Based on the growth rate of iterations as input is increased, fair and unreasonable algorithms are distinguished.
A general word used to describe the dependability, speed, and programming approach utilized in developing codes for an application is "code efficiency." Algorithmic effectiveness and the speed at which software is executed at runtime are directly related to code efficiency.
Because the algorithm does not grow exponentially, we can assume that it runs in a reasonable length of time.
assessing the mathematical function that simulates the algorithm's growth rate as the number of inputs increases;
200 equals 10,000; k is the proportionality constant.
k = 200/10\sk = 20
As a result, n = 20i, where I is the input size, is the function that represents the number of iterations.
Because the iteration does not increase exponentially, it completes in a reasonable amount of time.
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