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Table 2 Example 4.2, maximum absolute errors for the case \(\tau = 0.5\varepsilon\)

From: Fitted computational method for solving singularly perturbed small time lag problem

\(\varepsilon \downarrow\)

N = M =16

32

64

128

256

\(2^{-0}\)

2.4094e−04

4.5191e−05

5.3745e−06

4.6776e−06

3.4511e−06

\(2^{-2}\)

5.8848e−04

1.7058e−04

1.1039e−04

6.2476e−05

3.3191e−05

\(2^{-4}\)

2.1117e−03

7.2963e−04

3.0344e−04

1.3611e−04

6.4377e−05

\(2^{-6}\)

4.6754e−03

2.2578e−03

8.2105e−04

2.8430e−04

1.0734e−04

\(2^{-8}\)

4.8645e−03

2.9411e−03

1.5511e−03

6.7433e−04

2.3656e−04

\(2^{-10}\)

4.8682e−03

2.9448e−03

1.6029e−03

8.4404e−04

4.2558e−04

\(2^{-12}\)

4.8691e−03

2.9452e−03

1.6032e−03

8.4463e−04

4.3880e−04

\(2^{-14}\)

4.8693e−03

2.9453e−03

1.6032e−03

8.4466e−04

4.3881e−04

\(2^{-16}\)

4.8693e−03

2.9454e−03

1.6032e−03

8.4467e−04

4.3881e−04

\(2^{-18}\)

4.8694e−03

2.9454e−03

1.6032e−03

8.4467e−04

4.3881e−04

\(2^{-20}\)

4.8694e−03

2.9454e−03

1.6032e−03

8.4467e−04

4.3881e−04

\(E^{N,M}\)

4.8694e−03

2.9454e−03

1.6032e−03

8.4467e−04

4.3881e−04

\(r^{N,M}\)

0.7253

0.8775

0.9245

0.9448

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