Sentence examples for total auxiliary from inspiring English sources

For Platt et al. (2012), the auxiliary power demand of the ORC equipment is assumed to be 20% of the generator's output considering that the total auxiliary demand accounted in its study (including the pumps of the geothermal loop) amounts to 37%.

The elastic modulus of the networks normalized to the network modulus of F-actin alone was plotted as a function of total auxiliary protein concentration (Fig. 2).

This matrix is multiplied by the matrix of estimated model parameters, i.e., the result is a sum of estimated population totals of auxiliary variables times the corresponding model parameter estimate, such as ( {widehat{tau}}_{Xj} cdot {widehat{beta}}_j ).

In deriving the variance of the estimator in Eq. (8), note that the part π′X of the estimator is a 1 × p matrix of design-unbiased estimators of population totals of auxiliary data, which we denote ( {widehat{tau}}_{boldsymbol{x}} ).

Total costs, including auxiliary roads, was NOK 910 million.

During her career U-30 was involved in eight war patrols and sank 16 merchant ships, totalling and one auxiliary warship of.

The alpha plus auxiliary power total 909 MW of which 430 MW is radiated from the core mostly onto the first wall and the balance flows into the edge plasma and is distributed between the first wall and the divertor.

Experimental results show that the presented architectures and algorithms reduce the number of used TSVs by 64.58% and 71.27% on average for the first and second architectures respectively, in cost of a negligible overheads in total wire length and auxiliary switches.

In each term the two components are independent, but the estimators of the auxiliary variable totals as well as the estimators of the parameters are typically correlated.

where ( boldsymbol{c}boldsymbol{o}boldsymbol{v}left({widehat{tau}}_{boldsymbol{x}}right) ) is the covariance matrix of the estimators of the auxiliary variable totals and ( boldsymbol{c}boldsymbol{o}boldsymbol{v}left widehat{boldsymbol{beta}}right) ) is the covariance matrix of the model parameter estimators.

The calibrated weightings are based on auxiliary population totals and the individual value for the auxiliary variables for the survey responders.