Predictor-corrector methods are numerical techniques used to solve ordinary differential equations by first estimating a solution (the predictor) and then refining that estimate (the corrector) for increased accuracy. These methods are particularly useful for improving the precision of numerical solutions and can be applied in various contexts, such as integrating systems over time or in bifurcation analysis where stability and changes in solutions are crucial.
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