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After formulating the design of SMC as an optimization problem, the proposed method utilizes the genetic algorithms (GA) to find the optimal feedback gains and switching vector values of the controller.
An improvement over the non-parametric approach of deleting vector values of C i is to assign the value from the vector that has the highest conditional probability of being true based on other available data.
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The non-parametric solution to the problem is to delete the responses that contain a vector value of C i.
Particular, it is shown how fiber orientation, as vector value of finite elements, is sensible for a data transfer between meshes with out-of-plane material defects.
Finally, to show the multivariate discriminating pattern of ReHo maps, a threshold would be set at 30% of the maximum weight vector value of the discrimination and voxels with greater value would be exhibited.
To visualize the multivariate discriminating pattern for FA maps, we show all voxels that have values ≥30% of the maximum weight vector value of the discrimination map [Mourao-Miranda et al., 2005].
Images were thus assigned nine lacunarity values according to the mean of their red, green and blue vector values for each of three maximal box-sizes.
We classify the integer variables into blocks, each of which generates a finite set of vector values.
The results are more general and can be applied to other problems such as fourth order equation and vector valued systems of gradient type.
In this paper analogous connections between reproducing kernel Hilbert spaces of entire vector valued functions, de Branges spaces of entire vector valued functions, sampling formulas and symmetric operators with deficiency indices (p,p) are obtained.
In fact, by the mean value theorem of vector valued function, we have.
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