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"All those signals have very small errors," Souman says.
Very small errors in prediction of the reservoir clay content or in its distribution pattern can lead to the large errors in estimations of fault permeability [8].
Nevertheless, use of the approximate solution yields very small errors over the range of width-to-height ratios (viz., 1 4) explored with FEA.
Although a full specification of such states is impossible, very small errors in specifying such states lead to very small deviations between model and target system behaviors, at least for short times and good models.
By contrast, an ill-posed problem does not have a unique solution and can only be solved by discontinuous applications of data, meaning that even very small errors or perturbations can lead to large deviations in possible solutions.
Quantitative error comparisons as well as direct comparisons of the transient responses of the approximate and exact models reveal that order reductions to 50% of the size of the initial model introduce very small errors in the system dynamics.
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The results clearly indicate that the reconstruction of the Nonuniformly sampled nonstationary signal can be possible with very small error.
In Table 2, the approximation of exponential function can meet the accuracy only for very small error.
As shown in Figures 4(b), 4(c), and 4(d), the original signal can be recovered with very small error after iterations.
However, when dealing with biomedical signals, we would like to "precisely" recover the signals (i.e., with a very small error).
This algorithm converges extremely quickly to within very small error tolerances as a function of k max, the maximum number of edges covered by trips generated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com