Sentence examples for linear request from inspiring English sources

It can be shown that in order to shape the non-linear output of on off thrusters into linear request output, a set of thruster control methods can be exploited.

The forward vehicle tries to select a far relay vehicle in the intended direction on a linear road through request to broadcast (RTB) packet and clear to broadcast (CTB) packet.

We requested linear regression model coefficients for the association between a 1-ng/mL increase in PFOA (modeled as an untransformed continuous variable) and each outcome from authors if they were not reported, or, if less burdensome for authors, the raw data needed to calculate the estimated difference in birth weight.

Thus, ten nodes in the linear topology make a request to admit a new flow.

On request, the linear elastic material model can be enhanced to a nonlinear one accounting for isotropic damage and hence delivers more accurate damages prognoses (Schindler 2014).

They also supplied the results of a linear regression on our request for further data, which showed that RASM did not predict MMSE after adjusting for age and sex (beta −0.003, p = 0.940).

Furthermore, when we combined the first three groups into one category in our data, the relationship between fasting glucose categories and LGA seemed to be linear (data available on request).

The SAR indicated that the binding pocket of ATGL requests rather linear compounds without bulky substituents.

We see a linear relationship between the VN request size and the embedding cost (as is expected), where roughly each node added to a VN request costs about 250 units.

The above routing mechanism however continues to work as long as successor links ((n^{-1}_{textit {key}}.finger[!0])) are correct: in the worst case, routing might degrade to a linear complexity as a routing request travels the ring in search of the node holding a key, but the system continues nevertheless to function.

They are obtained by requesting an approximately linear, input output response and exploiting the connections between model-predictive control and input output linearization.