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Tree Data Structure

tree

Introduction

  • Tree is a hierarchical data structure which stores the information naturally in the form of hierarchy style.
  • Tree is a data structure that is similar to our trees in nature which is most powerful and advanced datastructure.
  • Trees are well known as a non-linear Data Structure. It doesn’t store data in a linear way.
  • It organizes data in a hierarchical way.
  • Tree is a collection of entities called node connected by edges.
  • Unlike trees in nature, the tree data structure is upside down: the root of the tree is on top.
  • A tree consists of nodes and its connections are called edges. The bottom nodes are also named leaf nodes.
  • Python doesn't have any built in way to create tree data structture but we can implement using list and other data structure.

Real Time Application OF Trees

  • Database Application.

  • File System in Unix or Linux.

  • Imagine a family tree with all generation relationship: grandparents, parents, children, siblings, etc. We commonly organize it in a hierarchical way.

  • A tree is an abstract data type that stores elements hierarchically. With the exception of the top element, each element in a tree has a parent element and zero ormore children elements

Advantages of Tree

  • Tree reflects structural relationships in the data.
  • Tree It provides an efficient insertion and searching operations. Trees are flexible. It allows to move subtrees around with minimum effort.

Some Important Terminology in Tree Data Structure

  • Node
  • Edge
  • Root Node
  • Leaf Node
  • Parent Node
  • Child Node
  • Siblings
  • Degree
  • Height
  • Depth
  • Level

Node

  • Where Node have Zero or more children.
  • Each Node contains value and some Links to its child.
  • The Connection between two node is called as edge. node

Edge

  • In any Given tree the the connection between two node is called as edge.
  • If "N" no of Nodes present in the tree the the count of edges should be "N-1" times. edge

Root node

  • Root node is the very first or parent node in tree.
  • Normally a tree start with root and then goes up to its crown so root node is the first node of the given tree root

Leaf Node

  • A Node without any children is called leaf node or terminal nod.
  • In hierarchy Leaf node Placed at the End of the tree where tree nodes do not have any child leaf

Parent Node

  • A Node Which hase a branch from it to any other node such node is called as parent node.
  • Predecessor of any node is called parent node.
  • A Normal Node which has a child Node is called as parent node. parent

Child Node

  • A Node which has a link from its parent node is called as child Node
  • descendant of any node is called as Child Node
  • Any Successor of node is called as Child node. child

Siblings

  • The Node which has same parent is called as siblings.
  • In simple word Nodes with the same parent are sibling nodes. siblings

Degree

Degree Of Node: total number of direct children of that node is called degree of that node.

Degree Of Tree The degree of the tree is the total number of it's children. degree

Internal Node

  • Every node who has at least one child is called as internal node
  • all Non-Leaf Nodes are called as Internal Node.
  • We can also call Non-Terminal Node to Internal node. internalcode

Level

  • The Each Step From Top(Root Node) to Bottom is called as level of the tree
  • level of treee count started from 0.
  • Root Node is placed at 0th level. level

Depth

  • Total no of edges from root node to specific given node is called the Depth of the node.
  • Depth of Root Node is Zero(0)
  • Depth of a tree is the total number of edges from root node to a leaf node in the longest path. depth

Height

  • Total number of edges that lies on the longest path from any leaf node to a particular node is called as height of that node.
  • Height of leaf node is always 0. height