Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 4.4, Problem 3E
Program Plan Intro
To determine the good asymptotic upper bound of the recurrence relation
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C. Homework Assignment
Task: Write a one-page CV using the provided template.
Steps:
1. Use the CV guide to structure your CV.
2. Fill in each section with real information about yourself.
3. Format your CV neatly and use professional language.
4. Submit to the instructor before the next class
Simulate on a vertical time axis (with events labeled with the senders names A-D) the contention period of FOUR equally distanced Ethernet stations that all attempt to transmit at T=0 a minimally sized frame, in the style of the binary Exponential Backoff Algorithm. Assume that time is measured in slot times, and that exactly one slot time is needed to detect a collision (so that if two stations transmit at T=1 and collide, and one of them chooses a backoff time k=0, then that station will transmit again at T=2).
Use as coin flip (source of randomness) an ID written in binary.
use the bits in order from the least significant to the most significant. If for a given coin throw you need k bits, use the least significant ID bit extracted in the corresponding group of bits, as the least significant bit of the coin thrown.
Start be writing the ID, which is 904012207
As example of the expected answer format,
with the random sequence R: 100101010101001011001010 01 01011 10010 1010 1010 010…
Big State University
The Big State University course catalog reads as follows: "To enroll in MIS 260, which is an advanced
course, a student must complete two prerequisites: MIS 120 and MIS 222. A student who completes
either one of these prerequisites and obtains the instructor's permission, however, will be allowed to
take MIS 260."
Tasks
1. Create a decision table that describes the Big State University course catalog regarding eligibility for
MIS 260. Show all possible rules.
2. Simplify the table you just created. Describe the results.
3. Draw a simplified decision tree to represent the Big State University catalog. Describe the results.
4. Why might you use a decision tree rather than a decision table?
Chapter 4 Solutions
Introduction to Algorithms
Ch. 4.1 - Prob. 1ECh. 4.1 - Prob. 2ECh. 4.1 - Prob. 3ECh. 4.1 - Prob. 4ECh. 4.1 - Prob. 5ECh. 4.2 - Prob. 1ECh. 4.2 - Prob. 2ECh. 4.2 - Prob. 3ECh. 4.2 - Prob. 4ECh. 4.2 - Prob. 5E
Ch. 4.2 - Prob. 6ECh. 4.2 - Prob. 7ECh. 4.3 - Prob. 1ECh. 4.3 - Prob. 2ECh. 4.3 - Prob. 3ECh. 4.3 - Prob. 4ECh. 4.3 - Prob. 5ECh. 4.3 - Prob. 6ECh. 4.3 - Prob. 7ECh. 4.3 - Prob. 8ECh. 4.3 - Prob. 9ECh. 4.4 - Prob. 1ECh. 4.4 - Prob. 2ECh. 4.4 - Prob. 3ECh. 4.4 - Prob. 4ECh. 4.4 - Prob. 5ECh. 4.4 - Prob. 6ECh. 4.4 - Prob. 7ECh. 4.4 - Prob. 8ECh. 4.4 - Prob. 9ECh. 4.5 - Prob. 1ECh. 4.5 - Prob. 2ECh. 4.5 - Prob. 3ECh. 4.5 - Prob. 4ECh. 4.5 - Prob. 5ECh. 4.6 - Prob. 1ECh. 4.6 - Prob. 2ECh. 4.6 - Prob. 3ECh. 4 - Prob. 1PCh. 4 - Prob. 2PCh. 4 - Prob. 3PCh. 4 - Prob. 4PCh. 4 - Prob. 5PCh. 4 - Prob. 6P
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