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This equation allowed estimation of initial concentrations of ethanol with minimal error.
Finally, an optimization model has been proposed to achieve minimal error prediction.
Another interesting property of the normal realizations is that they yield a minimal error propagation gain.
Epicondylar breadth, AP diameter, ML diameter and cortical area also yielded minimal error.
It is defined as the optimal solution to a minimal error equation using the measured microphone cross-spectra as reference.
Therefore, it is important to develop methods that can easily update old data into new data with minimal error.
Given the robustness and significant performance of our methodology, our system can be used in practical applications with minimal error.
The numerical model captures the experimentally obtained results with minimal error, and predicts the failure modes successfully.
In this paper, yet another iterative procedure, namely the minimal error method (MEM), for solving stably the Cauchy problem in linear elasticity is introduced and investigated.
Big-leaf models overestimated canopy transpiration with increasing error as canopy density declined, but models that included gaps had minimal error regardless of canopy density.
The goal is to obtain the minimal error in tracking a random signal, by searching through all possible stabilizing two-parameter controllers.
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