What is Graph Cloning? Today we have with us a reference to an undirected graph. What do we have to do? Returning a deep copy of the provided graph. Let us look at the structure: The Class Node: It consists of the data value and the neighbors associated with each …
In Symmetric Tree problem we have given a binary tree, check whether it is a mirror of itself. A tree is said to be a mirror image of itself if there exists an axis of symmetry through a root node that divides the tree into two same halves. Example Types …
Level Order Traversal of a given binary tree is the same as the BFS of the binary tree. Do we already know about what actually BFS is? if not then don’t need to feel bad just read the whole article and visit our previous articles for better understanding. BFS is a …
A bipartite graph is a type of graph in which we divide the vertices of a graph into two sets. There are no edges between the vertices of the same set. Here in the bipartite_graph, the length of the cycles is always even. Basically, the sets of vertices in which …
In the previous post(Graph and its implementation, BFS of a graph and DFS of a graph) we understand the logic and the implementation of the Graph traversal. Now we look forward and see the application and needs of the BFS/DFS. Application of the Breadth-First-Search Connected Components of a given Graph …
In this article, we will learn the insertion in a binary tree. We have already seen the concept of BFS in the previous article, so here we will use the same concept to insert the data in a binary tree. The concept is traversing the tree in level order and …
Breadth First Search (BFS) Do we already know about what actually BFS is? if not then don’t need to feel bad just read the whole article and visit our previous article on Breadth First Search for better understanding. BFS is a level order traversal in which we visit the nodes of …
Breadth First Search (BFS) for a graph is a traversing or searching algorithm in tree/graph data structure. It starts at a given vertex(any arbitrary vertex) and explores all the connected vertex and after that moves to the nearest vertex and explores all the unexplored nodes and takes care that no …