Shortest Path Algorithms | BFS & Dijkstra in C++ Explained

Описание: In this video, we break down Breadth-First Search (BFS), one of the most fundamental algorithms in graph theory and computer science. Using the simple analogy of a ripple spreading in a pond, we explain BFS in a way that's easy to visualize and understand.

You’ll learn:

What BFS is and how it works level by level

How to implement BFS with a queue (FIFO)

Why a visited array is crucial to avoid loops

Step-by-step BFS traversal with example nodes

Real-world applications: GPS navigation, web crawlers, and social network connections

Common mistakes to avoid and pro tips for efficient BFS

Perfect for Data Structures & Algorithms learners, competitive programming, and anyone preparing for coding interviews.

Search in Video

0:00 Introduction to BFS
0:18 BFS analogy: ripple in a pond
1:03 Official definition simplified
1:33 Key tools: queue (FIFO) and visited array
2:33 Step-by-step BFS blueprint
3:36 BFS traversal example (nodes 0,1,3,4,2)
4:50 BFS code overview and efficiency
5:50 BFS applications in real life
6:17 Common mistakes to avoid
7:00 Pro tips for correct BFS implementation

Key Takeaways

BFS explores graphs level by level, guaranteeing the shortest path in terms of number of steps

Always use a queue (FIFO) and mark nodes as visited when adding to the queue

BFS is ideal when all steps have the same cost, such as city blocks, grids, or network hops

Powers everyday technology: GPS, web crawlers, and social networks

Hashtags

#BreadthFirstSearch
#BFSAlgorithm
#GraphAlgorithms
#DataStructures
#ShortestPath
#ComputerScience
#Algorithms
#CodingInterview