predictor-corrector methods
predictor-corrector methods The standard approach in the implementation of linear multistep methods for the solution of ordinary differential equations. Two such formulae are used on each step, one of which is implicit (see linear multistep methods). An example of such a formula pair are Euler's method (see discretization) and the trapezoidal rule (see ordinary differential equations). A predictor-corrector method based on these formulae has the form ypn+1 = yn + hf(xn,yn) (prediction) yn+1 = yn + ½h(f(xn,yn) + f(xn,ypn+1)) (correction)
This permits the more accurate implicit formula to be used effectively, without solving an equation for yn+1, and provides an estimate for the local error, namely ypn+1 – yn+1. Such estimates are used to control accuracy and stability.
This permits the more accurate implicit formula to be used effectively, without solving an equation for yn+1, and provides an estimate for the local error, namely ypn+1 – yn+1. Such estimates are used to control accuracy and stability.
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predictor-corrector methods