Introduction to Algorithms
Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 2.1, Problem 3E
Program Plan Intro

To write the pseudo code for linear search and also discuss the three necessary properties.

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Question # 01: Consider the searching problem: Input: A sequence of n numbers A = (a1, a2, a3, an ) a value V. Output: An index i such that v = A[i] or the special value NIL if v does not appear in A. Write pseudocode for linear search, which scans through the sequence, looking for v. Using a loop invariant, prove that your algorithm is correct. Make sure that your loop invariant fulfills the three necessary properties.
The intersection of two sets contains the list of elements that are common to both, without repetition. As such, you are required to write an algorithm that finds and returns the intersection of two sets A and B. The sets A and B and the resulting intersection set are all lists. Assume the size of A is n and that of B is m. (a) Write an iterative algorithm that finds the intersection. (b) Prove the correctness of your algorithm; i.e. state its loop invariant and prove it by induc- tion. (c) Analyze the time complexity of your algorithm. (d) Think of a way to enhance the complexity of your algorithm by sorting both lists A and B before calculating their intersection. Write the enhanced version and prove that it has a better time complexity.
2.3-1 Using Figure 2.4 as a model, illustrate the operation of merge sort on the array A = (3, 41, 52, 26, 38, 57, 9, 49). 5 2 2 5 merge 2 1 4 2 5 merge 4 4 2 7 sorted sequence 3 4 7 merge merge 1 7 initial sequence 5 1 3 merge 3 6 7 2 3 merge 2 2 6 6 merge 6
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