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In general, the computation has to be based on numerical optimization.
Robustness of the inference approximation is important for experimental design, since decisions should not be based on numerical instability artefacts of the method, but on the data alone.
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These procedures are based on numerical simulation techniques.
Current detailed seismic evaluation methods are based on numerical approaches.
Usually, these generators are based on numerical algorithms that produce seemingly unpredictable number sequences.
The current study is based on numerical regression analysis using MATLAB.
In [5], inference is based on numerical inversion of the Laplace transform.
This equation is based on numerical solution and is obtained for a power law fluid with yield stress.
Some of these methods are based on numerical techniques while others rely on analytic solutions.
Comparison is based on numerical experiments where synthetic and real data are used.
The microscale model is based on numerical simulations or alternatively to analytical models.
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