Sentence examples for dimensional linear and from inspiring English sources

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After choosing suitable finite orders for truncation of Carleman linearization, finite dimensional linear and bilinear system representations are obtained for which the design of controllers and state estimators can be performed in a straightforward way.

Some fourth-order finite-difference discretizations of two-space dimensional linear and non-linear elliptic problems can be found in [10 13] and references therein.

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In this paper we have developed and used dynamical system tools to investigate the dynamic mechanisms of generation of subthreshold and phase resonance in two-dimensional linear and linearized (conductance-based) models, and we have extended these tools to include the effect of simple, but not necessarily weak, types of nonlinearities.

In [29] we have identified the basic biophysical mechanisms of generation of resonance and phase-resonance in two-dimensional linear and linearized conductance-based models, and we have conducted a thorough study of the properties of the voltage response in terms of the biophysical parameters.

We investigate the dynamic mechanisms of generation of subthreshold and phase resonance in two-dimensional linear and linearized biophysical (conductance-based) models, and we extend our analysis to account for the effect of simple, but not necessarily weak, types of nonlinearities.

Applications, theories, and algorithms for finite-dimensional linear and nonlinear optimization problems with continuous variables.

The study is carried out based on the three-dimensional, linear and small strain elasticity theory.

Spectral accuracy is shown in one- and two-dimensional linear and non-linear problems.

The two-dimensional linear and non-linear scalar conservation law and Euler equations are considered.

The three-dimensional linear and angular momentums of the trunk, upper arm, forearm, hand and racket were used for kinetic chain analysis.

Invasive Weed Optimization (IWO) algorithm is a simple but powerful algorithm which is capable of solving general multi-dimensional, linear and nonlinear optimization problems with appreciable efficiency.

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