Advanced data structures are specialized data structures that are designed to solve specific problems

Advanced data structures often require a deeper understanding of computer science and algorithms

Examples of advanced data structures include hash tables, heaps, tries, suffix trees, and bloom filters.

Hash tables are a data structure that stores data in an array-like format, but uses a hash function to map keys to indices

Hash tables

Heaps are a tree-based data structure in which each node is greater than or equal to the values of its children or less than or equal to the values of its children.

Heaps

Tries are a tree-based data structure that is used for efficient string matching and prefix search

Tries

Bloom filters are a probabilistic data structure that is used to test whether an element is a member of a set,

Bloom filters

Advanced data structures can be implemented using arrays, linked lists, or dynamically-allocated memory