Cheapest Flights Within K Stops












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so ive seen many solutions for the problem. here is a link to the full problem https://leetcode.com/problems/cheapest-flights-within-k-stops/description/.



It asks for the cheapest path from src to dest with upto K stops. most solutions use bellman ford (slightly modified with k+1 itterations) to solve it. The only way i could get BF to work, is by modifying it like i found in many online solutions by using a TEMP storage vector (see below) . the vector temp_dp(dp) confuses me.. what ive seen from BFs algorithm is that you relax an edge U->V and change V in the distance vector. here theyre changing it in a temp vector and reassigning it (which makes it work) can anyone explain how this works.



int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int K) {
vector<int> dp(n, INT_MAX);
dp[src] = 0;
for(int z = 0; z <= K; z++){
vector<int> temp_dp(dp);
for(auto e: flights) {
if (dp[e[0]] < INT_MAX) {
temp_dp[e[1]] = min(temp_dp[e[1]], dp[e[0]] + e[2]);
}
}
dp = temp_dp;
}
return dp[dst] == INT_MAX ? -1 : dp[dst];
}









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    0















    so ive seen many solutions for the problem. here is a link to the full problem https://leetcode.com/problems/cheapest-flights-within-k-stops/description/.



    It asks for the cheapest path from src to dest with upto K stops. most solutions use bellman ford (slightly modified with k+1 itterations) to solve it. The only way i could get BF to work, is by modifying it like i found in many online solutions by using a TEMP storage vector (see below) . the vector temp_dp(dp) confuses me.. what ive seen from BFs algorithm is that you relax an edge U->V and change V in the distance vector. here theyre changing it in a temp vector and reassigning it (which makes it work) can anyone explain how this works.



    int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int K) {
    vector<int> dp(n, INT_MAX);
    dp[src] = 0;
    for(int z = 0; z <= K; z++){
    vector<int> temp_dp(dp);
    for(auto e: flights) {
    if (dp[e[0]] < INT_MAX) {
    temp_dp[e[1]] = min(temp_dp[e[1]], dp[e[0]] + e[2]);
    }
    }
    dp = temp_dp;
    }
    return dp[dst] == INT_MAX ? -1 : dp[dst];
    }









    share|improve this question

























      0












      0








      0








      so ive seen many solutions for the problem. here is a link to the full problem https://leetcode.com/problems/cheapest-flights-within-k-stops/description/.



      It asks for the cheapest path from src to dest with upto K stops. most solutions use bellman ford (slightly modified with k+1 itterations) to solve it. The only way i could get BF to work, is by modifying it like i found in many online solutions by using a TEMP storage vector (see below) . the vector temp_dp(dp) confuses me.. what ive seen from BFs algorithm is that you relax an edge U->V and change V in the distance vector. here theyre changing it in a temp vector and reassigning it (which makes it work) can anyone explain how this works.



      int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int K) {
      vector<int> dp(n, INT_MAX);
      dp[src] = 0;
      for(int z = 0; z <= K; z++){
      vector<int> temp_dp(dp);
      for(auto e: flights) {
      if (dp[e[0]] < INT_MAX) {
      temp_dp[e[1]] = min(temp_dp[e[1]], dp[e[0]] + e[2]);
      }
      }
      dp = temp_dp;
      }
      return dp[dst] == INT_MAX ? -1 : dp[dst];
      }









      share|improve this question














      so ive seen many solutions for the problem. here is a link to the full problem https://leetcode.com/problems/cheapest-flights-within-k-stops/description/.



      It asks for the cheapest path from src to dest with upto K stops. most solutions use bellman ford (slightly modified with k+1 itterations) to solve it. The only way i could get BF to work, is by modifying it like i found in many online solutions by using a TEMP storage vector (see below) . the vector temp_dp(dp) confuses me.. what ive seen from BFs algorithm is that you relax an edge U->V and change V in the distance vector. here theyre changing it in a temp vector and reassigning it (which makes it work) can anyone explain how this works.



      int findCheapestPrice(int n, vector<vector<int>>& flights, int src, int dst, int K) {
      vector<int> dp(n, INT_MAX);
      dp[src] = 0;
      for(int z = 0; z <= K; z++){
      vector<int> temp_dp(dp);
      for(auto e: flights) {
      if (dp[e[0]] < INT_MAX) {
      temp_dp[e[1]] = min(temp_dp[e[1]], dp[e[0]] + e[2]);
      }
      }
      dp = temp_dp;
      }
      return dp[dst] == INT_MAX ? -1 : dp[dst];
      }






      graph shortest-path bellman-ford






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      asked Nov 21 '18 at 2:43









      Omar HamdanOmar Hamdan

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