Data Structures and Algorithms in Java
Data Structures and Algorithms in Java
6th Edition
ISBN: 9781119278023
Author: Michael T. Goodrich; Roberto Tamassia; Michael H. Goldwasser
Publisher: Wiley Global Education US
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Chapter 4, Problem 53C

Explanation of Solution

Given:

It is given that i=1nlogi=Ω(nlogn).

Proof:

Let us prove the above statement by the following assumption that “n” is even number of integers:

i=1nlog2ii=n/2nlog2ii=n/2nlog2i=i=n/2nlog2n/2=i=n/2n(log2n)(log22)(Note:log2=1)

=i=n/2n(log2

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Students have asked these similar questions
3. Prove by induction that T(n) = 2T (n/2) + cn is O(n logn).
Question 3) Use the master theorem to give an asymptotic tight bound for the following recurrences. Tell me the values of a, b, the case from the master theorem that applies (and why), and the asymptotic tight bound. 3a) T(n) = : 2T (n/4) + n 3b) T(n) = 16T(n/4) + (√√n)³
Show that n+ + ++... is O(n) 4r 8r

Chapter 4 Solutions

Data Structures and Algorithms in Java

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