Multistep methods are numerical techniques used to solve ordinary differential equations by utilizing multiple past points to predict future values. These methods improve accuracy by combining information from several previous steps, unlike single-step methods, which only rely on the immediately preceding point. Multistep methods can significantly enhance the efficiency of solving differential equations, especially when high precision is needed in simulations.
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