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The efficiencies obtained with the operating line method are higher than those calculated with the pinch method, when both are applied to a dominant power load case.
However, there is a question on applicability of the method when both forced and free oscillations exist in the system.
In order to improve the performance of the proposed method when both head yaw and tilt occur, we need another tilt estimator.
Comparatively, the hybrid method converges faster to the solution in only 9 algorithm iterations compared to 13 iterations for the adjoint method when both are started from the same initial point and under the same stopping criteria ( ∇ J < 10 − 10 ).
This is the only site considered in this paper where the adjusted method performs less well than the usual 'current probability' method, when both are compared against the lifetime risk calculated using first primaries only.
molecular testing is the preferred method when both mutations are known; enzyme analysis in chorionic villus samples is preferred when molecular testing is not feasible, or when enzyme analysis is an adjunct to molecular testing, though confirmation in amniocytes may be considered if mutations are known.
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Nonetheless, it is interesting to study the relationship between clusters detected by the two methods, when both are applicable (i.e. if the translatome expression profiles are available).
These scenarios allowed us to assess the performance of the LD method when estimating both the effective number of breeders per year (N b ) and the per-generation N e.
We compare the efficiency of this new strategy to the in silico SNP mining method when using both methods for targeted SNP discovery.
As shown in this figure, the second-order IFCP method is superior in the amplitude of the error (for both mean and variance) than the first-order method, when combined with both the MC and MLMC discretization of the probability space.
The results show the significance of the new SL-TLBO scheduling method when applied to both benchmarks test and two scales of DEED test systems in terms of both the convergence speed and accuracy.
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