Breadth First Search Archives

Shortest path in unweighted graph explained with simple example

Shortest path algorithms are designed to find the minimum cost path between two nodes in a graph. This algorithm can be used to find out the fastest way to reach from one place to another or it can be used to find cheapest way to fly or travel between source and destination.
An unweighted graph is a graph in which all the edges are of same cost. In this unweighted graph, we have to find the shortest path to all the vertices from a given vertices. This algorithm is very much similar to BFS.
Before going ahead have a look into Graph Basics.

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Binary Tree Level Order Traversal Explained With Simple Example

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A tree is a data structure similar to Linked list in which each node points to multiple nodes instead of simply pointing to the next node. A tree is called Binary tree if each node in a tree has maximum of two nodes.
An empty tree is also a Binary tree. We can call the two children of each node as Left and Right child of a node. The node of the tree which has no parent is called the Root of the tree. Perhaps Binary tree is the most used tree data structure in the programming world. Before going ahead have a look into Binary Tree basics and Binary Tree implementation.

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Breadth first search for a Graph

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Traversal of a Graph means visiting each and every nodes present in the Graph. Traversal can be done using various approaches and here we are going to talk about one of most famous and useful traversal algorithm known as Breadth first search (BFS). In this algorithm, backtracking and recursion is being used along with a Queue to visit all the nodes. Before going ahead have a look into Graph Basics.

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