Sentence examples for necessary distribution from inspiring English sources

The two big challenges are providing the upfront investment for energy schemes, and building and maintaining the necessary distribution systems to enable them to reach sufficient scale.

However, application to translation-vibration (T-V) exchange is afforded by unrealistically approximating the quantized distribution as continuous and partially excited, and employing individual collision "temperatures" in an attempt to capture the temperature-dependence of the necessary distributions.

Aalbæk Jensen said the two versions were necessary for distribution purposes.

"We are confident that our filing will show clearly that the requested rate relief is essential to maintaining the necessary electric distribution infrastructure and needed services to serve our customers in a safe, reliable and adequate manner," he said.

Pseudo-Bessel beams are realized by different types of optical elements or systems, which create the necessary conical distribution.

The Privacy Data Management System provides the necessary key distribution and privacy policy management so as to support selective and secure recovery of original video based on the status and policy specified by an individual user.

Costs accounted for related to transportation, accommodation, and printing of presentations and practice tools necessary for distribution to the attendees.

When necessary, the distribution of the INT was shown by plotting the cumulative number of tubes frozen or the associated histogram.

Hence, the necessary probabilistic distributions are calibrated based on a large database of bond tests.

Inference in queueing systems is not easy: development of the necessary sampling distributions can be very involved and often the analysis is restricted to asymptotic results.

We present (i) a partial identification approach to detecting such inefficiency which is robust to selection on unobservables and (ii) a novel way of point-identifying the necessary counterfactual distributions by combining observational datasets with experimental estimates.