What are the two major problems with the benchmark technique of measuring algorithm efficiency?
A) Different hardware platforms have different processing speeds, meaning the running times will differ.
B) A benchmark test does not account for differences in the size of data sets.
C) The test cannot be performed without modifying the code for which the benchmark will be performed on.
D) It can be impractical to determine the running time for algorithms with very large data sets.
Correct Answer:
Verified
Q37: The first two numbers in the Fibonacci
Q38: Python's in operator is implemented as a
Q39: In terms of order of complexity, what
Q40: What statement accurately describes the strategy utilized
Q41: When using the counting instructions method of
Q43: How does the constant of proportionality for
Q44: The insertion, bubble, and selection sort algorithms
Q45: What would the constant k value in
Q46: When choosing an algorithm, faster run times
Q47: The process of determining the running time
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents