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  • Difference and advantages between dijkstra A star
    It says A* is faster than using dijkstra and uses best-first-search to speed things up A* is basically an informed variation of Dijkstra A* is considered a "best first search" because it greedily chooses which vertex to explore next, according to the value of f(v) [f(v) = h(v) + g(v)] - where h is the heuristic and g is the cost so far Note that if you use a non informative heuristic
  • Dijkstras algorithm in python - Stack Overflow
    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
  • Negative weights using Dijkstras Algorithm - Stack Overflow
    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)
  • Understanding Time complexity calculation for Dijkstra Algorithm
    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
  • Why is the time complexity of Dijkstra O ( (V + E) logV)
    I was reading about worst case time complexity for the Dijkstra algorithm using binary heap (the graph being represented as adjacency list) According to Wikipedia and various stackoverflow questions, this is O((V + E) logV) where E - number of edges, V - number of vertices
  • Dijkstra for longest path in a DAG - Stack Overflow
    The Dijkstra algorithm finds the shortest path in a graph So if you want to modify this algorithm to find the longest path in a graph, then you just have to multiply the edge weight by "-1" With this change the shortest path will be actualy the longest path If you want to extract the result, just multiply the result by "-1" Here is an example:
  • What is the fastest Dijkstra implementation you know (in C++)?
    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
  • Use Dijkstras to find a Minimum Spanning Tree? - Stack Overflow
    A: Dijkstra's Algorithm at every step greedily selects the next edge that is closest to some source vertex s It does this until s is connected to every other vertex in the graph Clearly, the predecessor subgraph that is produced is a spanning tree of G, but is the sum of edge weights minimized?
  • Difference between Prims and Dijkstras algorithms?
    What is the exact difference between Dijkstra's and Prim's algorithms? I know Prim's will give a MST but the tree generated by Dijkstra will also be a MST Then what is the exact difference?





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