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The obtained discrete kinematic formulation is handled using available highly efficient solvers.
The case of repeated eigenvalues is handled using a dual formulation.
The uncertainty inherent with the risks is handled using fuzzy logic principles.
The uncertain nature of the network is handled using a stochastic-possibilistic programming approach.
This stage is handled using multi-threaded programming with fully dynamic task decomposition.
A detailed chemistry mechanism (GRI-2.11) is handled using in situ adaptive tabulation.
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Collisions are handled using a soft-sphere model.
Particle collisions are handled using a soft-sphere model that has been modified for parallel efficiency.
Previously, all of our project and account management as well as our finance processes were handled using Excel spreadsheets.
Patches that do not belong to any trained category are handled using a support vector machine (SVM) based classifier.
Effects due to the natural width of the K*0 are handled using the parametrization suggested by Gronau.
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