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Differential equations model dynamic systems by linking functions with derivatives, predicting changes across various disciplines. These models, refined through empirical data, balance complexity with real-world applicability. An example is managing a water tank’s volume by analyzing inflow and outflow rates, emphasizing the importance of initial conditions and system limits in forecasting system behavior.
The Newton-Raphson method iteratively finds function roots using derivatives, starting with an initial guess and refining that through successive approximations.
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