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We can use numerical methods such as the quasi-Newton algorithm to numerically optimize the log-likelihood function given in Eq. (24), to get the maximum likelihood estimates of the parameters α,λ,a,b.
We use numerical methods to determine.
Consequently, to solve equations and boundary conditions we should use numerical methods.
However, we can use numerical methods to solve a general polynomial equation [9].
We now use numerical methods to study the behavior as τ increases.
In general, it is necessary to use numerical methods to solve equation (8).
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Its conclusions highlight the usefulness of using numerical methods to gain better understanding of critical joint design parameters.
These formulae are useful to enrich and speed up the currently used numerical methods.
This nonlinear system can be solved using numerical methods.
Instead, solutions must be approximated using numerical methods.
This says that by using numerical methods, one can obtain approximations of the unknown exact solution.
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