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data structures differences

Difference Between Binary Search tree vs AVL tree

Difference Between Binary Search tree vs AVL tree

What Is AVL tree?

AVL tree is also defined as height balanced binary search tree in which each and every node is connected to a balanced factor which can be further counted as to reduce the height of left sub-tree with right sub-tree. Tree can only be called as balanced if the balance factor of each node lies between -1 and 1, and if not then the balance of AVL tree got misbalance and it needs to be get balanced. AVL tree stops binary search tree to get bend and make it balanced. Operations like insertion and deletion can be performed under proper circumstances so that it can prevent it from bending and saves him for crossing the limits of AVL guidelines. If AVL tree has N node then its height denoted as log2 (N+1). The name of AVL tree got his name from the inventors Georgy Adelson-Velsky and Evgenii Landis in 1962. AVL Tree is used to organize the data in a proper way.

What Is Binary Search tree?

In this kind of searching tree the systematic and sequential allocation of nodes are arranged, it is also called as the ordered binary tree, it is defined as in terms of binary tree class .In binary search tree the searching operation is very easy and settled and while operation it gives hint also for the desired element in that sub-tree. It is more dynamic and expert data structure then array and linked list, while searching it auto removes the half sub-tree which lower the effect of disturbance in searching.  In binary search tree the time taken in searching of an element is denoted by o (log2n) .The time taken in searching of an element in the worst case is denoted by 0(n). It also provides speed in the operations like insertion and deletion.

Binary Search tree vs AVL tree In Data Structure

BINARY SEARCH TREE AVL TREE
In binary search tree, the nodes based on binary tree contain left and right binary sub-tree. AVL tree is also a binary tree because of two children.
Due to their ordered characteristics operation like insertion and deletion is faster. They are usually unordered but the operations are still faster.
It is well organized and settled in terms of elements in the left sub-tree and right sub-tree greater then nodes. Due to its height balance process it takes a little complexity within to get stable in both sub-trees.
The height or depth of the tree is O (n) where n is the number of nodes in the Binary Search tree. The height or depth of the tree is denoted by O(log n).
Binary Search tree consists of three fields, left sub-tree, node value, and the right sub-tree. AVL tree consists of four fields in nodes left sub-tree, node value, right sub-tree, and the balance factor.
Searching is slow and lag in binary search tree when there are large number of nodes available in the tree because the height is not balanced. Faster searching is present in AVL tree even when there is large number of nodes in the tree because the height is balanced.

 

Difference Between Binary tree vs Binary Search tree

Difference Between Binary tree vs Binary Search tree

What Is Binary Tree?

In data structure the binary tree is that kind of tree where each node consist of only two child part, these parts are called as left child part and right child part and these upper nodes in which two different parts are present are called root nodes. In this the data are stores in these nodes and these nodes are denoted by a pointer and theses pointers denotes both left and right child part. In binary tree each node has three parts they are: pointer to the left node, data element and, pointer to the right node. Every binary tree has one root pointer which denotes the root node of binary tree and one empty binary tree denotes null to the root pointer. In this process of representation binary tree is stored in memory in form of linked list where a non contiguous memory location on nodes depends on their count. Binary tree has following two sub trees; they are (1) Strictly binary tree, (2) Complete binary tree.

What Is Binary Search tree?

In this kind of searching tree the systematic and sequential allocation of nodes are arranged, it is also called as the ordered binary tree, it is defined as in terms of binary tree class .In binary search tree the searching operation is very easy and settled and while operation it gives hint also for the desired element in that sub-tree. It is more dynamic and expert data structure then array and linked list, while searching it auto removes the half sub-tree which lower the effect of disturbance in searching.  In binary search tree the time taken in searching of an element is denoted by o (log2n) .The time taken in searching of an element in the worst case is denoted by 0(n). It also provides speed in the operations like insertion and deletion.

Binary tree vs Binary Search tree

BINARY TREE BINARY SEARCH TREE
In this kind of non-linear data structure, each nodes contains two child nodes. In binary search tree, the nodes based on binary tree contain left and right binary sub-tree.
Due to is un ordered manner it is slower in operations like insertion and deletion. Due to their ordered characteristics operation like insertion and deletion is faster.
 In this no order or sequence are present for the nodes to be arranged. It is well organized and settled in terms of elements in the left sub-tree and right sub-tree greater then nodes.
There are several types. Most common ones are the Complete Binary Tree, Full Binary Tree, and Extended Binary Tree. The most popular ones are AVL Trees, Splay Trees, Tango Trees, and T-Trees.

