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types of data structure

Hustler answered on March 5, 2022 Popularity 8/10 Helpfulness 1/10

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types of data structure

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Types of Data Structures
Data structures are fundamental to computer science, providing efficient ways to organize and manage data. They can be classified into two primary categories:

Linear Data Structures
Linear data structures arrange data elements sequentially, one after the other.

Arrays:

A collection of elements of the same data type stored in contiguous memory locations.
Access elements by their index.
Efficient for random access but inefficient for insertions and deletions.
Linked Lists:

A sequence of elements where each element points to the next.
Dynamic in size, allowing efficient insertions and deletions.
Types: singly linked list, doubly linked list, circular linked list.
Stacks:

Follows LIFO (Last In, First Out) principle.
Elements are added (pushed) and removed (popped) from the same end.
Applications: function calls, undo/redo operations.
Queues:

Follows FIFO (First In, First Out) principle.
Elements are added (enqueued) at the rear and removed (dequeued) from the front.
Applications: task scheduling, breadth-first search.
Non-Linear Data Structures
Non-linear data structures don't have a sequential arrangement.

Trees:

Hierarchical structure with a root node and child nodes.
Types: binary tree, binary search tree, AVL tree, heap, trie.
Applications: file systems, decision-making, searching, sorting.
Graphs:

A collection of nodes (vertices) connected by edges.
Represents relationships between data elements.
Types: directed, undirected, weighted, unweighted.
Applications: social networks, routing algorithms, map applications.
Hash Tables:

Uses a hash function to map keys to indices in an array.
Provides efficient insertion, deletion, and search operations.
Applications: databases, caches, symbol tables.
Other Important Data Structures
Tries:

A tree-like data structure used for efficient retrieval of keys.
Applications: autocomplete, spell checking, dictionary implementation.
Heaps:

A complete binary tree where nodes are ordered based on their values.
Types: min-heap, max-heap.
Applications: priority queues, heap sort.
Choosing the Right Data Structure
The choice of data structure depends on the specific problem you're trying to solve. Consider factors like:

Data size and type: How much data will you store, and what kind of data is it?
Access patterns: How will you access the data (sequential, random, etc.)?
Time and space complexity: What are the performance requirements?
Insertions and deletions: How often will you add or remove elements?

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Contributed on Jul 27 2024

Hustler

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Data type is the representation of nature and type of data that has been going to be used in programming

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Contributed on Mar 05 2022

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