Approximation-Algorithms

This repository is dedicated to exploring the world of approximation algorithms and their implementation in multiple programming languages. It covers a wide range of approximation algorithm concepts, including NP-hard problems, trade-off between solution quality and running time, and probabilistic algorithms. Each algorithm is presented with a clear explanation of its working principles, approximation ratio, and code examples for easy understanding. Whether you're a beginner looking to learn about approximation algorithms or an experienced programmer seeking to expand your knowledge, this repository is a valuable resource for anyone interested in this field. With its comprehensive coverage of approximation algorithms, this repository is an excellent tool for improving your skills and finding the best solution for your problems that require a balance between solution quality and computational resources.