Trie (Prefix Tree) Implementation in Go
Trie (Prefix Tree) Implementation in Go A Trie (pronounced “try”), also known as a prefix tree, is a tree-like data structure used to store a dynamic set of strings where…
Trie (Prefix Tree) Implementation in Go A Trie (pronounced “try”), also known as a prefix tree, is a tree-like data structure used to store a dynamic set of strings where…
Autocomplete System Using Trie in Go A Trie (pronounced “try”) is a tree-like data structure that stores a dynamic set of strings, where the keys are usually strings. It is…
Segment Tree Implementation in Go A Segment Tree is a data structure that allows for efficient range queries and updates on an array. It is particularly useful when dealing with…
Fenwick Tree (Binary Indexed Tree) Implementation in Go A Fenwick Tree, also known as a Binary Indexed Tree (BIT), is a data structure that provides efficient methods for cumulative frequency…
AVL Tree Implementation in Go An AVL Tree is a self-balancing binary search tree where the difference in heights between the left and right subtrees (known as the balance factor)…
Red-Black Tree Implementation in Go A Red-Black Tree is a self-balancing binary search tree in which each node contains an extra bit for denoting the color of the node, either…
B-tree Implementation in Go A B-tree is a self-balancing tree data structure that maintains sorted data and allows for efficient insertion, deletion, and search operations. B-trees are commonly used in…
Suffix Array Implementation in Go A suffix array is a data structure that provides a fast and memory-efficient way to perform substring searches in a string. It is an array…
Bloom Filter Implementation in Go A Bloom filter is a space-efficient probabilistic data structure used to test whether an element is a member of a set. False positives are possible,…
Disjoint Set Data Structure in Go The disjoint set, also known as the union-find data structure, is used to keep track of a partition of a set into disjoint (non-overlapping)…