DataStructureAndAlgorithm Study Engine

DataStructureAndAlgorithm Study Engine

Welcome to the DataStructureAndAlgorithm Study Engine! This repository serves as a comprehensive resource for documenting various concepts related to data structures and algorithms.

Table of Contents

1. Introduction to Data Structures

   • Array
   • Linked List
   • Stack
   • Queue
   • Tree
   • Graph
   • Hash Table

2. Basic Algorithms

   • Sorting Algorithms (Bubble Sort, Insertion Sort, Selection Sort)
   • Searching Algorithms (Linear Search, Binary Search)
   • Recursion
   • Greedy Algorithms
   • Dynamic Programming

3. Advanced Data Structures

   • Heap
   • Priority Queue
   • Trie
   • Disjoint Set (Union-Find)
   • AVL Tree
   • Red-Black Tree
   • B-Trees

4. Advanced Algorithms

   • Graph Traversal Algorithms (BFS, DFS)
   • Shortest Path Algorithms (Dijkstra's Algorithm, Bellman-Ford Algorithm)
   • Minimum Spanning Tree Algorithms (Prim's Algorithm, Kruskal's Algorithm)
   • String Matching Algorithms (Brute Force, Knuth-Morris-Pratt)
   • Divide and Conquer Algorithms
   • Backtracking Algorithms

5. Problem Solving Techniques

   • Sliding Window Technique
   • Two Pointers Technique
   • Binary Search Technique
   • Memoization and Tabulation

6. Interview Preparation

   • Commonly Asked Questions
   • Coding Challenges
   • Tips and Tricks

How to Use

To make the most of this repository, simply navigate to the desired topic within the table of contents. Each section contains detailed explanations, code examples, and illustrations to help you understand and implement the concepts effectively.

Feel free to explore, learn, and contribute to this repository. We hope that this study engine will be a valuable resource for your journey to mastering data structures and algorithms.

Happy coding!