A team of programmers is trying to determine the efficiency of a piece of code. They run the code with inputs of different sizes and also record the number of iterations through the core block of code. The data is recorded in the table below. Input Size Iterations 200 400 600 10 20 30 40 50 100 800 1000 2000 Based on the data provided, does this algorithm run in a reasonable or unreasonable time? Explain your answer Unreasonable because this is exponential.

Respuesta :

Based on the growth rate of iterations as input is increased, fair and unreasonable algorithms are distinguished.

What is efficiency of code?

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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