Practice High Computational Cost (7.5.2) - Fault Modeling and Simulation
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High Computational Cost

Practice - High Computational Cost

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does computational cost refer to?

💡 Hint: Think about what you need when running a complex simulation.

Question 2 Easy

What is one way to reduce computational costs?

💡 Hint: Imagine if you had multiple computers to help you.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a likely consequence of high computational costs in simulations?

Delayed development timelines
Increased accuracy
Reduced safety

💡 Hint: Consider the time it takes for necessary tests.

Question 2

True or False: Optimization always leads to improved accuracy in simulations.

True
False

💡 Hint: Think about the meaning of 'trade-off' when optimizing.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

In an aerospace simulation involving hundreds of faults, you find that the process is taking much longer than expected. What steps would you take to optimize this simulation?

💡 Hint: Think about which faults could produce the highest impact on safety.

Challenge 2 Hard

You are tasked with developing a new simulation framework for an automotive company. What considerations should you keep in mind regarding computational costs?

💡 Hint: Think of the implications of missing a critical fault in a design.

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Reference links

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