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THE Q-HOMOTOPY ANALYSIS METHOD (Q-HAM) - IJAMM

THE Q-HOMOTOPY ANALYSIS METHOD (Q-HAM) - IJAMM

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70<br />

solutions<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

Int. J. of Appl. Math and Mech. 8 (15): 51-75, 2012.<br />

M. A. El-Tawil and S. N. Huseen<br />

0.5 1.0 1.5 2.0 2.5 3.0<br />

Figure(23): Comparison between of <strong>HAM</strong>(q-<strong>HAM</strong> and q-<strong>HAM</strong>( and<br />

for logistic growth model (1) with( respectively.<br />

solutions<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

0.5 1.0 1.5 2.0 2.5 3.0<br />

Figure(24): Comparison between of <strong>HAM</strong>(q-<strong>HAM</strong> and q-<strong>HAM</strong>( and<br />

for logistic growth model (1) with( respectively.<br />

The Absolute errors of the 10 th order solutions q-<strong>HAM</strong> approximate using different values of<br />

compared with 10 th order solutions <strong>HAM</strong> approximate are calculated by the formula<br />

| | .<br />

U 10 n 10<br />

U 10 n 1<br />

Figures show that the series solution obtained by <strong>HAM</strong> is divergent at<br />

but, the series solutions obtained by q-<strong>HAM</strong> becomes more accurate<br />

as increases.<br />

U<br />

U<br />

U 10 n 100<br />

U 10 n 1

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