Sentence examples for moment variables from inspiring English sources

For this model to be well-posed, its moment variables must fulfill certain realizability conditions.

Our main focus is the design and implementation of an explicit Runge Kutta discontinuous Galerkin method which, under a more restrictive CFL condition, guarantees the realizability of the moment variables and the positivity of the material temperature.

Under these experimental conditions, significant and linear effects of posting were seen for the peak (p<0.001) and mean (p<0.001) rearfoot eversions, peak (p=0.003) and mean (p<0.001) ankle eversion moments and peak (p=0.017) and mean (p=0.005) knee adduction moment variables.

A mixed-design repeated measures ANOVA (2 × 2 × 2) was used to test for the main effect and interactions of time (pre vs. post-test), risk factor (high-risk vs. low-risk) and side (dominant vs. non-dominant) on the dependant variable knee abduction moment variable recorded during the DVJ in the training group.

In both moments variables not included in vector z could be playing a role.

positive and finite second moment random variables with E X 1 = μ, Var X 1 = σ 2 > 0 and the coefficient of variation γ = σ / μ, then ( ∏ i = 1 n S i n ! μ n ) 1 / ( γ n ) ⟶ d e 2 N as  n → ∞. (3).

This paper proposes a coupled axial shear flexure interacting (ASFI) hysteretic model that can capture the nonlinear interactive behavior of RC columns under combined action of shear, bending moment and variable axial load.

By comparing a large number of SEEs, we found that the responses of a Type II model to reliable SEEs in the phase plane are regularly characterized by a lower value of the gating variable w at the moment the voltage variable crosses the working threshold at v th = − 20  mV.

Even though complicated processing by several nonlinear functions is involved, we can well describe the first and second statistical moments of the variables g z ij ) using a convenient formula that holds with great accuracy within certain bounds.

To predict the runoff at given moment, the input variables are the rainfall and the runoff values observed on the previous time period.

Statistical analyses included descriptive statistics, reliability testing, and Pearson product moment correlation among variables.