Which term refers to an algorithm design paradigm that breaks a problem into smaller subproblems, solves them, and combines the results?
Difficulty: Medium
About this MCQ
This Medium Algorithms question asks: Which term refers to an algorithm design paradigm that breaks a problem into smaller subproblems, solves them, and combines the results? The correct choice is B. Divide and conquer. Read the options below, commit to one, then use the explanation to see why that choice holds and why the others do not.
Algorithms items like this one are written for Pakistan exams such as CSS, FPSC, PPSC, and NTS. The difficulty label is a hint about how much of the topic the stem assumes, not a score. Tags and exam names, when they are present, tell you where else the same idea is tested. Previous and next links stay in Algorithms so you can continue the subject. Related questions point at nearby stems if you want another angle on the same idea.
Treat the explanation as part of the question, not a footnote. If you missed it, reread the stem against the correct option before you open the next Algorithms item. A timed quiz is the same pool with a clock and a score. A past paper is a full sitting rather than this single question.
- A. Dynamic programming
Why not A: “Dynamic programming” does not fit this question. The answer is Divide and conquer.
- B. Divide and conquer ✓
- C. Binary search
Why not C: “Binary search” does not fit this question. The answer is Divide and conquer.
- D. Merge sort
Why not D: “Merge sort” does not fit this question. The answer is Divide and conquer.
Correct answer
B. Divide and conquer
Explanation
Divide and conquer is the term that matches “Which term refers to an algorithm design paradigm that breaks a problem into smaller subproblems, solves them, and combines the results” (option B). Option A (Dynamic programming) does not fit this question. Option C (Binary search) does not fit this question. Option D (Merge sort) does not fit this question. For this Algorithms question, the accepted answer is Divide and conquer.
Source: Algorithms Official Reference Guide
Tags: computer science, algorithms, problem solving, complexity analysis
Submitted by: MCQsHub Editorial
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