Dijkstra's Algorithm: Difference between revisions
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Dijkstra's algorithm centers around this property: ''of all the edges leaving the source, the shortest edge must be in the shortest path.'' | Dijkstra's algorithm centers around this property: ''of all the edges leaving the source, the shortest edge must be in the shortest path.'' | ||
To reach the shortest path, Dijkstra always picks the shortest edge leaving the known nodes. | To reach the shortest path, Dijkstra always picks the shortest edge | ||
leaving the known nodes. In each iteration, it finalizes the distance to | |||
a node by picking the shortest one. | |||
= Implementation = | = Implementation = | ||
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pi[v] = null | pi[v] = null | ||
d[s] = 0 | d[s] = 0 | ||
Q = V // priority queue of nodes | |||
while Q is not empty: | while Q is not empty: | ||
u = Q.extractMin() | u = Q.extractMin() |
Revision as of 06:06, 9 March 2024
Dijkstra's algorithm is a solution to the shortest path problem for graphs with positively-weighted edges.
Approach: Greedy
Dijkstra's algorithm centers around this property: of all the edges leaving the source, the shortest edge must be in the shortest path.
To reach the shortest path, Dijkstra always picks the shortest edge leaving the known nodes. In each iteration, it finalizes the distance to a node by picking the shortest one.
Implementation
Dijkstra(G, w, s) { // initialize for all v in V: d[v] = infty pi[v] = null d[s] = 0 Q = V // priority queue of nodes while Q is not empty: u = Q.extractMin() for all v in adj[u]: if d[v] > d[u] + w(u,v): d[v] = d[u] + w(u,v) pi[v] = u