Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
estimate of the number of operations is O(n2).
5. Give a big-O estimate for the number of operations, where an operation is a comparison or a multiplication, used in this segment of an algorithm (ignoring comparisons used to test the conditions in the for loops, where a1 , a2 , ..., an are positive real numbers).
m := 0
for i := 1 to n
for j :=i+1 to n
m := max(ai aj , m)
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 2 steps
Knowledge Booster
Similar questions
- = Exercise 2. Present an O(n) algorithm that sorts n positive integer numbers a1, a2, • An which are known to be bounded by n² - 1 (so 0 ≤ ai ≤ n² − 1, for every i 1,..., n. Use the idea of Radix Sort (discussed in class and presented in Section 8.3 in the textbook). Note that in order to obtain O(n) you have to do Radix Sort by writing the numbers in a suitable base. Recall that the runtime of Radix Sort is O(d(n+k)), where d is the number of digits, and k is the base, so that the number of digits in the base is also k. The idea is to represent each number in a base k chosen so that each number requires only 2 "digits," so d = 2. Explain what is the base that you choose and how the digits of each number are calculated, in other words how you convert from base 10 to the base. Note that you cannot use the base 10 representation, because n² – 1 (which is the largest possible value) requires log₁0 (n² - 1) digits in base 10, which is obviously not constant and therefore you would not…arrow_forwardGiven a sorted array of N+2 integers between 0 and N with exactly one duplicate, design a logarithmic time algorithm to find the duplicate. Note: you don't need to write a code. Just use your English words to describe the algorithmarrow_forwardFind the running time for each of the following algorithms. Show work by finding a table of values for each while loop, writing the summations, then solving. Be sure to show work on both the upper bound and lower bound, justify the split, and check that the bounds differ by only a constant factor. Use asymptotic notation to write the answer. c) Func4(n) 1 2 3 4 567∞∞ s = 0; for i 1 to 5n do 8 j← 3i; while (j < i³) do s+ s + i - j; j+5 x j; end end 8 return (s);arrow_forward
- Another recursive algorithm is applied to some data A = (a₁, ..., am) where m = 2* (i.e. 2, 4, 8,16 ...) where x is an integer ≥ 1. The running time T is characterised using the following recurrence equations: T(1) = c when the size of A is 1 T(m) = 2T (2) + c otherwise Determine the running time complexity of this algorithm.arrow_forward4. Give an analysis of the running time (Big-Oh will do). sum = 0; for( i = 0; i < n; ++i ) for( j = 0; j < n * n; ++j ) ++sum;arrow_forwardFor the pseudo-code below derive the simplified asymptotic running time in Q(?) notation. for i ->1 .. n do j -> n while i < j*j do j -> j – 2arrow_forward
- 1. Determine the running time of the following algorithm. Write summations to represent loops and solve using bounding. Be sure to show work on both the upper bound and lower bound, justify the split, and check that the bounds differ by only a constant factor. Use asymptotic notation to write the answer. Func1(n) 1 2 3 4 5 6 7 8 9 10 11 S← 0; for i ←n to n² do for j← 1 to i do for k9n to 10n² do for mi to k end end end return (s); end s+s + i- j + k −m;arrow_forwardBased on the example given on the image below, give a big-O estimate for the number of operations, where an operation is a comparison or a multiplication, used in this segment of an algorithm.arrow_forwardY= Given the following Truth Table: Inputs ABC Outputs Y 000 001 010 011 100 101 110 111 Σm( X 1 1 0 X 1 1 O 1. Construct a K-Map on Scrap Paper 2. Perform Grouping on Scrap Paper 3. Give the SIMPLEST Boolean Expression for x in the answer box below. 4. Give sum of minterms and sum of don't cares. )+ d( Should you have an empty set please answer with N/A )arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Computer Networking: A Top-Down Approach (7th Edi...Computer EngineeringISBN:9780133594140Author:James Kurose, Keith RossPublisher:PEARSONComputer Organization and Design MIPS Edition, Fi...Computer EngineeringISBN:9780124077263Author:David A. Patterson, John L. HennessyPublisher:Elsevier ScienceNetwork+ Guide to Networks (MindTap Course List)Computer EngineeringISBN:9781337569330Author:Jill West, Tamara Dean, Jean AndrewsPublisher:Cengage Learning
- Concepts of Database ManagementComputer EngineeringISBN:9781337093422Author:Joy L. Starks, Philip J. Pratt, Mary Z. LastPublisher:Cengage LearningPrelude to ProgrammingComputer EngineeringISBN:9780133750423Author:VENIT, StewartPublisher:Pearson EducationSc Business Data Communications and Networking, T...Computer EngineeringISBN:9781119368830Author:FITZGERALDPublisher:WILEY
Computer Networking: A Top-Down Approach (7th Edi...
Computer Engineering
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:PEARSON
Computer Organization and Design MIPS Edition, Fi...
Computer Engineering
ISBN:9780124077263
Author:David A. Patterson, John L. Hennessy
Publisher:Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:9781337569330
Author:Jill West, Tamara Dean, Jean Andrews
Publisher:Cengage Learning
Concepts of Database Management
Computer Engineering
ISBN:9781337093422
Author:Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:Cengage Learning
Prelude to Programming
Computer Engineering
ISBN:9780133750423
Author:VENIT, Stewart
Publisher:Pearson Education
Sc Business Data Communications and Networking, T...
Computer Engineering
ISBN:9781119368830
Author:FITZGERALD
Publisher:WILEY