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In the method, we only need the knowledge of the eigenvalues to be altered and the corresponding eigenvectors, while we do not need the knowledge of the eigenstructures that are required to remain unchanged and are often unknown.
Since local existence results can be proved by using standard arguments, say, Galerkin method, we only deal with the a priori estimates.
Considering that the specific calculation formulas for the static load are not given in API RP 11L method, we only listed them in detail and the dynamic load can be calculated according to API RP 11L method.
In this method, we only limit the type range of probability distribution rather than the form of probability distribution, which can make the approximate distribution become more flexible and extensive.
By applying the above method, we only add 2π to the measured phase (point 3') to obtain the revised phase (point 3 "), which is not equal to the real phase (point 3).
To apply the proposed method, we only need the length of walkway and passenger forecast data, such as peak-hour factor ((varepsilon)), passenger peak-hour volume (q), mean headway between the trains (h) and the (c_{h}^{2}) of the arrival interval between the train.
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As an essential difference to some of the existing methods, we only use the given data values and, then, we do not modify the original triangulation.
Thus, for both threshold-identification methods, we only defined one set of RT thresholds for items in the second-stage blocks, mostly based on the RT distribution and P + information for the Control sample.
Because we obtained similar results with both methods we only discuss results from PhiTest.
Hence, among the stem methods, we only consider RNAmine for comparisons.
If the subject had attempted suicide by two or more methods, we only presented the most lethal one.
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