We are given two integer arrays X and Y, write a program to check whether array Y is a subset of array X or not. An array Y is a subset of another array X if each Y element is present in X. How do you check if one array is a subset of another? Explore and Enjoy!
The counting sort algorithm assumes that each n input element is an integer in the range 0 to k. So by using array indexing as a tool for determining relative order, counting sort can sort n numbers in O(k + n) time when k = O(n). In other words, counting sort is one of the popular linear time sorting algorithms that works in O(n) time complexity if input elements are an integer in the range 0 to k.
Iterative and Recursive approaches are important for solving data structures and algorithms problems. An iterative approach is about repeatedly executing some code statements using a loop, and a recursive method involves solving the problem using the smaller sub-problems.
Comparison-based sorting algorithms like merge sort, quicksort, insertion sort, heap sort, etc., determine the sorted order based on the comparisons between the input elements. We call such algorithms comparison sort. The critical question is: Why is the lower bound of comparison sort O(nlogn)? Explore this blog to get an answer!