# Discrete Math help

Algorithm Analysis

- Consider searching algorithms on the following array of data:
[22 21 9 4 16 2 10 14 20 31 26 19 17 28 8 13]

Suppose you want to implement a searching algorithm to see if the data set contains the number 19. Demonstrate how the search would go if you used:

- A sequential search
- A binary search

State the runtime for each of the searches, in this example, and for general data sets of size

*n*. Address the issue of the order of the data in binary searching. - Suppose an algorithm that processes a data set of size 8 has a runtime of 72. The same algorithm has a runtime of 110 when applied to a data set of size 10; and when applied to a data set of size 20, it has a runtime of 420. Using big-O notation, state the runtime for this algorithm for the general case of a data set of size
*n*. - Suppose you develop an algorithm that processes the first element of an array (length of
*n*), then processes the first 2 elements, then the first 3 elements, and so on, until the last iteration of a loop, when it processes all elements. Thus, if n = 4, the runtime would be 1 + 2 + 3 + 4 = 10.- Create a table that depicts the runtime for arrays of length 1 to 10. Would you expect the general runtime to be O(
*n*), O(*n*^{2}), O(*n*^{3}), or some other function of*n*? Explain.

- Create a table that depicts the runtime for arrays of length 1 to 10. Would you expect the general runtime to be O(

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