inf;
    for (int v = 0; v < g[u].size(); ++v)
      if (g[u][v] > 0)
        ans = min(ans, dfs(v, k - 1) + g[u][v]);
    memo[u][k] = ans;
    return memo[u][k];
  }
};
func findCheapestPrice(n int, flights [][]int, src int, dst int, k int) int {
  n += 10
  memo := make([][]int, n)
  g := make([][]int, n)
  for i := range memo {
    memo[i] = make([]int, n)
    g[i] = make([]int, n)
    for j := range memo[i] {
      memo[i][j] = -1
    }
  }

  for _, e := range flights {
    g[e[0]][e[1]] = e[2]
  }
  inf := int(1e6)
  var dfs func(u, k int) int
  dfs = func(u, k int) int {
    if memo[u][k] != -1 {
      return memo[u][k]
    }
    if u == dst {
      return 0
    }
    if k <= 0 {
      return inf
    }
    ans := inf
    for v, p := range g[u] {
      if p > 0 {
        ans = min(ans, dfs(v, k-1)+p)
      }
    }
    memo[u][k] = ans
    return ans
  }
  ans := dfs(src, k+1)
  if ans >= inf {
    return -1
  }
  return ans
}

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