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Table 1 Computed \(E_{\varepsilon _{1},\varepsilon _{2}}^{N,M},E^{N,M},{\overline{R}}_{\varepsilon _{2},\varepsilon _{2}}^{N,M}\) and \({\overline{R}}^{N,M}\) for Example (1) at \(\varepsilon _{2}=10^{-6}\)

From: Gaussian quadrature method with exponential fitting factor for two-parameter singularly perturbed parabolic problem

\(\varepsilon _{1}\)

\(N=M=16\)

\(N=M=32\)

\(N=M=64\)

\(N=M=128\)

\(N=M=256\)

\(N=M=512\)

\(\downarrow\)

      

\(10^{-4}\)

\(1.6273e-02\)

\(4.3478e-03\)

\(1.1160e-03\)

\(2.8003e-04\)

\(6.9103e-05\)

\(1.7015e-05\)

 

1.9041

1.9619

1.9947

2.0188

2.0219

\(10^{-6}\)

\(1.6372e-02\)

\(4.3839e-03\)

\(1.1325e-03\)

\(2.8759e-04\)

\(7.2394e-05\)

\(1.8152e-05\)

 

1.9009

1.9527

1.9774

1.9901

1.9957

\(10^{-8}\)

\(1.6374e-02\)

\(4.3846e-03\)

\(1.1328e-03\)

\(2.8773e-04\)

\(7.2451e-05\)

\(1.8177e-05\)

 

1.9009

1.9526

1.9771

1.9896

1.9949

\(10^{-10}\)

\(1.6374e-02\)

\(4.3846e-03\)

\(1.1328e-03\)

\(2.8776e-04\)

\(7.2480e-05\)

\(1.8195e-05\)

 

1.9009

1.9526

1.9770

1.9892

1.9940

\(10^{-12}\)

\(1.6374e-02\)

\(4.3846e-03\)

\(1.1328e-03\)

\(2.8776e-04\)

\(7.2480e-05\)

\(1.8195e-05\)

 

1.9009

1.9526

1.9770

1.9892

1.9940

\(10^{-14}\)

\(1.6374e-02\)

\(4.3846e-03\)

\(1.1328e-03\)

\(2.8776e-04\)

\(7.2480e-05\)

\(1.8195e-05\)

 

1.9009

1.9526

1.9770

1.9892

1.9940

\(E^{N,M}\)

\(1.6374e-02\)

\(4.3846e-03\)

\(1.1328e-03\)

\(2.8776e-04\)

\(7.2480e-05\)

\(1.8195e-05\)

\({\overline{R}}^{N,M}\)

1.9009

1.9526

1.9770

1.9892

1.9940