LeetCode Pattern: 18 Tips & Strategies for Solving Trie (Prefix Tree) Problems (Including 10 Classic Problems & Solutions)

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Trie, also known as Prefix Tree, is a tree-like data structure used for efficiently storing and searching strings.

I. TIPS & STRATEGIES FOR SOLVING TRIE (PREFIX TREE) PROBLEMS:

1. Understand the Problem:

• Clearly understand the problem statement and the requirements for using a Trie. Identify the specific operations you need to perform, such as insertion, deletion, or search.

1.1. Indicators of Trie (Prefix Tree):

i. Prefix Matching:

• If the problem involves searching for words with a common prefix, suggesting efficient prefix-based operations, a trie might be a suitable data structure. Tries excel at handling prefix searches due to their tree-like structure.

ii. Autocomplete or Suggestions:

• If the problem asks for autocomplete suggestions or word suggestions as you type, a trie can efficiently store and retrieve words based on the partial input.

iii. Word Insertion and Search:

• Problems that require inserting words into a data…