Practice Decomposition And Recursive Solutions (3.1.5) - Design and Analysis of Algorithms

Practice: Decomposition and Recursive Solutions

Lesson 3.1.5Design and Analysis of Algorithms

Practise this section

9 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is the definition of decomposition in algorithms?
Show hintHide hint
Think about how we simplify problems to make them easier to solve.
Question 2.
Explain what a recursive solution is.
Show hintHide hint
Consider how a function can call itself with simpler inputs.
3Question 3.
What is decomposition in the context of algorithms?
Show hintHide hint
Think about how to make a difficult task simpler.
4Question 4.
True or False: A recursive solution is initialized by calling itself.
Show hintHide hint
Consider how functions can be defined in terms of themselves.
Question 5.
Given a situation where the photocopy shop has 4 jobs with different page counts and deadlines, design a schedule that minimizes total time taken while minimizing cost based on machine usage.
Show hintHide hint
Look for trade-offs between deadlines and costs while creating job sequences.
Question 6.
The photocopy shop expands and can now process jobs on 3 machines with varying speeds. How would you adapt your scheduling strategy to this new scenario with the objective of maximizing efficiency?
Show hintHide hint
Use historical data on machine performance to inform your choices on job assignments.

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