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

Test your understanding with targeted questions related to the topic.

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.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

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

Question 2

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.

Challenge and get performance evaluation