The insert, update, delete, and search functions discussed in the slides are designed such that there are no holes assumed to be in the unsorted array. Your friend thinks that they can be coded to be equally as good in the worst case situations even if there are holes while still only using just the array and a “currentSize” variable. Is he right? Address this by doing/answering the following: Describe how the search algorithm changes if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Describe how the update algorithm changes (if any) if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Describe how the delete algorithm changes since it no longer needs to “fill the hole”. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Now describe an insert algorithm that has to account for possible holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Summarize your conclusion about your friend’s assertion in a couple of sentences or a short paragraph
The insert, update, delete, and search functions discussed in the slides are designed such that there are no holes assumed to be in the unsorted array. Your friend thinks that they can be coded to be equally as good in the worst case situations even if there are holes while still only using just the array and a “currentSize” variable. Is he right? Address this by doing/answering the following: Describe how the search algorithm changes if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Describe how the update algorithm changes (if any) if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Describe how the delete algorithm changes since it no longer needs to “fill the hole”. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Now describe an insert algorithm that has to account for possible holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? Summarize your conclusion about your friend’s assertion in a couple of sentences or a short paragraph
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
The insert, update, delete, and search functions discussed in the slides are designed such that there are no holes assumed to be in the unsorted array. Your friend thinks that they can be coded to be equally as good in the worst case situations even if there are holes while still only using just the array and a “currentSize” variable. Is he right?
Address this by doing/answering the following:
- Describe how the search
algorithm changes if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version? - Describe how the update algorithm changes (if any) if there are holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version?
- Describe how the delete algorithm changes since it no longer needs to “fill the hole”. What is its Big O() and is it significantly worse, better, or the same as the no hole version?
- Now describe an insert algorithm that has to account for possible holes in the array. What is its Big O() and is it significantly worse, better, or the same as the no hole version?
- Summarize your conclusion about your friend’s assertion in a couple of sentences or a short paragraph
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
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
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