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Solexa/Illumina libraries were assembled using the following iterative assembly procedure on each library: In each iteration, the Burrows-Wheeler Alignment tool (BWA v. 0.5.9, [ 16]) was used to map Solexa/Illumina reads of the respective library onto the previous assembly.
This is accomplished using the following iterative function.
This is done by using the following iterative method.
They proved a strong convergence theorem by using the following iterative algorithm: (1.16).
In 2008, Hao [14] obtained a strong convergence theorem by using the following iterative algorithm: (1.14).
Case 2: If equation (1) is nonlinear, that is, (p eta)neq0), then an approximate solution can be obtained by using the following iterative method.
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Initial values for and can be set as [22] (25).
The conjugate gradient methods for solving the above problem often use the following iterative rules: x k + 1 = x k + α k d k, (1.2).
We use the following iterative algorithm to compute the arrival rates of handoff voice and handoff data attempts in each cell.
To solve (1) using the conjugate gradient (CG) method, we normally use the following iterative method: x_{k + 1} = x_{k} + alpha_{k}d_{k}, quad k = 1, 2,ldots, (2) where the starting point (x_{1} in mathbb{R}^{n}) is arbitrary and (alpha_{k} > 0) is the step length, which is computed via a line search.
In order to overcome this limitation, we use the following iterative partitioning algorithm: Iterative partitioning.
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