02. Santa Banta
The problem can be found at the following link: Question Link
My Approach
To solve the problem, I have used a depth-first search (DFS) algorithm to find the largest connected component in an undirected graph. Here are the steps I followed:
The
dfsfunction is implemented to perform the depth-first search. It takes the current node as input and recursively visits all its unvisited neighbors.Within the
dfsfunction, I mark the current node as visited and increment the count of the component.Then, for each unvisited neighbor of the current node, I call the
dfsfunction recursively.Finally, the
helpSantafunction is implemented to iterate through all the nodes in the graph and find the largest connected component.It initializes a boolean array
visto keep track of visited nodes and an integer variableoutto store the size of the largest connected component.It calls the
dfsfunction for each unvisited node, updatingoutwith the maximum component size encountered.If
outis greater than 1, I retrieve theout-1th prime number from a precomputed list of prime numbers (kPrime) and assign it toout. Otherwise, I assign-1toout.Finally, the function returns the value of
out.
Time and Auxiliary Space Complexity
Time Complexity: The DFS algorithm has a time complexity of
O(V + E), where V is the number of vertices and E is the number of edges in the graph. Therefore, the overall time complexity of the algorithm isO(n + m), where n is the number of nodes and m is the number of edges in the graph.Auxiliary Space Complexity: The auxiliary space complexity of this approach is
O(n), where n is the number of nodes in the graph. This is due to the space required for thevisarray and the recursive call stack.
Code (C++)
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