Sentence examples for a finite set of components from inspiring English sources

In this system, decomposing algorithm is applied to divide the original wind speed data into a finite set of components.

C is a finite set of components of system S, (C subset ) Open image in new window ({mathfrak {C}}) (sqsubset {mathfrak {U}}) where Open image in new window denotes a power set.

The abstract open system S in the discourse of systems ({mathfrak {U}}) is a 7-tuple, i.e.: begin{aligned} S buildrel wedge over = (C, B, R^mathrm{c}, R^mathrm{b},R^mathrm{f},R^mathrm{i}, R^mathrm{o}), end{aligned} (5 where C is a finite set of components of system S, (C subset ) Open image in new window ({mathfrak {C}}) (sqsubset {mathfrak {U}}) where Open image in new window denotes a power set.

(R^mathrm{c}=C times C) is a finite set of component relations, (R^mathrm{c}) (subset ) Open image in new window ({mathfrak {R}}_mathrm{c} sqsubset {mathfrak {U}}).

We describe a nonlinear dynamical system as being an interaction and reaction system, called IRS, that is defined as follows: Definition 1 (Interaction and Reaction System (IRS)) An interaction and reaction system (IRS) is a tuple (V, I, R) where V is a finite set of biological components.

The algorithm is based on the assumption that each data series is primarily composed of a finite set of simple oscillations which are AM/FM components called intrinsic mode functions (IMF) by sifting process [79, 80].

The EMD method is a novel signal processing method which represents a time-series into a finite set of amplitude and frequency modulated oscillating components which are bases of the decomposition scheme.

Each equidimensional component is encoded by a generic fiber, that is a finite set of points obtained from the intersection of the component with a generic transverse affine subspace.

This controller consists of a steady-state impulse component with support in a finite set of points modulated by an unsteady feedback noise controller.

The goal of the underlying dimensional model is not to find a finite set of emotions as in the categorical model but to find a finite set of principal components of emotions.

Of a finite set of factors.