What is the function or purpose of Dynamic programming?
Difficulty: Hard
About this MCQ
This Hard Algorithms question asks: What is the function or purpose of Dynamic programming? The correct choice is C. An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results.. 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. A divide-and-conquer sorting algorithm that splits the array, sorts each half, and merges them.
Why not A: “A divide-and-conquer sorting algorithm that splits the array, sorts each half, and merges them.” does not fit this question. The answer is An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results..
- B. A search algorithm that repeatedly divides a sorted array in half to locate a target value.
Why not B: “A search algorithm that repeatedly divides a sorted array in half to locate a target value.” does not fit this question. The answer is An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results..
- C. An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results. ✓
- D. An algorithmic approach that makes the locally optimal choice at each step, hoping to find a global optimum.
Why not D: “An algorithmic approach that makes the locally optimal choice at each step, hoping to find a global optimum.” does not fit this question. The answer is An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results..
Correct answer
C. An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results.
Explanation
An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results is the value that answers What is the function or purpose of Dynamic programming option C Option A A divide-and-conquer sorting algorithm that splits the array sorts each half and merges them does not fit this question Option B A search algorithm that repeatedly divides a sorted array in half to locate a target value does not fit this question Option D An algorithmic approach that makes the locally optimal choice at each step hoping to find a global optimum does not fit this question For this Algorithms question the accepted answer is An algorithmic.
Source: Algorithms Official Reference Guide
Tags: computer science, algorithms, problem solving, complexity analysis
Submitted by: MCQsHub Editorial
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