Data Structures and Algorithms in Java
Data Structures and Algorithms in Java
6th Edition
ISBN: 9781118771334
Author: Michael T. Goodrich
Publisher: WILEY
Question
Book Icon
Chapter 4, Problem 28R
Program Plan Intro

Largest size of n of a problem P:

The following table is need to fill the time taken for each function “f(n)” that the algorithm need to take solve “P” in “f(n)” microseconds.

Before filling the table, let us discuss about the calculation of following time for second, hour, month and century.

  • It is known that 1 microsecond is 106 seconds. Thus,

1second =106microseconds

hour = 3600000000 = 3.6 ×109microseconds,

1month  = 2592000000000 (assume a monthhas 30 days)= 2.592×1012 microseconds

1century=3110400000000000 = 3.1104 ×1015 microseconds

Blurred answer
Students have asked these similar questions
Problem FIG can be solved in O(RK + R log log n) time usingθ(R) space.Write Algorithm for it
Given an n-element array X of integers, Algorithm A executes an O(n) time computation for each even number in X and an O(log-n) time computation for each odd number in X. What are the best case and worst case for running time of algorithm C?
Consider the following algorithm: function MYSTERY(A, n) /Input: Array A and integer n. A has size of least n if n <1 then return 0 else temp + 3 x A[n – 1]+ MYSTERY(A,n – 2) return temp (a) Write down recurrence equations that describe the running time of the algorithm. Assume the base operation has a cost k. (b) Solve these recurrence equations and give the asymptotic time complexity of the algorithm. Use Big-O notation for your answer.

Chapter 4 Solutions

Data Structures and Algorithms in Java

Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
C++ Programming: From Problem Analysis to Program...
Computer Science
ISBN:9781337102087
Author:D. S. Malik
Publisher:Cengage Learning