Applications of Sorting Algorithms
- Searching Algorithms: Sorting is often a crucial step in search algorithms like binary search, Ternary Search, where the data needs to be sorted before searching for a specific element.
- Data management: Sorting data makes it easier to search, retrieve, and analyze.
- Database optimization: Sorting data in databases improves query performance.
- Machine learning: Sorting is used to prepare data for training machine learning models.
- Data Analysis: Sorting helps in identifying patterns, trends, and outliers in datasets. It plays a vital role in statistical analysis, financial modeling, and other data-driven fields.
- Operating Systems: Sorting algorithms are used in operating systems for tasks like task scheduling, memory management, and file system organization.
Sorting Algorithms
A Sorting Algorithm is used to rearrange a given array or list of elements according to a comparison operator on the elements. The comparison operator is used to decide the new order of elements in the respective data structure.
For Example: The below list of characters is sorted in increasing order of their ASCII values. That is, the character with a lesser ASCII value will be placed first than the character with a higher ASCII value.
Table of Content
- What is Sorting?
- Sorting Terminology
- Characteristics of Sorting Algorithms
- Applications of Sorting Algorithms
- Basics of Sorting Algorithms
- Sorting Algorithms
- Library Implementations
- Easy Problems on Sorting
- Medium Problems on Sorting
- Hard Problems on Sorting
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