C++ Implementation of Trie Data Structure

In this post, we will discuss C++ implementation of Trie Data Structure which supports insertion, deletion and search operations.


 

 
We know that Trie is a tree-based data structure, which can be used for efficient retrieval of a key in a huge set of strings. In the previous post, we have discussed about Trie data structure in detail and also covered its implementation in C. In this post, C++ implementation of Trie data structure is discussed which is way more cleaner than the C implementation.

 
Below is C++ implementation of Trie data structure which supports insertion, deletion and search operations.

 

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Output:

1 1 0 1 1
0 1 1
0 1 1
0 1 0
Trie empty!!
0

 
The Time complexity of a Trie data structure for insertion, deletion and search operation is O(n) where n is key length.

The space complexity of a Trie data structure is O(N*M*C) where N is the number of strings and M is the highest length of the string and C is the size of the alphabet.

 
Also see:

1. Memory efficient Trie Implementation in C++ using Map (Insert, Search and Delete)

2. Java Implementation of Trie Data Structure

 
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