Stability and convergence are critical in numerical analysis and control systems, ensuring that algorithms and systems behave predictably and reach desired outcomes over time. Stability refers to the boundedness of a system's response, while convergence indicates the system's ability to approach a specific target or solution as time progresses or iterations increase.
