An algorithm has liner time complexity and can process an input of size n in a certain amount of time. If the algorithm runs on a computer that has a processor that is 5 times as fast, how large of an input can be processed in the same amount of time? A. n + 5 B. 5n C. n / 5 D. n^5 E. 5^n

Given that the efficiency of an algorithm is 5n2 , if a step in this algorithmtakes 1 nanosecond (10–9 seconds), how long does it take the algorithm toprocess an input of size 1000?

Consider an algorithm A with running time n√n. Assume that A can solve instances of size n on a machine that takes 10−12 seconds per operation. What size instances (in terms of n) can A solve in the same time on a machine that takes 10−15 seconds per operation?

An algorithm iterates 10 times for an input of size n. What is the best-case time complexity?

Time complexities of three algorithms are given. Which should execute the slowest for largevalues of N?(A) O(N^0.5)#(B) O(n)(C) O(logN)(D) O(log2n)(E)O(NlogN

If an algorithm has a time complexity of O(n^2), which of the following input sizes will cause the running time to increase the most?Doubling the input sizeTripling the input sizeHalving the input sizeKeeping the input size constantClear ResponseSave & Next