Sentence examples for variable bar from inspiring English sources

Exact(3)

The matrix variable (bar {mathbf {S}}) of dimensions N×L and elements bar{s}_{n,l}= left{ begin{aligned} 1 & text{if PRB }linmathcal{L} text{ is assigned to UE }ninmathcal{N} 0 & text{otherwise}, end{aligned}right.

On the other hand, let be given a ({mathcal {G}}_{t+} -measurable random variable (bar {pi }_{t+} -measurableherandomsts a process (Hin {mathcal {H}}) with the property that bar{pi}_{t} + int_{t}^{T} H_{s} dS_{s}geq fquad q.s.

(12). is used to denote the scheduling decision for all UEs on each PRB l, while the M×L matrix variable (bar {boldsymbol {alpha }}), with elements as introduced in (4), refers to the muting decision for all BSs on each PRB l.

Similar(57)

The haplotype variability was best explained by the additive effect of the model with three variables bar, exp and range limits (lim) (Akaike weight 0.95, Table 2).

However, it is noticeable that both control variables BAR Net and MR Page show unexpected positive signs.

Moreover, the scheduling and muting matrix variables, (bar {mathbf {S}}) and (bar {boldsymbol {alpha }}), are binary as described by the constraints in (15d) and (15e), respectively.

The problem is non-linear because of the relation between the muting and the scheduling decision variables, (bar {boldsymbol {alpha }}_{l}) and (bar {s}_{n,l}), respectively, in the constraints in (15c).

Boxplots and histograms are used to display the percent change for these variables; bar charts are used for categorical variables.

The population selfing estimate (s) was on average lower than the overall average in sites grouped by the predictor variables bar, bio, ref, hol and size, while it was higher in exp, marg and lim.

The fourth, dependent variable is (bar {eta }_{mathrm {s}}^).

In (1), the hidden variable is (bar {mathbf {x}}_{mathbf {b}}) and consequently, we need to evaluate (Q(boldsymbol {phi }|boldsymbol {phi }^{(n)})triangleq mathbb {E}_{bar {mathbf {X}}_{mathbf {b}}|mathbf {y}_{mathbf {a}},boldsymbol {phi }^{(n)}}[ln {f_{mathbf {Y}_{mathbf {a}}}(mathbf {y}_{mathbf {a}},bar {mathbf {x}}_{mathbf {b}}|boldsymbol {phi })}]).

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