Sentence examples for by solving the weighted from inspiring English sources

The proposed method tries to obtain a better estimator than the elastic net estimator by solving the weighted elastic net problem and updating the weights alternatively.

Then the solution of the LSE problem is approximated by solving the weighted LLS problem.

Thus, the achievable rate region (R2 vs. R1+R2) can be obtained by solving the weighted sum rate (θ·R1+ 1-θ ·R2) maximization for θ∈ [ 0,0.5].

The boundary of the achievable rate region of the Vandermonde precoding can be characterized by solving the weighted sum rate maximization.

Now, to select w ′, the longest prefix of w with | w ′ | ≤ d, we employ an algorithm proposed by Kopelowitz and Lewenstein [ 28] for solving the weighted ancestor problem, where weights correspond to the length of words spelled in the path from the root to each node, in case of a suffix tree.

In this study, we use permutation groups in algebra to design an O δn) time algorithm for solving the weighted sorting problem by CCLP operations when the weight ratio between reversals and non-reversal CCLP operations is 1 2, where n is the number of genes in the given chromosome and δ is the number of needed CCLP operations.

In addition, we have proposed an O δn) time algorithm for solving the weighted sorting problem by CCLP operations when the weight ratio between reversals and non-reversal CCLP operations is 1 2, where n is the number of genes and δ is the number of needed CLLP operations.

In this section, we provide an algorithm for solving the weighted elastic net problem in (6) by modifying the LARS-EN algorithm [ 13].

To accommodate the algorithm from [19] for solving the weighted k-clique matching problem, we start by changing the variables stored by each node.

The proposed algorithm for solving the weighted sum-rate problem in the cognitive radio network, denoted by AWCR, is an iterative algorithm.

Thus, solving the weighted sum-rate problem is more general.