Research Article

Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure

Table 8

Problem 1: analysis based on the variation of population size.

VariableI (t)U (t)V (t)
Input(t)\population203040203040203040

01.54E − 063.77E − 121.26E − 051.54E − 061.35E − 091.26E − 052.47E − 063.07E − 076.67E − 06
0.12.99E − 051.17E − 102.82E − 052.99E − 051.94E − 112.82E − 052.96E − 056.13E − 081.17E − 05
0.27.48E − 051.38E − 100.0001327.48E − 052.80E − 101.32E − 047.36E − 051.83E − 071.82E − 05
0.30.000192.42E − 090.0003130.000194.10E − 100.0003137.28E − 058.43E − 083.96E − 05
0.40.000262.28E − 120.0004162.60E − 048.88E − 110.0004163.38E − 051.53E − 086.47E − 05
0.50.000272.18E − 110.0004082.70E − 048.07E − 110.0004082.59E − 055.49E − 088.96E − 05
0.60.0002274.00E − 100.0003082.27E − 046.59E − 110.0003088.43E − 054.21E − 081.10E − 04
0.70.0001572.69E − 120.000170.0001575.84E − 110.000171.11E − 044.76E − 081.10E − 04
0.87.82E − 053.77E − 124.19E − 057.82E − 054.88E − 114.19E − 059.70E − 051.61E − 078.80E − 05
0.92.71E − 069.49E − 104.32E − E − 052.71E − 068.83E − 114.32E − 055.28E − 056.42E − 085.73E − 05
16.38E − 055.16E − 117.24E − 056.38E − 051.52E − 137.24E − 058.01E − 078.51E − 093.58E − 05