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How to Search | What is BFS
Breadth First Search
course content

Course Content

Breadth First Search

Breadth First Search

1. What is BFS
2. Practice
3. Improve Your Code
4. Solving the Problems using BFS

bookHow to Search

Breadth First Search (BFS), or Traversal is an algorithm for searching on graph data structure for a node. This algorithm is useful, for example, for searching the shortest path between two nodes, and you can see how it works on example:

The main approach: for the current node, traverse all neighbors that haven’t been visited yet, and do BFS for them. Algorithm is a technique to do graph traversal.

For tracking path, use queue data structure. When you are visiting node (this is a first element in the queue), push all non-visited neighbors of it to the queue, and remove the current node. This way, you’ll traverse all the neighbors one by one.

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Section 1. Chapter 1
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bookHow to Search

Breadth First Search (BFS), or Traversal is an algorithm for searching on graph data structure for a node. This algorithm is useful, for example, for searching the shortest path between two nodes, and you can see how it works on example:

The main approach: for the current node, traverse all neighbors that haven’t been visited yet, and do BFS for them. Algorithm is a technique to do graph traversal.

For tracking path, use queue data structure. When you are visiting node (this is a first element in the queue), push all non-visited neighbors of it to the queue, and remove the current node. This way, you’ll traverse all the neighbors one by one.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 1
toggle bottom row

bookHow to Search

Breadth First Search (BFS), or Traversal is an algorithm for searching on graph data structure for a node. This algorithm is useful, for example, for searching the shortest path between two nodes, and you can see how it works on example:

The main approach: for the current node, traverse all neighbors that haven’t been visited yet, and do BFS for them. Algorithm is a technique to do graph traversal.

For tracking path, use queue data structure. When you are visiting node (this is a first element in the queue), push all non-visited neighbors of it to the queue, and remove the current node. This way, you’ll traverse all the neighbors one by one.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Breadth First Search (BFS), or Traversal is an algorithm for searching on graph data structure for a node. This algorithm is useful, for example, for searching the shortest path between two nodes, and you can see how it works on example:

The main approach: for the current node, traverse all neighbors that haven’t been visited yet, and do BFS for them. Algorithm is a technique to do graph traversal.

For tracking path, use queue data structure. When you are visiting node (this is a first element in the queue), push all non-visited neighbors of it to the queue, and remove the current node. This way, you’ll traverse all the neighbors one by one.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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