Cheapest Flights Within K Stops: the idea to remember.
Find the cheapest directed flight route with at most k intermediate stops.
The core insight
Relax flights k plus one times using a separate copy of distances for each layer.
Why it works
Each layer adds at most one flight, so after k plus one layers only routes within the flight budget are considered.
The mistake to avoid
Reading newly updated distances in the same layer can incorrectly use extra flights. Stops and flights differ by one.
Commented Java solution
Use java.util.* imports and a surrounding solution class. Tree snippets assume the standard TreeNode definition; linked lists use ListNode and Clone Graph uses a Node with val and neighbors; Copy Random List uses Node with val, next and random. Read the input assumptions above.
// Java reference adapted from neetcode-gh/leetcode (MIT).
// Relax flights k plus one times using a separate copy of distances for each layer.
public int findCheapestPrice(
int n,
int[][] flights,
int src,
int dst,
int k
) {
int[] prices = new int[n];
Arrays.fill(prices, Integer.MAX_VALUE);
prices[src] = 0;
for (int i = 0; i <= k; i++) {
int[] temp = new int[n];
temp = Arrays.copyOf(prices, prices.length);
for (int j = 0; j < flights.length; j++) {
int s = flights[j][0];
int d = flights[j][1];
int p = flights[j][2];
if (prices[s] == Integer.MAX_VALUE) {
continue;
}
if (prices[s] + p < temp[d]) {
temp[d] = prices[s] + p;
}
}
prices = temp;
}
if (prices[dst] != Integer.MAX_VALUE) {
return prices[dst];
}
return -1;
}Java reference adapted from neetcode-gh/leetcode · MIT license
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Independent revision notes with credited Java references. Not affiliated with LeetCode or the source sheets.