In BFS, we start with a node. 1) Create a queue and enqueue source into it. Mark source as visited. 2) While queue is not empty, do following a) Dequeue a vertex from queue. Let this be f. b) Print f c) Enqueue all not yet visited adjacent of f and mark them visited.
Below is an example BFS starting from source vertex 1. Note that there can be multple BFSs possible for a graph (even from a particular vertex).
The code here is simplified such that it could be used in competitive coding.
Input: 8 10 0 1 0 2 0 3 0 4 1 5 2 5 3 6 4 6 5 7 6 7 Output: 0 1 2 3 4 5 6 7
This article is contributed by Nikhil Mahendran. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
- Why is python best suited for Competitive Coding?
- Python Tricks for Competitive Coding
- Tips and Tricks for Competitive Programmers | Set 2 (Language to be used for Competitive Programming)
- What coding habits improve timing in coding contest?
- Geeks Coding Challenge [GCC 2019] - A Three Day Coding Challenge By GeeksforGeeks
- How can competitive programming help you get a job?
- C++ tricks for competitive programming (for C++ 11)
- Bit Tricks for Competitive Programming
- Which C++ libraries are useful for competitive programming?
- What is Competitive Programming and How to Prepare for It?
- Must do Math for Competitive Programming
- Python in Competitive Programming
- What Are The Best Resources For Competitive Programming?
- A competitive programmer's interview
- How to begin with Competitive Programming?
- Fast I/O for Competitive Programming
- A Better Way To Approach Competitive Programming
- How to become a master in competitive programming?
- Competitive Programming: Conquering a given problem
- Some important shortcuts in Competitive Programming