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Aim

Theory

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Procedure

Simulation

Posttest

References

Contributors

Feedback

Divide and Conquer Strategies I: Sorting

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Which of the following scenarios best represents the advantage of Divide and Conquer algorithms like Merge Sort or Quick Sort?

a: When the dataset is very small Explanation

Explanation

b: When only one comparison is needed Explanation

Explanation

c: When recursion is not allowed Explanation

Explanation

d: When problems can be broken into independent smaller parts Explanation

Explanation

What is the primary reason for using sorting algorithms in computer science?

a: To reduce memory usage Explanation

Explanation

b: To organize data for efficient searching and processing Explanation

Explanation

c: To improve data security Explanation

Explanation

d: To increase program length Explanation

Explanation

What is the time complexity of Merge Sort in the worst case?

a: O(n) Explanation

Explanation

b: O(n²) Explanation

Explanation

c: O(n log n) Explanation

Explanation

d: O(log n) Explanation

Explanation

Which of the following best describes the divide and conquer technique?

a: Dividing a problem into smaller sub-problems, solving them, and combining the results Explanation

Explanation

b: Solving a problem iteratively using loops Explanation

Explanation

c: Sorting elements by comparing adjacent values Explanation

Explanation

d: Solving a problem by trying all possible solutions Explanation

Explanation

In Quick Sort, what is the role of the pivot element?

a: It stores the final sorted array Explanation

Explanation

b: It determines the size of the input array Explanation

Explanation

c: It is always the smallest element Explanation

Explanation

d: It divides the array into two subarrays based on comparison Explanation

Explanation

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