Question: Which algorithm design technique involves breaking a problem into smaller subproblems and solving each subproblem recursively?
Answer:
The "divide and conquer" algorithm design technique involves breaking a problem into smaller subproblems and solving each subproblem recursively.
MCQ: Which algorithm design technique involves breaking a problem into smaller subproblems and solving each subproblem recursively?
Correct Answer:
A. Divide and conquer
Explanation:
The "divide and conquer" algorithm design technique involves breaking a problem into smaller subproblems and solving each subproblem recursively.
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Related Questions
- 1. What is the time complexity of an algorithm?
- 2. What is the "Big O notation" used for in algorithm analysis?
- 3. Which of the following time complexities represents the most efficient algorithm?
- 4. What is the space complexity of an algorithm?
- 5. What does "optimization" refer to in the context of algorithms?
- 6. Which searching algorithm works by repeatedly dividing the search range in half until the target element is found?
- 7. Which sorting algorithm has an average time complexity of O(n log n) and is often used for large datasets?
- 8. What is the primary advantage of quicksort over some other sorting algorithms like bubble sort and insertion sort?
- 9. Which sorting algorithm repeatedly selects the smallest element from the unsorted part of the array and places it at the beginning of the sorted part?
- 10. What is the time complexity of the bubble sort algorithm in the worst-case scenario?
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