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Table 2 contains the error between exact and approximate u.
Table 2 includes the error between exact and approximate u.
The error between the continuous and discrete solutions is studied.
Non-linear MFA quantifies fluxes by minimizing the error between measurements and model predictions.
The error between FEM and empirical data is less than 17%%.
The rounding rule is designed to minimize the error between the requested and quantized inputs.
The error between the evaluation results and measurement results was found to be lower than 10%.
In general, the error between observed and calculated LAI was ∼6%.
Consequently, the learning capability is measured by comparing the error between demonstrator and corresponding learner streams.
This helps to reduce the error between design and measurement coordinate systems.
The error between the actual and predicted intercondylar distance was 8.1 (2.1) mm.
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