When the number of generation is increased to 20,000, we obtained better results.
For SdM, we obtained better performance when the model was applied to the lowest point density.
We obtained better results when ψ=3.6 for the weighting tensor G and μ=300 for the constraint.
Using the proposed model, we obtained better fitting than that achieved with simpler settler models that include only a time delay.
In our VC experiments, we obtained better performance with our model than the other non-parallel VC approaches in both objective and subjective criteria.
After implementing a recently developed correlation and corresponding heat transfer regime map into GAMMA to cover the whole range of the DTHT regime, we obtained better agreement with the data.
We have computed maximum absolute errors for coupled viscous nonlinear Burgers' equation in Examples 7 and 8. On comparing the nature of computed solution with the computed solutions available in [10, 11], we obtained better results by our scheme.
When applying the proposed method for calculation of DNI for three Algerian ground stations (Algiers, Ghardaia, and Tamanrasset), we obtained better performances than those of the five spatial databases' data, especially for the monthly values.
It is important to mention that for Example 4.3 we only used (n=4), i.e., four iterations, and we obtained better approximate values, while in [32] the authors used five iterations.
When applying the proposed method for calculation of DNI for three Algerian ground stations (Algiers, Ghardaia, and Tamanrasset), we obtained better performances than those of the five spatial databases' data, especially for monthly values of DNI.
In fact, we found that we obtained better results if we did not normalise the matrix M. The SVD decomposes the matrix M as M_{text{mn}}= U_{text{mm}}S_{text{mn}}V_{text{nn}}^{T}, where U T U=I, V T V=I; the columns of U are orthonormal eigenvectors of M M T ; the columns of V are orthonormal eigenvectors of M T M; and S is a diagonal matrix containing the singular values of M in descending order.
