Rooted tree, Data Structure & Algorithms

Assignment Help:

It does not have any cycles (circuits, or closed paths), which would imply the existence of more than one path among two nodes. It is the most general kind of tree, and might be converted in the more familiar form though designating a node as the root. We can represent a tree like a construction containing nodes, and edges that represent a relationship among two nodes. In Figure, we will assume most common tree called rooted tree. A rooted tress has a single root node that has no parents.

349_rooted tree.png

Figure: A rooted tree

In more formal way, we can define tree T like a finite set of one or more nodes such that there is one designated node r called as the root of T, and the remaining nodes into (T - { r } ) are partitioned in n > 0 disjoint subsets T1, T2, ..., Tk  each of is a tree, and whose roots r1 , r2 , ..., rk , respectively, are children of r. The general tree is a generic tree which has one root node, and each node in the tree can have limitless number of child nodes. One popular employ of this kind of tree is a Family Tree.

A tree is an example of a more general category called graph.

  • A tree contains nodes connected by edges.
  • A root is node without parent.
  • Leaves are nodes having no children.
  • The root is at level 1. The child nodes of root are at level 2. The child nodes of nodes at level 2 are at level 3 and so forth.
  • The depth (height) of any Binary tree is equivalent to the number of levels in it.
  • Branching factor describe the maximum number of children to any node. Thus, a branching factor of 2 means a binary tree.
  • Breadth described the number of nodes at a level.
  • In a tree the depth of a node M is the length of the path from the root of the tree to M.
  • In a Binary tree a node has at most 2 children. The given are the properties of a Tree.

Full Tree: A tree having all the leaves at the similar level, and all the non-leaves having the similar degree

  • Level h of a full tree contains dh-1 nodes.
  • The first h levels of full tree have 1 + d + d2 + d3 + d4 + ....... + dh-1 = (dh -1)/(d - 1) nodes where d refer to the degree of nodes.
  • The number of edges = the number of nodes - 1 (Why? Because, an edge represents the relationship among a child & a parent, and every node has a parent except the root.
  • A tree of height h & degree d has at most d h - 1 element.

Related Discussions:- Rooted tree

Algo for quicksort, Easy algorithm for beginner for quicksort with explanat...

Easy algorithm for beginner for quicksort with explanation

Simulation of queues, Simulation is the process of making an abstract model...

Simulation is the process of making an abstract model of a real world situation in order to be aware of the effect of modifications and alterations and the effect of introducing nu

What is algorithm, What is Algorithm A finite sequence of steps for a...

What is Algorithm A finite sequence of steps for accomplishing some computational task. An algorithm should Have steps which are simple and definite enough to be done

Deletion algorithm for dequeue, Deletion Algorithm for dequeue Step 1:...

Deletion Algorithm for dequeue Step 1: [check for underflow]   If front = 0 and rear = 0   Output "underflow" and return Step 2: [delete element at front end]   If front

What are expression trees, What are expression trees?  The leaves of an...

What are expression trees?  The leaves of an expression tree are operands, like as constants or variable names, and the other nodes have operators. This certain tree happens to

What is a binary search tree (bst), What is a Binary Search Tree (BST)? ...

What is a Binary Search Tree (BST)? A binary search tree B is a binary tree every node of which satisfies the three conditions: 1.  The value of the left-subtree of 'x' is le

The two famous methods for traversing, The two famous methods for traversin...

The two famous methods for traversing are:- a) Depth first traversal b) Breadth first

State the ways to construct container taxonomy, State the ways to construct...

State the ways to construct container taxonomy There are several ways that we could construct our container taxonomy from here; one way that works well is to make a fundamental

Linked lists, representation of links list in memory

representation of links list in memory

Compound interest, Write the algorithm for compound interest

Write the algorithm for compound interest

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd