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What is Data Structure, its application and Implementation
The logical or mathematical modal of a particular data is called data structure.
OR
A way to organized and manipulate the data is called data structure
Firstly, it must be rich enough in structure to mirror the actual relationships of the data in the real world. Secondly, the structure should be simple enough that one can effectively process the data when necessary.
Implementation of the structure on computer, quantitively analysis of the structure, which includes determine the amount of memory needed to store the structure and the time required to process the structure.
Why Data structure
They offer reusability and abstraction, and employing the right data structures can significantly streamline tasks like data storage, retrieval, and processing, ultimately saving programmers a substantial amount of time. Handling large volumes of data becomes more manageable with their use.
Types of data structure
Primitive & non-primitive
Primitive data structure is a fundamental type of data structure that stores the data of only one type
Example: integer, float, character, pointer
Non-primitive data structure is a type of data structure which is a user-defined that stores the data of different types in a single entity. Non-primitive categories into two parts such as linear data structure and non-linear data structure
Linear: Linear data structure is a sequential type of data structure, and here sequential means that all the elements in the memory are stored in a sequential manner; for example, element stored after the second element would be the third element and so on. Example: Array, Linked list, Stack, Queue.
Non Linear: A kind of random type of data structure Example: Tree and Graph
Abstract Data Types
The definition of ADT only mentions what operations are to be performed but not how these operations will be implemented. The ADT defines the logical form of the data type. The data structure implements the physical form of the data type. For example, a List is an abstract data type that is implemented using a dynamic array and linked list. A queue is implemented using linked list-based queue, array-based queue, and stack-based queue.
Related links
Single link list Stack AVL Trees Binary search Counting Sort
Doubly link list Queue Graphs Bubble Sort Radix sort
Circular link list Binary search tree Hashing Insertion Sort Bucket Sort
Josephus Problem Tree Traversal Heaps Quick Sort Merge Sort
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