A consolidated collection of resources for you to learn and understand algorithms and data structures easily.

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.

This project can help you understand the Data Structure and Algorithms in a more efficient manner. It aims at scheduling the studies for maximizing marks during exams. Most students face this problem during exams that what to study to get the best out of their limited time.

The All ▲lgorithms documentation website.

Coursera's Data Structures and Algorithms Specialization

Competitive Programming DSA Roadmap

Notebook for quick search

My solved DS & Algo problems on GeeksforGeeks. It covers almost every data structure and algorithm present that is must for practice to have a good hand on Competitive Programming.

Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.

Grokking Algorithms written in Javascript

围住神经猫游戏算法的实现，objc版本 和 javascript版本

My Leetcode Solutions

A fun study of some heuristics for the Travelling Salesman Problem.

Algorithms and Data Structures.

AllGoRhythms. This is a lovely repository about Algorithms and Algorithms Design.

Multi-hop VANET-Clustering Algorithm Using Greedy Method

Vehicle Routing Problem with Time Windows solver using Ant Colony Optimization, Greedy Algorithm

LLM Beam Search Example Implementation

It's like Marching Cubes but not really. Based on the algorithm described by Chien-Chang Ho et al. in Adaptive Feature Preserving Surface Extraction from Volume Data.

All DSA-2 topics are covered in the UIU DSA-2 course, including both lab and theory courses. Check DSA-1 Topics: https://github.com/TashinParvez/DSA_1_UIU