Predictor-corrector methods are numerical techniques used to solve ordinary differential equations by first making an initial estimate (the predictor) and then refining that estimate (the corrector) to achieve a more accurate solution. This approach allows for a balance between computational efficiency and accuracy, making it useful in simulations that involve complex dynamical systems, such as those found in spacecraft attitude determination and control.
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