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Question 2: Find out which of the two algorithms is faster. Is there an array size for which the running times crosse over? (A size N would be such a cross-over point if for inputs of size less than N, the running times of one algorithm are better, while for inputs of size greater than N, the running times of the other algorithm are better.) To perform your measurements, write a test class that 1. creates random arrays of size n = 10, 100, 1000, etc., and 2. for each array created, sorts it using the two implementations of the algorithm and measures the running times. to measure the running time use the Java method System.nanoTime() in the following way: long startTime = System.nanoTime(); . the code being measured... long estimatedTime System.nanoTime()-startTime;

Question 2: Find out which of the two algorithms is faster. Is there an array size for which the running times crosse over? (A size N would be such a cross-over point if for inputs of size less than N, the running times of one algorithm are better, while for inputs of size greater than N, the running times of the other algorithm are better.) To perform your measurements, write a test class that 1. creates random arrays of size n = 10, 100, 1000, etc., and 2. for each array created, sorts it using the two implementations of the algorithm and measures the running times. to measure the running time use the Java method System.nanoTime() in the following way: long startTime = System.nanoTime(); . the code being measured... long estimatedTime System.nanoTime()-startTime;

Computer Networking: A Top-Down Approach (7th Edition)
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...
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Question 2: Find out which of the two algorithms is faster. Is there an array size for which the running times crosse over? (A size N would be such a cross-over point if for inputs of size less than N, the running times of one algorithm are better, while for inputs of size greater than N, the running times of the other algorithm are better.) To perform your measurements, write a test class that 1. creates random arrays of size n = 10, 100, 1000, etc., and 2. for each array created, sorts it using the two implementations of the algorithm and measures the running times. to measure the running time use the Java method System.nanoTime() in the following way: long startTime = System.nanoTime0; the code being measured . .. long estimatedTime = System.nanoTime()-startTime; Deliverables: For each question, hand in the code that you wrote. For the second question, also write a short report where you describe your measurements and the results you observed.
Transcribed Image Text:Question 2: Find out which of the two algorithms is faster. Is there an array size for which the running times crosse over? (A size N would be such a cross-over point if for inputs of size less than N, the running times of one algorithm are better, while for inputs of size greater than N, the running times of the other algorithm are better.) To perform your measurements, write a test class that 1. creates random arrays of size n = 10, 100, 1000, etc., and 2. for each array created, sorts it using the two implementations of the algorithm and measures the running times. to measure the running time use the Java method System.nanoTime() in the following way: long startTime = System.nanoTime0; the code being measured . .. long estimatedTime = System.nanoTime()-startTime; Deliverables: For each question, hand in the code that you wrote. For the second question, also write a short report where you describe your measurements and the results you observed.
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