Research Article
Design of a Novel Second-Order Prediction Differential Model Solved by Using Adams and Explicit Runge–Kutta Numerical Methods
Table 1
Numerical values of the Adams and explicit Runge–Kutta scheme for Examples
1 and
2.
| x | Example 1 | Example 2 | Exact | Adams | Exact | Adams |
| 0.00 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 0.04 | 1.040000 | 1.039989 | 1.881600 | 1.881600 | 0.08 | 1.079900 | 1.079915 | 1.766400 | 1.766400 | 0.12 | 1.119700 | 1.119712 | 1.654400 | 1.654400 | 0.16 | 1.159300 | 1.159318 | 1.545600 | 1.545600 | 0.20 | 1.198700 | 1.198669 | 1.440000 | 1.440000 | 0.24 | 1.237700 | 1.237703 | 1.337600 | 1.337600 | 0.28 | 1.276400 | 1.276356 | 1.238400 | 1.238400 | 0.32 | 1.314600 | 1.314567 | 1.142400 | 1.142400 | 0.36 | 1.352300 | 1.352274 | 1.049600 | 1.049600 | 0.40 | 1.389400 | 1.389418 | 0.960000 | 0.960000 | 0.44 | 1.425900 | 1.425939 | 0.873600 | 0.873600 | 0.48 | 1.461800 | 1.461779 | 0.790400 | 0.790400 | 0.52 | 1.496900 | 1.496880 | 0.710400 | 0.710400 | 0.56 | 1.531200 | 1.531186 | 0.633600 | 0.633600 | 0.60 | 1.564600 | 1.564642 | 0.560000 | 0.560000 | 0.64 | 1.597200 | 1.597195 | 0.489600 | 0.489600 | 0.68 | 1.628800 | 1.628793 | 0.422400 | 0.422400 | 0.72 | 1.659400 | 1.659385 | 0.358400 | 0.358400 | 0.76 | 1.688900 | 1.688921 | 0.297600 | 0.297600 | 0.80 | 1.717400 | 1.717356 | 0.240000 | 0.240000 | 0.84 | 1.744600 | 1.744643 | 0.185600 | 0.185600 | 0.88 | 1.770700 | 1.770739 | 0.134400 | 0.134400 | 0.92 | 1.795600 | 1.795602 | 0.086400 | 0.086400 | 0.96 | 1.819200 | 1.819192 | 0.041600 | 0.041600 | 1.00 | 1.841500 | 1.841471 | 0.000000 | 0.000000 |
|
|