Analyze the worst-case time complexity of the | Ch 3.3 - 28E

Discrete Mathematics and Its Applications | 7th Edition | ISBN: 9780073383095 | Authors: Kenneth Rosen

Problem 28E Chapter 3.3

Discrete Mathematics and Its Applications | 7th Edition

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Discrete Mathematics and Its Applications | 7th Edition | ISBN: 9780073383095 | Authors: Kenneth Rosen

Discrete Mathematics and Its Applications | 7th Edition

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Problem 28E

Analyze the worst-case time complexity of the algorithm you devised in Exercise 30 of Section 3.1 for locating all modes in a list of nondecreasing integers.

Step-by-Step Solution:

Step 1:

In this problem, we have to explain the worst-case time complexity and we have to find an algorithm for locating all modes in a list of nondecreasing integers.

Step 2:

1) Worst Case:

In the worst case time complexity, we calculate upper bound on running time of an algorithm. We know that the case a maximum number of operations to be executed.For linear search, the worst case happens when the element to be searched is not present in the array. If x is not present, then the search() functions compare it with all the elements of arr[] one by one. Therefore, the worst case time complexity of linear search is defined by  (n).

Step 3 of 3

Chapter 3.3, Problem 28E is Solved
Textbook: Discrete Mathematics and Its Applications
Edition: 7th
Author: Kenneth Rosen
ISBN: 9780073383095

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Analyze the worst-case time complexity of the | Ch 3.3 - 28E

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