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This lecture covers the concept of error estimation in numerical methods, focusing on stability and truncation errors. It discusses conditions for stability, explicit and implicit schemes, and the importance of inverse monotonicity. The instructor explains the implications of the CFL condition and the balance between errors in time and space.