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2 cards from this section. Quick, good the night before a test.
Define consistency in numerical methods.
Think about how numerical values should relate to the actual mathematical problem.
What is truncation error?
Consider how approximations differ from exact solutions.
What does consistency ensure in a numerical method?
Consider how numerical methods should behave as the grid is refined.
True or False: Convergence means the numerical solution approaches the exact solution for each independent variable.
Focus on the definition of convergence in your studies.
Using von Neumann stability analysis, derive the conditions for stability in the explicit scheme for heat equation.
Focus on how the discretization affects the stability of the numerical solution.
Construct a numerical example illustrating the consistency error associated with a first-order finite difference approximation.
Identify the order of approximation and how it affects accuracy.
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