Unformatted text preview: i ed each time the
computed error measure fails to satisfy the prescribed tolerance .
procedure onestep (f: vector function : real var t, h: real var y: vector) begin
repeat Integrate (3.5.1b) from t to t + h using (3.5.1a)
Compute errormeasure at t + h
if errormeasure > then Calculate a new step size h
Suggest a step size h for the next step end Figure 3.5.1: Pseudo-code segment of a one-step numerical method with error control
and automatic step size adjustment.
In addition to supplying a one-step method, the procedure presented in Figure 3.5.1
will require routines to compute an error measure and to vary the step size. We'll
concentrate on the error measure rst.
Example 3.5.1. Let us calculate an estimate of the local discretization error of the
midpoint rule predictor-corrector. We do this by subtracting the Taylor Taylor's series
expansion of the exact solution (3.1.2, 3.1.3) from the expansion of the Runge-Kutta
formula (3.1.7) with a = c = 1=2, b1 = 0, and b2 = 1. The result is
dn = h 3(ftt + 2ffty + f 2fyy...
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This document was uploaded on 03/16/2014 for the course CSCI 6820 at Rensselaer Polytechnic Institute.
- Spring '14