Data Structures and Algorithms in Java
Data Structures and Algorithms in Java
6th Edition
ISBN: 9781118771334
Author: Michael T. Goodrich
Publisher: WILEY
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Chapter 4, Problem 25R

Explanation of Solution

Given:

It is given that the n2 is Ω(nlog n)

Big-Omega notation:

In asymptotic notation for lower bound, let “f” and “g” be functions from the integers or the real numbers to the real numbers. It means that Ω(g(n)) = f(n) if there exist positive constants “c(c>0) in real numbers, such that 0 cg(n)  f(n) for all n  n0.

Proof:

Let us assume that f(n) = n2 and g(n) = nlog n

  • According to big-omega definition, f(n)Ωg(n) when positive constants “c(c>0) in real numbers, such that 0 cg(n)  f(n) for all n  n0.
  • In other words, it can written as follows:

    n2=c

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Students have asked these similar questions
Question 1) 4T(n/2) + n turns out to be T(n) The solution to the recurrence T(n) that a substitution proof with the assumption T(n) ≤ cn² fails. Then show how to subtract a lower-order term to make a substitution proof work. = = (n²³). . Show
. Prove that n2 + 1  2n, where n is a positive integer with 1  n  4.
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Chapter 4 Solutions

Data Structures and Algorithms in Java

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