Practice Numerical Precision and Sensitivity - 30.17 | 30. Eigenvectors | Mathematics (Civil Engineering -1)
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Numerical Precision and Sensitivity

30.17 - Numerical Precision and Sensitivity

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is double precision arithmetic?

💡 Hint: Think about how numbers are stored in a computer.

Question 2 Easy

Define numerical precision.

💡 Hint: Refer to factors influencing computational accuracy.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What problem is caused by floating-point roundoff errors?

A. Inaccurate calculations
B. Improved accuracy
C. Reduced computation time

💡 Hint: Think about the challenges in computations.

Question 2

True or False: Double precision means increased accuracy due to more bits being used.

True
False

💡 Hint: Recall the difference between double and single precision.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a nearly singular matrix, describe how you would compute its eigenvectors while ensuring accuracy.

💡 Hint: Consider what tools or software you might employ.

Challenge 2 Hard

In a simulation, you identify significant sensitivity in results due to rounding errors. Suggest a set of steps to improve the situation.

💡 Hint: Address the problem iteratively.

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