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

Table 4

Problem 3: evaluation through statistical operators.

t

I (t)

U (t)

V (t)

MIN

MEAN

MAX

STD

MIN

MEAN

MAX

STD

MIN

MEAN

MAX

STD

0

1.06E − 09

1.55E − 05

0.000178

2.92E − 05

8.12E − 12

3.65E − 05

0.000239

5.39E − 05

8.06E − 10

5.09E − 05

2.94E − 04

6.79E − 05

0.1

7.40E − 10

5.42E − 06

6.68E − 05

1.17E − 05

1.92E − 08

2.09E − 05

0.000168

3.60E − 05

5.13E − 09

2.97E − 05

0.000196

4.41E − 05

0.2

7.90E − 11

4.49E − 06

4.35E − 05

8.71E − 06

4.04E − 10

1.29E − 05

0.00011

2.43E − 05

4.29E − 09

1.76E − 05

0.000124

2.76E − 05

0.3

8.48E − 11

5.17E − 06

5.32E − 05

9.66E − 06

5.15E − 09

8.47E − 06

6.62E − 05

1.52E − 05

5.58E − 12

1.06E − 05

7.32E − 05

1.63E − 05

0.4

3.82E − 09

5.42E − 06

3.52E − 05

8.07E − 06

1.47E − 09

6.11E − 06

4.15E − 05

1.02E − 05

6.30E − 10

6.65E − 06

4.08E − 05

9.23E − 06

0.5

1.10E − 09

5.27E − 06

2.65E − 05

7.83E − 06

9.94E − 11

4.90E − 06

4.58E − 05

8.10E − 06

4.60E − 11

4.56E − 06

2.27E − 05

6.08E − 06

0.6

1.08E − 11

4.92E − 06

3.06E − 05

8.40E − 06

3.60E − 10

4.40E − 06

3.34E − 05

6.78E − 06

4.16E − 10

3.53E − 06

3.01E − 05

5.70E − 06

0.7

4.46E − 12

4.33E − 06

2.71E − 05

7.54E − 06

7.72E − 15

4.43E − 06

2.83E − 05

6.45E − 06

2.70E − 10

3.06E − 06

3.43E − 05

5.94E − 06

0.8

2.73E − 10

3.71E − 06

2.76E − 05

6.37E − 06

2.71E − 09

4.82E − 06

2.74E − 05

6.72E − 06

2.90E − 10

2.86E − 06

3.37E − 05

5.79E − 06

0.9

5.12E − 10

3.46E − 06

2.97E − 05

6.38E − 06

3.08E − 09

5.37E − 06

2.60E − 05

6.99E − 06

4.65E − 12

2.75E − 06

2.93E − 05

5.16E − 06

1

1.18E − 10

3.54E − 06

3.46E − 05

6.31E − 06

1.08E − 08

5.91E − 06

2.68E − 05

7.26E − 06

1.49E − 09

2.65E − 06

2.27E − 05

4.30E − 06