Predictor-corrector methods are numerical techniques used to solve ordinary differential equations (ODEs) by making initial estimates (predictors) and then refining those estimates (correctors). These methods combine the concepts of multistep methods, allowing for both stability and improved accuracy in approximating solutions over a range of values. They are particularly valuable for integrating systems where precision is essential, as they balance the trade-offs between computational efficiency and result fidelity.
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