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The main characteristics of using response surface for global optimization lies in balancing the need to exploit the fitting surface for improving the approximation.
We develop a two-dimensional adaptive pseudo-spectral procedure which is capable of improving the approximation of functions which are rapidly varying in two dimensions.
Our analysis of the greedy algorithm shows that, when applied to covering a bipartite graph using copies of Kq,q bicliques, it returns a feasible solution whose cost is at most (Hq2−Hq+1 OPT+1 where OPT denotes the optimal cost, thus improving the approximation bound for unweighted q2-set cover by a factor of almost 2.
For improving the approximation accuracy, we replace β̂ with β in (hat{r}(hat{beta})) and the accuracy will depend on the value of (omega_{i}).
The objective function expresses the magnitude response requirements in the whole frequency range properly, which is useful in improving the approximation quality to Hilbert transform pairs.
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Steel plates with curved soffits can significantly improve the approximation to the tyre effect, the extent of the improvement depending on the form of the curved surface.
Based on some theoretical work, an enhanced version is suggested to improve the approximation.
This modification improves the approximation performances and lightens burdens imposed on a network designer in the design process of SORN.
Automatic adaptive mesh-refining algorithms are an important tool to improve the approximation behavior of the finite element discretization.
The result is a denser fuzzy partition that may improve the approximation properties and the smoothness of the inverse F-transform.
A two-point fitting scheme is also described, where the function value at the preceding design point is used to improve the approximation.
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