The Heap Space

  Single Source Shortest Path Algorithms BFS Dijkstra's Algorithm Bellman Ford Algorithm Time Complexity O(V^2) O(V^2) O(E.V) Space Complexity O(E) O(V) O(V) Limitation Does not work for weighted graphs in general. If all weight is same in weighted graph or can be made same, then it will work for weighted graph as well Works for weighted as well as unweighted graph. Does not work is there is a negative cycle in the graph. Not able to detect negative cycle. No limitation for working. Works for all kinds of graph as well as able to detect negative cycle in the graph. Only disadvantage is it's runtime complexity is highest here as compared to BFS, Dijkstra and Floyd Warshall Working for Unweighted Graph use this as it is easy to implement Avoid it as we have to implement a min heap too in this case which will slow this down Avoid it as Time Complexity is not good Working for Weighted Graph (no negative cycle) Not supported can be used Avoid it as Time Complexity is not good Workin...

    What is All Pairs Shortest Path (APSP)?  It calculates the shortest distance between each pair of vertices/nodes of the graph. We can also implement APSP by BFS, Dijkstra's Algorithm and Bellman-Ford Algorithm by running these algorithms for all the vertices/nodes in the graph/ Here we will be discussing a new algorithm for calculating only All Pairs Shortest Path. That means it can't be used to find the Single Source Shortest Path. The name of the algorithm is the  Floyd Warshall Algorithm.  The Floyd Warshall Algorithm does not work for / detects a negative cycle. Floyd Warshall Algorithm [Time Complexity: O(V^3) ,  Space Complexity: O(V^2) ] 1. Initialize a square matrix (adjacency matrix):          a. If i==j , put 0 in that cell          b. Else if there is a direct edge from node i to node j then we put the weight of that edge in that cell.          c. Else if there is no ...

    Why to use Bellman Ford Algorithm? We have seen earlier that both BFS and Dijkstra's algorithm can not be used when we have negative cycle in a graph. So, Bellman Ford Algorithm gives us a way to handle negative cycle in a graph. Remember, in any graph, if we have a negative cycle, we can't use any algorithm to find shortest path. Bellman Ford algorithm helps us to detect and notify the negative cycle in a graph, if present any.  In Bellman Ford Algorithm, our focus is gonna be on edges rather than vertices or nodes. To recall, in Dijkstra's Algorithm, our focus was on nodes. The Bellman Ford Algorithm runs for (V-1) times where V is the no. of vertices/nodes in the graph.In each iteration it go es through all edges and tries to find the optimal shortest distance. Why it runs (V-1) times, we will see to it later in this post. If there is a negative cycle present in graph, the Bellman Ford algorithm can detect it in Vth (V is the no. of vertices/nodes in the grap...

  Why do we need Dijkstra's Algorithm? We have seen that BFS can only be used to find the shortest path in unweighted graphs. So, for the weighted graphs, Dijkstra comes to our rescue. Dijkstra can be used for all 6 types of graphs. BUT, there is a scenario where DIJKSTRA's ALGORITHM CAN NOT BE USED : when a graph has a NEGATIVE CYCLE .  So a path is called a 'Negative Cycle' if: a) There is a cycle (quite obvious, isn't it ?) b) The Total weight of the cycle should be a negative number. For example - for now, let's consider in the above graph, the weight of edge AD as -6 instead of +6. Now, if we see the path DBAD, it is a cycle and total weight = 1 + 3 - 6 = -2, that is negative weight. So, a negative cycle. So, what is the reason that Dijkstra's Algorithm fails for a negative cycle? For one more time let's consider in the above graph the weight of edge AD as -6 instead of +6.  Now, we know Dijkstra finds the shortest path. If the graph has a negative...

  "What is Single Source Shortest Path (SSSP) ?" It is the shortest path from a source node to a destination node / multiple destination nodes. If we use BFS for finding SSSP , we can do this for only unweighted graphs. This is because if we consider a weighted graph for finding SSSP using BFS, the BFS will traverse the graph in a breadth-wise manner. But there might be a path, having less cost that is ignored by BFS. Exception, a case where we can use BFS in a weighted graph too: BFS always has the least number of edges between any two vertices. So if all edges are of the same weight, we can use BFS to find the shortest path. Also. DFS is very inefficient for finding SSSP as we have a tendency to go deep and it might be possible that the target node has been close all this time . The same has been explained here under the heading  "BFS VS DFS - When To Use Which Method ?" Algorithm : It is the same as that of BFS except that here we maintain a parentNode proper...