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As shown in (13), the security-constrained line loss minimization problem can be solved by finding the value of (Delta dot{I}_{U}^) of the minimum magnitude that satisfies the security constraints of the system, denoted by (Delta dot{I}_{U}^Delta I_{{U{text{x}}}}^ {text{ + j}}Delta I_{Uy}^).
Note that this threshold is not simply given by the value E[R] where the average interruption time for both policies are equal, but is obtained by finding the value of E[R] where (37) is the same for both OSA policies.
Since these three parameters are fixed values, we can estimate the corresponding single-frequency signal amplitude value S L (k) by finding the value at the scattering point of the rigid body, and the frequency value of the single-frequency signal can be estimated by k 0 so that we can estimate the single-frequency signal corresponding to the rigid body scattering point.
The tightest bound is obtained by finding the value of s that provides the minimum of the right-hand side (RHS) of (24) and (25), i.e., the minimum of e−s λg L (s ; H j ) for each j=0, 1. Taking the derivative, the value s that provides the tightest bound under each hypothesis is such that a λ = d g L ( s ; H j ) d s g L ( s ; H j ) s = s ~ j = d d s ln g L ( s ; H j ) s = s ~ j. (27).
We determined the appropriate β for this model by finding the value that maximized the likelihood of the data using a Newton type algorithm (as implemented in the nlm function in the R statistical language) [12].
The estimate of cN was derived by finding the value that minimised the deviance.
Similar(53)
"Those who have lived through difficulties and have seen the dark days of desperation," Mr. Marchionne continued, "know that the only way to get through them is by finding the values that are important in life; rediscovering a sense of belonging to a project, a community, a nation; embracing hope; looking ahead; and taking your destiny into your own hands.
6 and 7 to the dataset by finding the values of the model parameters that minimized the squared difference between model predictions and field data.
For a prediction at time T, we use the votes up to time T to estimate the r values by finding the values that maximize L = log ( P ( r S, r F, r N | votes ) ) + log ( P prior ( r S ) P prior ( r F ) P prior ( r N ) ). (15).
They determine the BLASTP threshold and size of gene neighborhood by finding the values that maximizes the agreement with InParanoid [ 17] and Ensembl Compara [ 22] orthologs.
We therefore determined 95% confidence intervals by finding the values of parameters so that Q was less than the 95th quantile of the corresponding chi-squared distribution.
More suggestions(17)
by finding the values
by multiplying the value
by finding the center
by finding the maximum
by finding the length
by finding the difference
by finding the company
by finding the culprit
by finding the place
by finding the intersection
by finding the testosterone
by finding the humor
by finding the unit
by finding the shoulder
by finding the strength
by finding the boy
by finding the partition
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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