Difference Between Singly Linked List vs Doubly Linked List

Difference Between Singly Linked List vs Doubly Linked List

What Is Singly Linked List?

It is the one of the variation of linked list in which operations of data items and elements are performed or executed in one way direction and it is defined for the storing of that object that further called as nodes and can be stored in memory randomly , there are two fields in singly linked list one is called where these data stores and the second is called pointer and these both link with the data to address them properly. Insertion, deletion and transversal operations are performed in singly linked list.

What Is Singly Doubly List?

In this type of linked list there are two links are present for each node where the operation of storing data items and elements are performed, here first link points the node of previous list and second link points the next node present in it, and the navigation is possible from both side and the last part is linked for the previous pointer it is more complex then singly linked list

Singly Linked List vs Doubly Linked List In Data Structure

SINGLY LINKED LIST DOUBLY LINKED LIST
Here each node contains the data of next node which is linked Here each node contains the data of previous and next node which is linked
Due to only forward operation transversal process cannot be performed Transversal process can be performed with this benefit
It uses the memory for each node It use more then normal memory for each node
 O(n) position is used to address the complexity of insertion and deletion O(1) position is used to address the complexity of insertion and deletion
When searching is not performed and have to save the memory then this list is used When there is no boundation for memory consumption and better dynamic performance is needed then this list is used
Transverse is performed whether the element is present in the list in the last position Transverse is performed in the end of the list whether the element is anywhere in the list 
It is highly used in developing of stacks It is used in heap ,binary trees and stacks

 

Difference Between Stack and Array Data structure

Difference Between Stack and Array Data structure

What Is Stack Data Structure?

It is a kind of special linear data structure in which the item which is added in the last is removed from the very first and the item is to be added first is removed from the list in the last position; it works on the process of LIFO (last in first out). In stack there is only one end for insertion of date item and that is called top end, it is a kind of abstract data type where items and elements are stored in a limited size and it is mainly used in building of programming languages.

 What Is Array In Data Structure?

Array is that kind of data structure in which many data items can be stored of similar data types in a single variable, in this all the data items that are stored is denoted by a single name but they all have the different index with the help of that this array can access in all data items stored in it. Arrays are of three types, (1) One Dimensional Array, (2) Two Dimensional Array, (3) Multi Dimensional Array.

Stack Vs Array In Data Structure

STACK ARRAY
Stack follows LIFO (Last in first out) process. Array has its own ordered collection of data types.
Insertion and deletion of data items and element occurs only from one (top) end. Array’s contiguous memory location stores elements in it.
Due to one open end only single pointer is used to denote stack. Due to continuous and fix memory location insertion and deletion operations takes more time
The implementation process is very easy. Memory can be allocated in compile time and is also known as static memory allocation.
Operation like push and pop to be performed in stack It can be single dimensional, two dimensional or multi-dimensional.
Stacks have nothing to perform An array size can justified at the time of declaration.

Difference Between Tree and Graph Data structure

Difference Between Tree and Graph Data structure

What Is Tree Data Structure?

Trees are the most common and a kind of hierarchical data structure which stores data or information in sequential manner, and this all occurs because of a group of nodes which is basically a hierarchical bonding, it is a kind of non-linear data structure which works on the principle of parent-child relationship and each data item is noted as node and the top most node is called a parent node, and these nodes have their child nodes also. In data structure tree always grow downside, due to this characteristics searching and transverse can easily be done and insertion deletion and searching can be done real quick. Trees may be of following type, (1) General Tree, (2) Binary Tree, (3) Binary Search Tree, (4) AVL Tree, (5) B Tree.

What Is Graph Data Structure?

