Sorting Algorithms That Use Hash Tables

The process of sorting is an essential undertaking in the field of computer science. Over the course of time, numerous algorithms for sorting have been developed in order to optimize various kinds of datasets. Although comparison-based sorting algorithms such as QuickSort, MergeSort, and HeapSort are well-known, there are also techniques that are less well-known that use hash tables to improve efficiency in sorting under certain conditions. An examination of sorting algorithms that make use of hash tables is presented in this article. The advantages, use cases, and potential downsides of these algorithms are discussed. For the purpose of providing a more in-depth understanding of when and why you might use hash tables, we will delve into the ways in which hash tables can be utilized to sort data in an efficient manner.

What is a Hash Table?

Before beginning to explore sorting algorithms that are based on hash tables, it is vital to have a solid understanding of what a hash table is and why it is valuable. As a data structure, a hash table is one that holds information in the form of key-value pairs. The values can be accessed quickly depending on their keys thanks to this feature. The hash function is used to accomplish this, and it is responsible for computing an index, which is also referred to as a hash code, in which the…