Algorithms and Data Structures in JavaScript

This repository aims to provideimplementations of various algorithms and data structures using JavaScript. Whether you're a beginner looking to understand fundamental concepts or an experienced developer seeking to refresh your knowledge, this repository has something for everyone.

1. Recursion

Recursion is a fundamental concept in computer science and programming. The recursion directory explores the concept of recursion in JavaScript, providing explanation, examples and exercises to help you grasp technique for solving problems.

2. Searching Algorithms

Searching algorithms are methods used to find a particular item (or items) with specified properties within a collection of data. These algorithms are fundamental in computer science and are widely used in various applications, including databases, information retrieval systems, and more. Searching algorithms - Linear Search Binary Search

3. Sorting Algorithms

Sorting algorithms are efficiently arranging elements in a list or array according to a specific order. Organizing data: Sorting allows you to arrange data in a meaningful way, such as sorting a list of names alphabetically or sorting product prices from low to high. Searching efficiently: Once data is sorted, you can leverage more efficient search algorithms like binary search to quickly find specific elements. Sorting algorithms - Bubble Sort Selection Sort Insertion Merge Quick & Radix Sort

4. Data Structures

A data structure is a specialized format for organizing, processing, retrieving, and storing data in a computer's memory. It defines how data is arranged and how different operations (adding, removing, searching) can be performed efficiently. There are two main categories of data structures: Linear Data Structures Non-Linear Data Structures

5. Dijkstra Algorithm

Dijkstra's algorithm is a powerful tool for finding the shortest path between two points in a graph. Dijkstra's algorithm has numerous applications in various fields, including:

Routing algorithms: Finding the shortest route for navigation apps or delivery services.
Network routing: Optimizing data flow in communication networks.
Computer graphics: Determining the shortest path for light rays in ray tracing algorithms.
Artificial intelligence: Planning optimal paths for search algorithms in game development or robotics.

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