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3 cards from this section. Quick, good the night before a test.
Define stability in the context of numerical methods.
Think about how errors affect the results over time.
What does convergence mean?
Consider what happens when you make the step size smaller.
What does stability in numerical methods ensure?
Remember the definition of stability.
True or False: Convergence means the numerical solution moves further away from the exact solution as the step size decreases.
Think about the goal of solving ODEs.
Consider a numerical method where a large truncation error occurs at each step. Explain how this impacts stability and convergence.
Think about how errors compound in numerical methods.
You are tasked with solving a stiff ODE. What steps can you take to ensure your method is both stable and convergent?
Consider the properties of methods suitable for stiff problems.
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