I did recently attach the 3rd version of Dijkstra algorithm for shortest path of single source into my project.
I realize that there are many different implementati
Two points I'd like to make: 1) Dijkstra vs A* Dijkstra's algorithm is a dynamic programming algorithm, not an heuristic. A* is an heuristic because it also uses an heuristic function (lets say h(x) ) to "estimate" how close a point x is getting to the end point. This information is exploited in subsequent decisions of which nodes to explore next.
For cases such as an Euclidean graph, then A* works well because the heuristic function is easy to define (one can simply use the Euclidean distance, for example). However, for non Euclidean graphs it may be harder to define the heuristic function, and a wrong definition can lead to a non-optimal path.
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.
2) The dijkstra algorithm (and others such as A*) use a priority queue to obtain the next node to explore. A good implementation may use a heap instead of a queue, and an even better one may use a fibonacci heap. This could explain the different run times.