Sentence examples for all the primary variables from inspiring English sources
All the primary variables, including the free surface elevation, are discretized using discontinuous polynomial spaces of arbitrary order.
For the first time, all the primary variables affecting the aging of an interconnect and the transistor – namely, the equivalent duty-cycles, slews and frequencies are incorporated into the calculation.
We develop high-order methods for the SWE that exhibit optimal orders of convergence for all the primary variables via two distinct paths: the first involves the use of a convolution kernel made up of B-splines to filter out errors in the DG discretization of the surface elevation and the corresponding pressure flux.
Table 2 summarizes the correlation coefficients for the primary variables by group and across all participants.
The latter is the primary variable.
Compared to the primary variable switching (Wu and Forsyth 2001) and the negative saturation (Abadpour and Panfilov 2009) approach, the choice of P and X as primary variables fully covers all three possible phase states, i.e., the single-phase gas, two-phase, and single-phase liquid regions.
The primary variable not accounted for in these doubling time estimates is deaths.
But the fully implicit method calculates the main variables at the same time (all primary variables at the new time level are determined simultaneously), the IMPES method solves pressure equations at the new time level by using saturation equations at the old time level, then the pressure equations at the new time level are solved to calculate the saturations at the new time level explicitly.
Using the raw quantitative data from the participants of both groups we will present descriptive statistics summarizing the mean and standard deviation with respect to all the primary study variables.
Our algorithm is based on the unsplit formulation of Colella (J. Comput. Phys. 87, 1990), with all of the primary dependent variables centered at the same location.
There was significant improvement with treatment, as measured by all of the primary efficacy variables, through 6 months: MMSE increased by 2.13 ± 2.23 (p < 0.003), ADAS-Cog improved (decreased) by 5.48 ± 5.08 (p < 0.006), and SIB increased by 16.6 ± 14.52 (p < 0.04).
