Practice Computational Challenges (23.8) - Dynamic Programming - Design & Analysis of Algorithms - Vol 2

Practice: Computational Challenges

Lesson 23.8Dynamic Programming

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11 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define factorial using inductive definitions.
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What is the base case for factorial?
Question 2.
What does the term 'memoization' mean?
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Think of it as a cheat sheet.
3Question 3.
What is dynamic programming?
- A method for solving equations
- A programming language
- A technique for solving complex problems efficiently
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Think about the best way to tackle difficult problems.
4Question 4.
True or False: Memoization helps in reducing the computation time by storing previous function results.
- True
- False
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Does caching sounds like a time-saving strategy to you?
Question 5.
Given a set of jobs each with a start time, finish time, and weight, outline an algorithm to maximize total weight for the interval scheduling problem.
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How would you store previously calculated weights to optimize your solution?
Question 6.
Create a recursive solution for calculating the nth Fibonacci number using inductive definitions and then improve it using dynamic programming.
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Consider how each Fibonacci number builds off the previous two.

7 more questions in this section. Enroll free to practise them all.