It is that kind of data structure, where the groups of nodes are present which is called as vertex and these vertices are so connected to each other in formation of bridge pattern and these patterns are called as edges. These edges works as a communication link between the two nodes. Graphs are a kind of non-primitive and non-linear data structure where the bunch of nodes vertices and edges are present and these may vary in directional as well as unidirectional way. Graphs are of following types (1) Directed graphs, (2) Undirected graphs, (3) Weighted graphs, (4) Non-weighted graphs.

Tree Vs Graph Data structure

TREES GRAPHS
Here elements are arranged at multiple levels due to is non-linear structure. It is also a kind of non-linear and non-primitive data structure.
Collection of nodes and edges are present. Collection of vertices and edges are present.
Edges and nodes are denoted as N,E respectively and written as T={N,E}. Edges and vertices are denoted as N,E respectively and written as T={V,E}.
The topmost node is representing as parent node and rest are their child nodes. There is no requirement of nodes.
Loop or cycle formation is not needed. Loop or cycle formation is needed.
It works on hierarchical model where nodes are arranged at multiple level. It works on network model and is used dynamically for SNS websites.
n-1 number of edges are present if there are nodes present in it as in directed edges. Dependencies of edges are present on the structure of graphs as in both directed & non-directed edges.
Operations like Insertion, deletion, searching can easily be done. It is used to find the shortest path for the network model.

Difference Between Linear Queue and Circular Queue

Difference Between Linear Queue and Circular Queue

What Is Linear Queue?

In this type of queue data structure the addition of elements can be done where these new elements are added from back portion or back end and the old elements are deleted from the front end. This basically works on  FIFO (first in first out) process where that item be deleted first will be added first, In this insertion takes place at the one end and deletion take place at the other end.

What Is Circular Queue?

In this type of queue data structure the elements are added in a circular queue this process is also known as ring-buffer. In this process the last node present in the circular queue is already added with the first node present in that queue in a circular manner, it also works on FIFO (first in first out) process. In this process the data items are added from the end portion and the deletion or removing is done from the front end.

Linear Queue Vs Circular Queue In Data Structure

LINEAR QUEUE CIRCULAR QUEUE
It records and organizes the data items and elements with proper instructions. It only manages the data items and elements in the circular pattern present in it
 In this process the work is processed or executed in appropriate and sequential order as it placed before. In this process the orders are executing and that may have change the complete task.
As of FIFO process the new elements is added from forward direction and removed from backward direction. It also works on FIFO process but also may have differed in Insertion and deletion of elements at any stage.
This process requires a lot of memory storage as well as huge consumption.  It requires lesser memory and a stable consumption.
By their process they works less and are lesser efficient. This process is much more efficient as in comparison.

Difference Between Array and Linked list In Data structure

Difference Between Array and Linked list In Data structure

What Is Array?

Array is that kind of data structure in which many data items can be stored of similar data types in a single variable, in this all the data items that are stored is denoted by a single name but they all have the different index with the help of that this array can access in all data items stored in it. Arrays are of three types, (1) One Dimensional Array, (2) Two Dimensional Array, (3) Multi Dimensional Array.

What Is Linked List?

It is a kind of non-primitive data structure which is made up of group of nodes, and these each nodes is subdivided in two portions, first portion is for data and the second portion is for pointer. Here the pointer portion of linked list hold the address of next node, and these nodes are used to store the data, also linked list is that kind of data structure whose length can be increased or decreased at the run-time which makes him more dynamic. Linked list are of three types (1) Single linked list, (2) Doubly linked list, (3) Circular Doubly linked list.

Array Vs Linked list In Data structure

ARRAY LINKED LIST
Array has its own ordered collection of data types. Linked list has a ordered collection of elements which are self-connected by pointers.
Array’s contiguous memory location stores elements in it. New elements can be store anywhere in the memory allocation.
Due to continuous and fix memory location insertion and deletion operations takes more time. In linked list operations like insertion and deletion are way too fast.
Memory can be allocated in compile time and is also known as static memory allocation. Memory can be allocated at the run time also which makes him dynamic memory allocation.
It can be single dimensional, two dimensional or multi-dimensional.  It can be linear (singly), doubly or circular.
An array size can justified at the time of declaration. In linked list the size can be increased at run-time when nodes are added in process.

Difference Between Stack and Queue In Data Structure

Difference Between Stack and Queue In Data Structure

What Is Stack?

