Podcast
Questions and Answers
What is the process of finding the computational complexity of algorithms?
What is the process of finding the computational complexity of algorithms?
- Empirical approach
- Algorithmic analysis (correct)
- Run-time analysis
- Platform-independent analysis
Which algorithm is more efficient for table lookups on sorted lists or arrays?
Which algorithm is more efficient for table lookups on sorted lists or arrays?
- Sequential search (cost O(n))
- Binary search algorithm (with cost O(log n)) (correct)
- Quick search algorithm
- Linear search algorithm
What does run-time efficiency estimate and anticipate as the input size of an algorithm increases?
What does run-time efficiency estimate and anticipate as the input size of an algorithm increases?
- Exponential running time
- Constant running time
- Increase in running time (correct)
- Decrease in running time
Why are benchmark testing and empirical approach significant in analyzing algorithm performance?
Why are benchmark testing and empirical approach significant in analyzing algorithm performance?
What type of growth rate does a linear search program exhibit as its input size increases?
What type of growth rate does a linear search program exhibit as its input size increases?
What is the primary purpose of a programming language in relation to algorithms?
What is the primary purpose of a programming language in relation to algorithms?
Why is it important to specify the range of inputs for which an algorithm works?
Why is it important to specify the range of inputs for which an algorithm works?
What are the two most common measures of resource usage for an algorithm?
What are the two most common measures of resource usage for an algorithm?
Why is it important to know how much of a particular resource is theoretically required for a given algorithm?
Why is it important to know how much of a particular resource is theoretically required for a given algorithm?
What important aspect distinguishes different algorithms for solving the same problem?
What important aspect distinguishes different algorithms for solving the same problem?
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