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Finally we discuss several extensions of the model problem and apply the methods to examples of industrial applications like an arrester, a bushing, and an insulator with partial wetting in Section 6.
We apply these methods to examples based on actual studies, including the negative binomial distribution for hookworm egg counts, a potential vaccine trial endpoint, and the gamma distribution for concentrations of insecticide on bednets.
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To illustrate the step size h on the mean-square stability of the CSSθ method, we applied the CSSθ method to Examples 5.1 and 5.2.
Results of the application of the method to examples are shown and compared with numerical results to demonstrate the validity of the technique.
We applied our method to examples taken from phenotype ontologies and provide an example ontology which is available from our project web site.
In Table 1, the convergence of the exponential Euler method to Example 5.1 is described.
To show the strong convergence order of the CSSθ method, we apply the CSSθ method to Example 5.1.
Using similar method to Example 5.2, we also solve the flip bifurcation parameters γ 2 = 0.115 … and s 2 = 2.194 … .
We have applied this numerical optimization method to example problems from the literature and report key observations.
In Table 1, we can see that the exponential Euler method to Example 5.1 is convergent, suggesting that (2.3) is valid.
Given appropriate and targeted topic and country selection, this approach is likely to meet the purpose of using structured methods to provide examples of effective research utilisation.
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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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com