Sentence examples for optimal we can from inspiring English sources

So when p ∗ is optimal, we can attain the dual optimum as well as λ ∗,ν ∗.

In this case the solution proposed by the IM is already on the Pareto boundary of the bargaining region and it is Pareto optimal (we can improve the utility for one player only with a loss for the other one).

According to Proposition 1 (rate constraint is met with equality) and Remark 5.1 (uniform power allocation is optimal), we can write the optimal power as: begin{array}rcl@ p_{qn}^= left{ begin{array}{ll} frac{1}{s} left(exp left(frac{R^{min}}{N_{q}} right -1right) & text{if} x_{qn}^=1 0 & text{otheright -1right

Although less optimal, we can confirm BIRC6 down-regulation using Western blot.

Since the initial solution provides a lower bound on the optimal, we can verify that the greedy procedure always found a solution within 2% of the optimal (and perhaps even better).

The orthogonal blocks containing pairs of Latin squares provide mathematical expression for the information matrix (X^{prime}X) in terms of the symbols (a,b,c, ldots) Using any optimal criteria, we can determine the optimal values of (a,b,,cc, ldots) Prescott (1998) discussed the re-parameterization of co-ordinates of points in a mixture region and constructed nearly D-optimal designs.

In the solving process, the scope of deviation can be set according to the type or credibility of a corresponding institution, and taking the claimed position as the initial value of the real location and adopting the idea of optimization to find a set of optimal solutions, we can get the real positions of landmarks, as well as the geolocation result of the target.

We also show that by counting the number of near optimal alignments as a function of the distance from the optimal score, we can select a good set of parameters that best constraints the biologically relevant alignments.

After we use bisection method to obtain the optimal αO, we can calculate the P i O readily.

Corresponding to the basic vector field V 1 in the optimal system, we can obtain only a constant solution.

Nowadays, I may still attend a marketing conference here and there, but I gravitate toward smaller events like workshops and mastermind groups where engagement is optimal, and we can bounce ideas back and forth without any time constraints.