Practice Modelling Problems (1.2.4) - Design and Analysis of Algorithms

Practice: Modelling Problems

Lesson 1.2.4Design and Analysis of Algorithms

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10 questions

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6 sample questions

Question 1.
What is modeling in algorithm design?
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Think about what it means to represent a problem mathematically.
Question 2.
Name one technique we use for decomposing problems.
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Consider how complex problems are tackled in smaller chunks.
3Question 3.
What is the purpose of modeling in algorithm design?
- To define the problem mathematically.
- To make algorithms inefficient.
- To prevent algorithm implementation.
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Reflect on how models help structure problems.
4Question 4.
True or False: Greedy algorithms guarantee the optimal solution for all problems.
- True
- False
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Recall examples where greed fails to provide the best result.
Question 5.
You have a problem that requires you to analyze the paths in a transport network. How would you model this problem using algorithms?
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Think about how graphs can represent relationships and connections.
Question 6.
How would you approach solving a scheduling problem that involves overlapping tasks?
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Consider how dynamic programming can help save computation by reusing previous results.

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