
Fundamentals of Algorithms
Flashcard
•
Computers
•
University
•
Practice Problem
•
Hard
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10 questions
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1.
FLASHCARD QUESTION
Front
What is an algorithm?
Back
An algorithm is a step-by-step procedure for solving a problem.
2.
FLASHCARD QUESTION
Front
Explain the difference between time complexity and space complexity.
Back
Time complexity focuses on execution time, whereas space complexity focuses on memory usage.
3.
FLASHCARD QUESTION
Front
What is Big O notation?
Back
Big O notation is a way to describe the upper limit of an algorithm's time or space complexity.
4.
FLASHCARD QUESTION
Front
Describe the concept of divide and conquer in algorithms.
Back
Divide and conquer is an algorithm design paradigm that recursively breaks a problem into smaller subproblems, solves them independently, and combines their results.
5.
FLASHCARD QUESTION
Front
What is a greedy algorithm? Give an example.
Back
An example of a greedy algorithm is the Coin Change Problem, where the goal is to make change for a given amount using the fewest coins possible. The algorithm selects the largest denomination coin first until the amount is reached.
6.
FLASHCARD QUESTION
Front
What is the purpose of a sorting algorithm?
Back
The purpose of a sorting algorithm is to arrange data in a specified order.
7.
FLASHCARD QUESTION
Front
Explain the difference between linear search and binary search.
Back
Linear search is O(n) in time complexity, while binary search is O(log n) and requires a sorted array.
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