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

Table 2

Problem 1: evaluation through statistical operators.

t

I (t)

U (t)

V (t)

MIN

MEAN

MAX

STD

MIN

MEAN

MAX

STD

MIN

MEAN

MAX

STD

0

3.77E − 12

7.32E − 06

0.000401

4.02E − 05

1.35E − 09

5.32E − 06

4.01E − 05

8.37E − 06

3.07E − 07

1.86E − 05

0.000495

5.08E − 05

0.1

1.17E − 10

1.64E − 06

0.000116

1.16E − 05

1.94E − 11

1.03E − 06

3.39E − 05

3.43E − 06

6.13E − 08

3.49E − 06

0.000142

1.44E − 05

0.2

1.38E − 10

1.35E − 06

1.43E − 05

1.84E − 06

2.80E − 10

2.17E − 06

1.87E − 05

3.00E − 06

1.83E − 07

5.43E − 06

2.35E − 05

5.01E − 06

0.3

2.42E − 09

1.15E − 06

7.83E − 06

1.63E − 06

4.10E − 10

1.59E − 06

1.38E − 05

2.65E − 06

8.43E − 08

4.67E − 06

3.64E − 05

5.59E − 06

0.4

2.28E − 12

9.31E − 07

1.67E − 05

2.30E − 06

8.88E − 11

1.04E − 06

1.63E − 05

2.84E − 06

1.53E − 08

3.38E − 06

5.51E − 05

6.88E − 06

0.5

2.18E − 11

9.05E − 07

3.58E − 05

3.91E − 06

8.07E − 11

9.04E − 07

1.43E − 05

2.41E − 06

5.49E − 08

2.70E − 06

6.28E − 05

6.85E − 06

0.6

4.00E − 10

1.01E − 06

4.96E − 05

5.17E − 06

6.59E − 11

8.73E − 07

7.15E − 06

1.40E − 06

4.21E − 08

2.52E − 06

6.09E − 05

6.34E − 06

0.7

2.69E − 12

1.11E − 06

5.58E − 05

5.70E − E − 06

5.84E − 11

7.82E − 07

6.25E − 06

1.12E − 06

4.76E − 08

2.46E − 06

5.86E − 05

6.12E − 06

0.8

3.77E − 12

1.11E − 06

5.53E − 05

5.59E − 06

4.88E − 11

6.40E − 07

7.22E − 06

1.03E − 06

1.61E − 07

2.33E − 06

5.59E − 05

5.85E − 06

0.9

9.49E − 10

1.04E − 06

4.98E − 05

5.01E − 06

8.83E − 11

5.14E − 07

7.56E − 06

9.48E − 07

6.42E − 08

2.15E − 06

5.13E − 05

5.45E − 06

1

5.16E − 11

9.20E − 07

4.13E − 05

4.17E − 06

1.52E − 13

4.62E − 07

6.17E − 06

9.06E − 07

8.51E − 09

1.99E − 06

4.48E − 05

4.86E − 06