Скачать или смотреть 🚀 Graph Tutorial 4: Breadth First Search (BFS) | Connected Graph | Traversal | Data Structures

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In this video, we're going to explore Graph Traversal, specifically looking at Breadth-First Search (BFS). Graph traversal is a key idea in graph theory, and it plays a significant role in solving real-life problems, such as finding the shortest path through a map or checking how networks connect with each other. By getting a good grasp of graph traversal methods, you'll also be able to tackle more complex subjects like connected components, bipartite graphs, and tree structures.

► Basically, there are two main ways to traverse a graph:
• Breadth-First Search (BFS) – Explores all neighbors at the current depth before moving to the next level.
• Depth-First Search (DFS) – Explores as far as possible along each branch before backtracking.

► Why is Graph Traversal Important?
Graph traversal is crucial because it serves as the foundation for numerous algorithms that deal with graphs. It allows us to systematically explore nodes, helping us tackle various problems such as:

• Finding the shortest paths between points, especially with algorithms like BFS that work well with unweighted graphs.
• Detecting cycles within a graph.
• Determining if a graph is bipartite, meaning it can be divided into two distinct sets.
• Solving puzzles and games that can be represented as graphs.
• Implementing search features in artificial intelligence applications and routing algorithms.
• Overall, graph traversal is essential for effectively navigating and analyzing graph structures.

► What Makes BFS Unique?
BFS, or Breadth-First Search, stands out for a few key reasons.
First, it tackles nodes one level at a time, which is great for situations where you want to check all options at a certain depth before going further down. This makes it especially useful for finding the shortest path in unweighted graphs, which is vital for things like navigation and routing.

► In this video, you'll learn:
• The detailed theory behind BFS traversal.
• Step-by-step implementation in Java, with every line of code explained clearly.
• How BFS differs from DFS and when to use which traversal technique.
• Real-world examples where BFS can be applied.
• Whether you're preparing for coding interviews, competitive programming, or just trying to build a strong foundation in data structures, this video is for you!

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►►Playlist:
Graph Tutorial 1: Introduction to Graph | Types | Terminologies:    • 🚀 Graph Tutorial 1: Introduction to Graph ...  
Graph Tutorial 2: Representation of Graph in Java | Which one is Best :    • 🚀 Graph Tutorial 2: Representation of Grap...  
Graph Tutorial 3: Graph Simplified Implementation in Java:    • 🚀 Graph Tutorial 3: Graph Implementation S...  
Graph Tutorial 4 : Breadth First Search (BFS) | Traversal Technique:    • 🚀 Graph Tutorial 4: Breadth First Search (...  
Graph Tutorial 5 : Depth First Search (DFS) | Traversal Technique:    • 🚀 Graph Tutorial 5 : Depth First Search (D...  
Graph Tutorial 6: BFS & DFS Traversal For Disconnected Graph:    • 🚀 Graph Tutorial 6: BFS & DFS Traversal Fo...  
Graph Tutorial 7: Number of Provinces | Connected Components:    • 🚀 Graph Tutorial 7: Number of Provinces | ...  
Graph Tutorial 8: Number of Islands | Count Connected Components in Matrix:    • 🚀 Graph Tutorial 8: Number of Islands | Co...  
Graph Tutorial 9: Rotten Oranges Leetcode:    • 🚀 Graph Tutorial 9: Rotten Oranges Leetcod...  
Graph Tutorial 10: Detect a Cycle in an Undirected Graph using BFS:    • 🚀 Graph Tutorial 10: Detect a Cycle in an ...  
Graph tutorial 11: Detect a Cycle in an Undirected Graph using DFS:    • 🚀 Graph tutorial 11: Detect a Cycle in an ...  
Graph Tutorial 12 : Detect Cycle in a Directed Graph using DFS :    • 🚀 Graph Tutorial 12 : Detect Cycle in a Di...  
Graph Tutorial 13: What is Topological Sorting:    • 🚀 Graph Tutorial 13: What is Topological S...  
Graph Tutorial 14: Topological Sort Algorithm using DFS Traversal:    • 🚀 Graph Tutorial 14: Topological Sort Algo...  

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