1. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { }...
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1. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { } count = 0 for i=1 to n { if (a[i] == val) count count + 1 } return count = 2. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as Big O notation. 3. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation. 1. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { } count = 0 for i=1 to n { if (a[i] == val) count count + 1 } return count = 2. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as Big O notation. 3. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation.
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Related Book For
Discrete Mathematics and Its Applications
ISBN: 978-0073383095
7th edition
Authors: Kenneth H. Rosen
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