Algoritmalar

Bellman-Ford

Graphs O(V · E) O(V)

Shortest paths from a source that also works with negative edge weights, by relaxing every edge V−1 times.

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Source
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Initialise every distance to ∞.

InvariantAfter k passes, every shortest path using at most k edges has been found. V−1 passes cover every simple path.

bellman-ford.c
#define V 6
#define INF 1000000
int bellmanFord(int graph[V][V], int src, int dist[V]) {
for (int i = 0; i < V; i++) dist[i] = INF;
dist[src] = 0;
for (int pass = 1; pass < V; pass++) {
for (int u = 0; u < V; u++) {
if (dist[u] == INF) continue;
for (int v = 0; v < V; v++) {
if (graph[u][v] &&
dist[u] + graph[u][v] < dist[v])
dist[v] = dist[u] + graph[u][v];
}
}
}
/* One extra sweep: an edge that still relaxes after V-1
passes proves a negative cycle is reachable. */
for (int u = 0; u < V; u++)
for (int v = 0; v < V; v++)
if (graph[u][v] && dist[u] != INF &&
dist[u] + graph[u][v] < dist[v])
return 0;
return 1;
}

How Bellman-Ford works

Relax every edge, V−1 times. After pass k every shortest path using ≤ k edges is correct; a V-th improving pass would prove a negative cycle.

Best case

Converges early if a pass changes nothing.

Worst case

O(V·E) — every pass touches every edge.

When to use it

Graphs with negative edge weights, or when you must detect negative cycles.