Multistep methods are numerical techniques used to solve ordinary differential equations by employing information from multiple previous points to calculate the next value. These methods aim to increase accuracy and efficiency by using several past approximations, rather than relying solely on the most recent point. In the context of numerical methods for differential equations, these approaches can significantly reduce the number of computations needed to achieve a desired level of precision.
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