02. Santa Banta
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The problem can be found at the following link:
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 dfs
function is implemented to perform the depth-first search. It takes the current node as input and recursively visits all its unvisited neighbors.
Within the dfs
function, 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 dfs
function recursively.
Finally, the helpSanta
function is implemented to iterate through all the nodes in the graph and find the largest connected component.
It initializes a boolean array vis
to keep track of visited nodes and an integer variable out
to store the size of the largest connected component.
It calls the dfs
function for each unvisited node, updating out
with the maximum component size encountered.
If out
is greater than 1, I retrieve the out-1
th prime number from a precomputed list of prime numbers (kPrime
) and assign it to out
. Otherwise, I assign -1
to out
.
Finally, the function returns the value of out
.
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 is O(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 the vis
array and the recursive call stack.
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