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Browsing Category

LeetCode

17 posts
Photo by Sandro Gonzalez on Unsplash
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  • 384 views
  • 2 minute read
  • LeetCode

211. Design Add and Search Words Data Structure

  • ByWayne
  • 15/08/2023
This problem asks us to build a word dictionary, which is obviously to use Trie. But it also asks to support dots ‘.’ where dots can match any letter.
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Photo by Leyre on Unsplash
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  • 380 views
  • 2 minute read
  • LeetCode

208. Implement Trie (Prefix Tree)

  • ByWayne
  • 15/08/2023
This problem is asking us to implement a very basic Trie.
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Photo by Brooke Lark on Unsplash
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  • 405 views
  • 2 minute read
  • LeetCode

117. Populating Next Right Pointers in Each Node II

  • ByWayne
  • 15/08/2023
This problem requires us to point the next of the left node in each layer to the right node. Because it is processed layer by layer, it is very intuitive to think of using BFS to solve it.
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Photo by Anita Austvika on Unsplash
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  • 352 views
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  • LeetCode

116. Populating Next Right Pointers in Each Node

  • ByWayne
  • 15/08/2023
This problem requires us to point the next of the left node in each layer to the right node. Because it is processed layer by layer, it is very intuitive to think of using BFS to solve it.
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Photo by Karl Anderson on Unsplash
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  • 494 views
  • 2 minute read
  • LeetCode

1376. Time Needed to Inform All Employees

  • ByWayne
  • 15/08/2023
After reading the problem at the beginning, you can probably feel that DFS should be used to solve it. Use DFS to calculate the sum of each inform time from headID to a leaf, and finally take the maximum time.
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Photo by Siegfried Poepperl on Unsplash
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  • 425 views
  • 2 minute read
  • LeetCode

547. Number of Provinces

  • ByWayne
  • 15/08/2023
The idea to solve this problem is to group connected nodes. The first thought is that we can use Union Find to group nodes.
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Photo by Derek Oyen on Unsplash
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  • 463 views
  • 2 minute read
  • LeetCode

200. Number of Islands

  • ByWayne
  • 15/08/2023
The idea to solve this problem is to use DFS or BFS to visit adjacent lands for each unvisited land.
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