Operations on data structure

Operations on data structure

Design of efficient data structure must take operations to be performed on the data structures into account. The most commonly used operations on data structure are broadly categorized into following types


1) Traversing: Every data structure contains the set of data elements. Traversing the data structure means visiting each element of the data structure in order to perform some specific operation like searching or sorting.

    Example: If we need to calculate the average of the marks obtained by a student in 6 different subject, we need to traverse the complete array of marks and calculate the total sum, then we will divide that sum by the number of subjects i.e. 6, in order to find the average.

2) Insertion: Insertion can be defined as the process of adding the elements to the data structure at any location.

    If the size of data structure is n then we can only insert n-1 data elements into it.

3) Deletion: The process of removing an element from the data structure is called Deletion. We can delete an element from the data structure at any random location.

    If we try to delete an element from an empty data structure then underflow occurs.

4) Searching: The process of finding the location of an element within the data structure is called Searching. There are two algorithms to perform searching, Linear Search and Binary Search. We will discuss each one of them later in this tutorial.

5) Sorting: The process of arranging the data structure in a specific order is known as Sorting. There are many algorithms that can be used to perform sorting, for example, insertion sort, selection sort, bubble sort, etc.

6) Merging: When two lists List A and List B of size M and N respectively, of similar type of elements, clubbed or joined to produce the third list, List C of size (M+N), then this process is called merging

Popular posts from this blog

DATA STRUCTURES-II

 UNIT – I  Tree: Header nodes, Threads, Binary search trees, Searching, Insertion and deletion in aBinary search tree , AVL search trees, Insertion and deletion in AVL search tree , m-waysearch tree, Searching, Insertion and deletion in an m-way search tree , B-trees, Searching,Insertion and deletion in a B-tree, B+tree , Huffman’s algorithm , General trees.  UNIT – II  Graphs: Warshall’s algorithm for shortest path , Dijkstra algorithm for shortest path , Operations on graphs , Traversal of graph , Topological sorting .  UNIT – III  Sorting: Internal & external sorting , Radix sort , Quick sort , Heap sort , Merge sort . Searching: Liner search, binary search, merging , Comparison of various sorting and searching algorithms on the basis of their complexity .  UNIT – IV  Files: Physical storage devices and their characteristics , Attributes of a file viz fields, records,Fixed and variable length records, Primary and secondary keys , Classification of files, File operations,
Read more

DATA STRUCTURES FOR B.TECH

DATA STRUCTURES Unit 1: Introduction :   Basic Terminologies:   C oncept of Data Structure, Choice of right Data Structure , Algorithms , how to design and develop algorithm, Complexity of algorithm.   Operations: insertion, deletion, traversal etc,   Analysis of an Algorithm. Searching:  Linear Search and Binary Search Techniques and their complexity analysis. Unit 2: Stacks  and  Queues : Stack  and  its  operations: Algorithms and their complexity analysis, Applications of Stacks: Expression       Conversion and evaluation -corresponding algorithms and complexity analysis. queue, Types of Queue: Simple  Queue, Circular Queue, Priority Queue ; Operations on each types of Queues: Algorithms and their analysis.   Unit 3 : Linked Lists:      Singly   linked  lists: Representation in memory, Algorithms of several operations:  Traversing, Searching, Insertion into, Deletion from linked list; Linked representation of Stack and Queue, Header nodes, Doubly linked list: operations on
Read more

DATA STRUCTURES FOR BCA

UNIT – I  Introduction: Elementary data organization, Data Structure definition , Data type vs. data structure , Categories of data structures, Data structure operations, Applications of data structures, Algorithms complexity and time-space tradeoff, Big-O notataion.   Strings: Introduction, Storing strings, String operations, Pattern matching algorithms.  UNIT – II  Arrays: Introduction, Linear arrays, Representation of linear array in memory, address calculations, Traversal, Insertions, Deletion in an array, Multidimensional arrays, Parallel arrays, Sparse arrays.  Linked List: Introduction, Array vs. linked list, Representation of linked lists in memory, Traversal, Insertion, Deletion, Searching in a linked list, Header linked list, Circular linked list, Two-way linked list, Threaded lists, Garbage collection, Applications of linked lists.  UNIT – III  Stack: Introduction, Array and linked representation of stacks, Operations on stacks, Applications of stacks: Polish notat
Read more