2012年10月23日 · A* is just like Dijkstra, the only difference is that A* tries to look for a better path by using a heuristic function which gives priority to nodes that are supposed to be better than others while Dijkstra's just explore all possible paths. Its optimality depends on the heuristic function used, so yes it can return a non optimal result because of this and at the same time …

2014年4月7日 · Your code is really confusing: there are 2 different variables named G, unused variable S, and so on. I guess your code just finds ways with no more than 2 edges, as you never add anything to the queue (as you should do in Dijkstra's algorithm), but I can't tell for sure as it is hardly readable.

2010年5月18日 · I understand what Dijkstra's algorithm is, but I don't understand why it works. When selecting the next vertex to examine, why does Dijkstra's algorithm select the one with the smallest weight? Wh...

2016年6月27日 · As per my understanding, I have calculated time complexity of Dijkstra Algorithm as big-O notation using adjacency list given below. It didn't come out as it was supposed to and that led me to unde...

2010年4月17日 · I was trying to understand this implementation in C of the Dijkstra algorithm and at the same time modify it so that only the shortest path between 2 specific nodes (source and destination) is foun...

2017年5月15日 · Variants of Dijkstra's Algorithm The key is there are 3 kinds of implementation of Dijkstra's algorithm, but all the answers under this question ignore the differences among these variants. Using a nested for -loop to relax vertices. This is the easiest way to implement Dijkstra's algorithm. The time complexity is O (V^2).

76 After a lot of Googling, I've found that most sources say that the Dijkstra algorithm is "more efficient" than the Bellman-Ford algorithm. But under what circumstances is the Bellman-Ford algorithm better than the Dijkstra algorithm? I know "better" is a broad statement, so specifically I mean in terms of speed and also space if that applies.

2009年8月26日 · Dijkstra's algorithm is definitely complete and optimal that you will always find the shortest path. However it tends to take longer since it is used mainly to detect multiple goal nodes.

2022年3月29日 · Below is my implementation for Dijkstra's algorithm using heaps (for undirected graphs). This works just fine for reasonably sized graphs however I am not satisfied by my code for recalculating gre...

2017年4月21日 · Therefore, dijkstra has the advantage over A* which is that it works for any general graph (with the exception of A* being faster in some cases). It could well be that certain implementations use these algorithms interchangeably, resulting in different results.