Breadth First Search - Data Structures and Algorithms скачать в хорошем качестве

Breadth First Search - Data Structures and Algorithms

This video provides a clear and concise explanation of Breadth First Search (BFS), a fundamental traversal algorithm in Data Structures and Algorithms. BFS explores nodes layer by layer, making it effective for finding the shortest path in unweighted graphs and trees. 🔍 In this video, you will learn: • What Breadth First Search (BFS) is • How BFS starts from a root or chosen node • How BFS visits nodes level by level (distance 1, distance 2, and so on) • Why BFS uses a queue (FIFO) • Advantages and disadvantages of BFS • How queues and stacks affect search algorithms • How BFS finds the path from the root to the goal • Step-by-step explanation of how the BFS algorithm works • A simple BFS example • Key differences between Breadth-First Search (BFS) and Depth-First Search (DFS) 📌 Algorithm Overview: BFS initializes a queue and a visited list, enqueues the starting node, and repeatedly dequeues nodes while adding all unvisited neighbors until all nodes are explored or the goal is found. 🎯 Why BFS? ✔️ Guaranteed to find a solution if one exists ✔️ Finds the solution with the minimum number of steps ✔️ Does not get trapped exploring useless paths ⚠️ Limitations: • High memory usage due to large space requirements • Can be time-consuming if the goal is far from the root #BreadthFirstSearch #BFS #DataStructures #Algorithms #DSA #GraphTraversal #TreeTraversal #ComputerScience #Queue