Welcome to the Algorithm and Data Structure repository! This repository is dedicated to providing clean, efficient, and well-documented implementations of various algorithms and data structures in multiple programming languages. It serves as a reference for students, developers, and enthusiasts interested in learning the intricacies of computer science fundamentals and improving their problem-solving skills.
- Introduction
- What You'll Find
- Why Focus on Algorithms and Data Structures?
- How to Use This Repository
- Contributing
- License
This repository aims to help developers and learners dive deeper into the world of algorithms and data structures by offering intuitive, hands-on implementations. Each algorithm and data structure is implemented with a focus on readability, efficiency, and performance. Whether you're preparing for technical interviews, learning for academic purposes, or just expanding your programming knowledge, this repo is a valuable resource.
- C
- Go
- Haskell
- Julia
- JavaScript
- Julia
- Python
- Ruby
Explore a variety of common and advanced data structures that form the foundation of efficient software systems. Each data structure is implemented with detailed explanations of its time and space complexities.
- Arrays
- Linked Lists (Singly, Doubly, Circular)
- Stacks
- Queues (Standard, Circular, Priority)
- Hash Tables
- Binary Search Trees
- Heaps (Min Heap, Max Heap)
- Graphs (Adjacency List, Matrix)
- Tries (Prefix Trees)
- Merkle Tree
The algorithms in this repository cover a broad range of categories, from sorting and searching to more advanced concepts like dynamic programming and graph traversal.
- Sorting Algorithms
- Quick Sort, Merge Sort, Heap Sort, Bubble Sort, Insertion Sort, etc.
- Searching Algorithms
- Binary Search, Linear Search, etc.
- Graph Algorithms
- Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra’s Algorithm, Kruskal’s Algorithm, etc.
- Dynamic Programming
- Fibonacci, Longest Common Subsequence, Knapsack Problem, etc.
- Greedy Algorithms
- Activity Selection, Huffman Coding, etc.
- Backtracking
- N-Queens, Sudoku Solver, etc.
- Divide and Conquer
- Matrix Multiplication, Closest Pair of Points, etc.
- Mathematical Algorithms
- Prime Number Generation (Sieve of Eratosthenes), Greatest Common Divisor (GCD), etc.