7. Empirical Analysis of Algorithm
Empirical Analysis of Algorithm Quiz
Test your knowledge of algorithm efficiency and sorting techniques with our engaging quiz! Dive into questions that challenge your understanding of algorithm complexities and space factors.
Perfect for students and enthusiasts alike, this quiz covers:
- Swapping calculations in sorting algorithms
- Big O notation and performance classifications
- Memory management in algorithm execution
- Key measures of algorithm efficiency
The number of swappings needed to sort the numbers 8, 22, 7, 9, 31, 5, 13 in ascending order, using bubble sort is
11
12
13
10
Which of the following is not O(n^2)?
(15^10) * n + 12099
N^1.98
N^3 / (sqrt(n))
(2^20) * n
The space factor when determining the efficiency of algorithm is measured by
Counting the maximum memory needed by the algorithm
Counting the minimum memory needed by the algorithm
Counting the average memory needed by the algorithm
Counting the maximum disk space needed by the algorithm
Two main measures for the efficiency of an algorithm are
Processor and memory
Complexity and capacity
Time and space
Data and space
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