Consider the problem we studied in Studio 5: searching a sorted array A[1::n] for the leftmost occurrence of a query value x. Recall that the binary search algorithm solves this problem and returns the index of the element in the array if it is present, or \not found" if it is not present. Binary search is one algorithm for this problem, but is it the fastest possible?

Sarah is having a hard time finding a template for her advertising business that she may be able to use at a later date and also make it available to her colleagues

Acase study allows a more detailed look at the life of a single subject than any other study.

Write a method named addall that could be placed inside the hashintset class. this method accepts another hashintset as a parameter and adds all elements from that set into the current set, if they are not already present. for example, if a set s1 contains [1, 2, 3] and another set s2 contains [1, 7, 3, 9], the call of s1.addall(s2); would change s1 to store [1, 2, 3, 7, 9] in some order. you are allowed to call methods on your set and/or the other set. do not modify the set passed in. this method should run in o(n) time where n is the number of elements in the parameter set passed in.