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Table 5 The simulation test schemes Scheme no.
Setting |Ns| and RMSEreq in different values, we simulate the following four schemes: Scheme 1. |NS| = |NAP| + |NP|, RMSEreq = 0.
The linearized schemes, Scheme 2 and Scheme 3, are more efficient than Scheme 1 regarding the issue of the cpu execution time required.
To understand and compare the performance of our SPO approach under such fluctuations, we compare it against the following schemes: Scheme 1: SPO.
Among the 12 parameterisation schemes, Scheme 4 outperforms the other schemes with the best average performance in simulating rainfall totals and temporal patterns; in contrast, Scheme 6 is generally a good choice for simulations of spatial rainfall distributions.
To show the differences and possible issues related to point-to-point method, the scheme of meshed transmission system from Fig. 4 was modified (reduced) to schemes (Scheme I and Scheme II) in Fig. 8a and Fig. 8b.
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Purposive sampling of schemes was undertaken to include urban, rural and metropolitan schemes, schemes in areas with and without dental schools and geographic coverage across England and Wales.
The authors proposed the following reaction scheme (Scheme 2).
In order to test the computational efficiency, we compared the CPU time of the BDF2-LE scheme (Scheme 3.1) with the classical fully implicit BDF2 scheme (Scheme 5.1).
The simplified scheme (Scheme 1) for micro activity tests is shown as below.
In the first scheme (scheme 1), I out=4 and I in=2 iterations are performed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com