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This lecture covers the analysis of numerical methods for solving ordinary differential equations with a focus on the stability of numerical schemes. The slides provide insights into the stability of Euler's method, both forward and backward, and the impact of step size on stability. The lecture also discusses the absolute stability property and its importance in numerical methods. Various stability conditions and examples are presented to illustrate the concepts discussed.