It is a kind of special linear data structure in which the item which is added in the last is removed from the very first and the item is to be added first is removed from the list in the last position; it works on the process of LIFO (last in first out). In stack there is only one end for insertion of date item and that is called top end, it is a kind of abstract data type where items and elements are stored in a limited size and it is mainly used in building of programming languages.

What Is Queue?

It is also a kind of linear data structure of non-primitive type in which the data item to added first will be removed first and that data item which is added in the last is to be removed last, in this kind of abstract data structure both the ends are in opened position so that the insertion and deletion of data items and elements are easier and in ordered manner. It works on the process of FIFO (First in first out). Queue is subdivided in types, they are, (1) Linear queue, (2) Circular queue, (3) Priority queue, (4) Dequeue.

Stack Vs Queue In Data Structure

STACK QUEUE
Stack follows LIFO (Last in first out) process. Queue follows FIFO (First in first out) process.
Insertion and deletion of data items and element occurs only from one(top) end. Insertion and deletion of data items and elements occurs from both the end.
Due to one open end only single pointer is used to denote stack. In Queue two pointers are used for back and front to denote queue.
The implementation process is very easy. In this the implementation process is complex as well as very tricky.
Operation like push and pop to be performed in stack Enqueue and Dequeue operations are performed under Queue
Stacks have nothing to perform. Queue have other variants for performance like Circular, priority, Linear etc.

 

Difference Between Linear Search vs Binary Search

In this searching process comparison of data element is done with elements present in the list step by step, this type of searching is also called as sequential searching. The process in linear search starts with the collation of element already available in list’s first element and if both the elements seems same then it returns the index value or else it returns -1 and then this process continues with the other element present in the list and if the element doesn’t found in the list then this searching becomes unsuccessful. The average case complexity of linear search is O (n).

In this searching method any kind of structural big data can easily be searched and sorted in binary search, this technique is very fast searching algorithm whose time complexity is O (log n), this technique is based on the principle of   divide and conquer. Binary search is executed in only that kind of list which is sorted sequentially. In this searching element process it is compared with the middle element, if both elements are same then it returns index value and if not then it is checked with the middle element in big or small manner. If element is big then it is repeated in middle part and it is executed up to the completion of finding of element.

LINEAR SEARCH BINARY SEARCH
Comparison of element done with the data already present in the list Comparison of element done in the middle part of the element present in the list
Element are not arranged in a sorted manner Elements have to be arranged in the sorted manner
Sequential search is needed in this technique Divide and conquer process is needed in this technique
It is implemented in linear data structure like array ,linked list etc. It is implemented on the data who have two way transversal
It usually denoted small data size It denotes the large and big data size
Finding the element O (n) is its worst case Finding the element O (log2n) is its worst case

Difference Between Linear vs Non-Linear Data Structure

Linear Vs Non-Linear Data Structure

Data structure is a way of storing or organizing of data in which the data items can be stored or organized in a definite manner in computer system , which can easily be used in an authentic manner at the time of  execution or access , here data and files are organized step by step.

What Is Linear Data Structure?

In this type of data structures , the data items or data material are stored in vertically or line wise manner, in this type of data structure the data are connected to one another in linear manner , for example : linked list , queue , stack and array.

What Is Non-Linear Data Structure?

In this type of data structures , the data items or data material are stored in non- mannered or unorganized pattern, in this type of data structure the data  or data items are connected to any  another data item in non linear manner , for example :  Trees and graphs.

Difference Between Linear vs Non-Linear Data Structure

LINEAR DATA STRUCTURE NON-LINEAR DATA STRUCTURE
Here the elements are attached sequentially or in linear manner. Here the elements are managed hierarchically or non-linear manner.
Each data and data items are so connected to each other in linear data structure. Due to non sequential presence the data item and data are not connected to each other which cause multiple runs for the program.
Easy implementation of data is possible in this data structure. Difficult and complexity of data are present in this data structure
Arrays, linked list, stack, are the types of a linear data structure. Trees and graphs are the types of a non-linear data structure.
Memory consumption and utilization is lengthy. Memory is utilized in a very efficient manner due to free data selection.
Linear data structures are mainly used for developing the software Non-linear data structures are used in image processing and Artificial Intelligence