Sentence examples for the computation price from inspiring English sources

In Part II of this series of papers, we study the computation price to be paid (in terms of complexity) for these epistemic desiderata.

Therefore, the application of hedonic regression techniques to the computation of price indexes seems to be clearly justified.

As well known, the major difference lies on the way non-convexities are considered in the computation of market prices.

Our key contribution is the two-hop interference pricing framework that allows for the integration of information about the first-hop performance and timesharing value in the computation of interference prices on the second hop for design the relays.

Because a product may vary in quality from one observation to another, even though it retains the same general specification, the usual procedure is to avoid the computation of average observed prices for each commodity for each date.

We first present the computation method of interference prices.

One of our main contributions is to propose a modification of the computation method of interference prices to integrate information about t and { ξ ̄ k } k = 1 K, which we refer to as the two-hop interference pricing framework.

To do this, for the three models and reduce the computation complexity of the American option price, we model the EEB as a polynomial of a degree 10 (as we used 10 steps to determine the EEB) as follows: {S^_{left tau -{omega}_iright)}={displaystyle sum_{k=0}{left taulpha}_k}{left(tau -{omega}_iright)}^k where 0 ≤ ω i  ≤ τ and is an integer : 0 ≤ i ≤ 10.

Our method allows the computation of the greatest and least price-payment equilibrium, see Algorithm 3.4 and Remark 3.6 below.

In either event, the purchase price is known, and the computation of basis is easy.

In this work, the minimum price-offering resource while satisfying the computation deadline (T_D is selected. This dynamic auction procedure is repeated sequentially for each auction round.