Practice Summary - 18.6 | 18. Stability and Convergence of Methods | Mathematics - iii (Differential Calculus) - Vol 4
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What ensures that the local error of a numerical method approaches zero as the step size decreases?

πŸ’‘ Hint: Think about the error shrinking property.

Question 2

Easy

What type of stability applies to methods like Backward Euler?

πŸ’‘ Hint: Recall the highest level of stability definition.

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Interactive Quizzes

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

Question 1

What does consistency in a numerical method refer to?

  • It ensures local error approaches zero.
  • It guarantees results are accurate.
  • It relates to stability only.

πŸ’‘ Hint: Think about the shrinking error concept.

Question 2

True or False: A-stability guarantees that numerical methods are stable for Re(Ξ») < 0.

  • True
  • False

πŸ’‘ Hint: Recall the definition of A-stability.

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Challenge Problems

Push your limits with challenges.

Question 1

Consider a numerical method that is consistent but unstable. Describe what issues may arise when solving a stiff ODE with this method, and propose a solution to avoid those issues.

πŸ’‘ Hint: Think about the nature of stiffness in ODEs and how certain methods cope.

Question 2

Analyze the difference in stability regions for Euler's Method and Backward Euler. Use a graphical representation to illustrate your point.

πŸ’‘ Hint: Graphically represent complex plane regions that define where R(z) holds.

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