/Algorithms

Discover efficient problem-solving algorithms with clear explanations and practical examples. Elevate your computational skills and conquer diverse challenges.

Primary LanguageC

Algorithms

Introduction

Welcome to the Algorithms Repository! This repository is a collection of diverse and efficient algorithms, accompanied by clear explanations, code implementations, and practical applications. Whether you're a seasoned developer or a learner, this repository aims to enhance your problem-solving skills and understanding of algorithmic principles.

Contents

  • Sorting Algorithms: Efficient algorithms for sorting data sets.
  • Searching Algorithms: Efficient algorithms for searching elements in data sets.
  • Graph Algorithms: Algorithms for graph traversal and analysis.
  • Dynamic Programming: Optimal solutions for various problems using dynamic programming techniques.
  • Machine Learning Algorithms: Algorithms related to machine learning and data analysis.

How to Use

Each algorithm is categorized and documented in its respective directory. Navigate to the specific algorithm's directory to access the code implementation, a brief explanation of the algorithm, time and space complexity analysis, and potential use cases.

Contributing

Contributions are welcome! If you have an algorithm you'd like to add or improvements to an existing one, feel free to submit a pull request. Please adhere to the repository's guidelines and maintain code quality and clarity.

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