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In Figures 14 and 15, we report on the numerical test runs for,, and two values of, and, respectively.
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Instead EY is to use its own "strengths-based approach" and numerical tests to assess potential recruits.
Numerical tests are presented.
Numerical tests validate our approach.
Numerical tests demonstrate the uniform convergence rates of the method.
Furthermore, we propose a first order finite difference numerical discretization and perform several numerical tests to confirm the theoretical findings.
The two models were test-run by numerical simulation under computer-generated, uniformly distributed random sized particles on a hypothetical 0.254 m radius cone, from which a theoretical screening rate of 32.52 g/s was achieved.
Results of numerical experiments are run to test the backtracking algorithm on random graphs.
Tests ran for 30min.
Sample numerical simulation runs are performed.
Numerical simulation runs are performed iteratively at step 15 (Table 2) of the optimization algorithm.
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