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When the nonlinearity was mild, three approaches based on MF gave correct predictions of standard errors, when compared with the simulation.
In this paper, we show on 1D and 2D examples that the last method gives lower relative errors when compared with the time reversal method.
We design and implement a multi-start heuristic which produces solutions with small errors when compared with optimal solutions obtained by solving an integer programming formulation with a commercial solver.
Further, it is shown that CTM strategy is advantageous with respect to the motor and bearing temperature stabilization for a wide range of spindle speeds, thereby leading to significant reduction of thermal errors when compared with ATS.
The location error is characterized by its cumulative distribution function (CDF): Some results are represented in Figure 2, where we can see that the linearized LS approaches give higher errors when compared with range-free techniques in this environment and also are much more sensitive to location attacks.
Medication charts in the intervention arm contained fewer clinically significant omissions, and prescribing errors, when compared with controls.
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Graduates aged between 21 to 25 are reportedly twice as likely to make a grammatical error when compared with people who did not go to university.
The results indicate that our proposed method achieves great reductions in mean squared error when compared with standard approaches.
The mean AARD for the proposed model is 21.4 (±15.9)%, which is an acceptable error when compared with the experimental uncertainty.
A validation demonstrates the calculation of shading losses due to a chimney with less than one percent error when compared with measured values.
Firstly, the three methods based on the data-driven methodology all show a successful reduction of random error when compared with the other methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com