What are the rules for calculating time complexity of algorithms with multiple inputs?
When you design or analyze an algorithm, you want to know how fast it can run and how much memory it can use. One way to measure the performance of an algorithm is by using time complexity, which is a function that describes how the running time of the algorithm depends on the size of the input. But what if the algorithm has more than one input? How do you calculate the time complexity of algorithms with multiple inputs? In this article, you will learn the rules for using Big O notation and notation rules to express the time complexity of algorithms with multiple inputs.