6 min read•august 21, 2024
Predictor-corrector methods blend explicit and implicit techniques to solve ordinary . They offer improved accuracy and stability over single-step methods, making them valuable tools for numerical integration in various scientific and engineering applications.
These methods use a two-step process: predicting the next solution point and then correcting it. Popular variants include -Moulton and , each with unique strengths in balancing accuracy, stability, and computational efficiency.