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Theory and Modern Applications

Table 4 Absolute residuals for \(h=0.1\)

From: Numerical treatment of nonlinear model of virus propagation in computer networks: an innovative evolutionary Padé approximation scheme

Method

t

VE

VFE

\(\vert \varepsilon_{1} \vert \)

\(\vert \varepsilon _{2} \vert \)

\(\vert \varepsilon_{3} \vert \)

\(\vert \varepsilon_{1} \vert \)

\(\vert \varepsilon_{2} \vert \)

\(\vert \varepsilon_{3} \vert \)

RK−4

0.10

5.9E83

5.9E83

5.9E83

2.3E−01

1.3E00

1.6E02

4.00

NaN

NaN

NaN

8.0E−02

4.8E−02

5.5E00

8.00

NaN

NaN

NaN

1.7E−02

3.6E−03

5.0E−01

12.0

NaN

NaN

NaN

2.8E−03

3.4E−04

5.3E−02

16.0

NaN

NaN

NaN

4.1E−04

3.1E−05

5.2E−03

19.9

NaN

NaN

NaN

5.9E−05

3.04E−06

5.3E−04

Euler

0.10

0.0E00

0.0E00

3.8E03

2.1E−14

3.6E−15

1.6E02

4.00

NaN

NaN

NaN

2.8E−14

4.4E−16

4.5E00

8.00

NaN

NaN

NaN

2.8E−14

6.9E−17

4.1E−01

12.0

NaN

NaN

NaN

3.6E−14

0.0E00

4.1E−02

16.0

NaN

NaN

NaN

2.1E−14

2.2E−19

3.8E−03

19.9

NaN

NaN

NaN

7.1E−14

2.7E−20

3.6E−04

NSFD

0.10

6.0E02

6.0E02

6.4E02

9.8E−01

3.0E00

1.7E02

4.00

1.8E−01

2.6E−01

4.7E02

2.2E−01

1.7E−01

7.9E00

8.00

1.1E−02

1.2E−02

4.7E02

4.3E−02

1.5E−02

8.5E−02

12.0

8.5E−04

8.6E−03

4.8E02

7.1E−03

1.6E−03

9.8E−02

16.0

7.4E−05

7.3E−05

4.8E02

1.1E−03

1.6E−04

1.1E−02

19.9

7.1E−06

6.9E−06

4.8E02

1.7E−04

1.7E−05

1.7E−05

EPA

0.10

1.5E − 11

1.3E − 10

8.5E − 12

1.9E − 11

2.7E − 13

2.0E − 12

4.00

4.9E − 14

1.4E − 14

1.7E − 16

2.1E − 14

4.3E − 15

1.8E − 15

8.00

2.8E − 14

7.1E − 15

8.6E − 16

1.8E − 14

2.9E − 15

1.2E − 15

12.0

2.8E − 14

3.6E − 15

1.6E − 15

1.1E − 14

2.1E − 15

8.6E − 16

16.0

6.8E − 15

5.3E − 15

1.9E − 15

1.8E − 14

1.6E − 15

6.7E − 16

19.9

2.8E − 14

8.0E − 15

2.3E − 15

7.1E − 15

1.3E − 15

5.5E − 16