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In addition, the two-pipeline architecture represents staged computation where parallelism can be achieved by computing different stages simultaneously on different inputs, mainly when dealing with more than one side simultaneously.
This method is achieved by computing grid metric derivatives through a conservative form with the same scheme applied for fluxes.
Smoothing is achieved by computing the metric tensor on the dual mesh elements, which incorporates the influence of neighbor elements.
The alignment process is achieved by computing the real-time relative motion between the different inertial units.
This is achieved by computing offline a generic solution as a function of the design modification parameters.
Moreover, in the simulator, evaluation of the complex output signals is achieved by computing the polarization and energy of every ray.
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Validation of such models has been achieved by comparing computed entities to measured ones [ 20].
Real time visualization is achieved by incrementally computing a polygonal approximation via the Marching Cubes algorithm.
Since two LTRs of a single LTR retrotransposon have identical sequences at the time of integration, dating the transposition event of a LTR retrotransposon can be achieved reliably by computing the sequence similarity of its two LTRs [ 13].
Comparisons between treatment scenarios are achieved by re-computing the failure-time curves for the same patients under each treatment scenario.
It achieves this by computing the minimal free energy of all sub-sequences in a given sequence using RNAfold of the ViennaRNA package [ 27].
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