Topological Sort is a linear ordering of vertices in a Directed Acyclic Graph (DAG) such that for every directed edge u → v, node u comes before v in the order. Key Points (Quick Revision) Topological Sort in Simple Words Topological Sort means: Real-Life Example Think about: This is dependency-based ordering, that is, Topological Sort….
If you are using ChatGPT only for random questions, you are not using its full potential. Today, smart students are using ChatGPT as a personal tutor, note-maker, and problem solver — and saving hours every day. In this guide, you will learn how to use ChatGPT for studying effectively, even if you are a complete…
Dijkstra Algorithm is used to find the shortest path from a source node to all other nodes in a weighted graph where weights are non-negative. Key Points (Quick Revision) Dijkstra in Simple Words It always chooses the minimum distance first. Real-Life Example Think about Google Maps: That’s the Dijkstra Algorithm. Example Graph (4) A ——-…
Depth First Search (DFS) is a graph traversal algorithm that explores nodes as deep as possible before backtracking. It uses a stack (or recursion) to visit nodes. Key Points (Quick Revision) DFS in Very Simple Words DFS means: It works like exploring a maze. Real-Life Example Imagine: This is exactly how DFS works. Example Graph…
If you are a student and still doing everything manually — making notes, revising chapters, writing assignments — then you are spending more time than necessary. Today, smart students don’t just work hard, they work smart. And one of the biggest reasons behind this shift is the use of AI tools. In this guide, you…
Breadth First Search (BFS) is a graph traversal algorithm that visits nodes level by level using a queue (FIFO). It is commonly used to find the shortest path in an unweighted graph. Key Points (Quick Revision) BFS in Very Simple Words BFS is like spreading out step by step. It works like a wave or…
Graph Representation in Data Structures – When we work with graphs in programming, we need a way to store the graph inside the computer. This is called Graph Representation. There are two main ways to represent a graph: Why do we need Graph Representation? A graph is made of: But a computer cannot directly understand…
A Graph is a nonlinear data structure used to represent connections between different things. Unlike trees, a graph does not have a root node, and it does not follow a strict parent-child structure. A graph is made up of: Simple Real-Life Example of Graph All of these form a network, and networks are best represented…