Tree Data Structure from Non Linear Data Structure ( #shorts )

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Tree Data Structure from Non Linear Data Structure ( #shorts )

Non-Linear Data Structure : Tree Data Structure

A tree data structure is a way of organizing information in a hierarchy, like the branches and roots of a tree. Just like a real tree, a tree data structure has a root at the top, and branches that spread out from the root, which themselves can have branches, and so on.

Each node in a tree data structure can have zero or more child nodes, and each child node can have its own child nodes. The node that has no child nodes is called a leaf node. The node that is at the top of the tree, which has no parent node, is called the root node.

Trees are often used in computer science to represent data with a hierarchical structure, such as file systems, organization charts, or even the structure of a website. By using a tree data structure, it is easy to organize and navigate the information in a way that is both efficient and intuitive.

Imagine you have a family tree. At the very top is your great-great-grandfather, and below him are his children: your great-grandfather and his siblings. Each of these children has their own children, who in turn have their own children, and so on, until you reach the bottom of the tree where you and your siblings are.

This family tree can be represented as a tree data structure. Each person is a node in the tree, and each node has child nodes representing their children. For example, your great-grandfather is a node with child nodes representing his children (your grandfather and his siblings), and each of those children nodes have child nodes representing their own children.

In this way, a tree data structure can represent a hierarchical relationship between elements, where each element has one parent node and zero or more child nodes.

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