The classical Runge-Kutta methods are a group of iterative techniques used for approximating the solutions of ordinary differential equations (ODEs). These methods provide a systematic way to improve accuracy in numerical solutions by taking multiple steps within each time interval, calculating intermediate values to refine the final approximation. This approach balances computational efficiency with error reduction, making it a popular choice in numerical analysis.
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