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An analytical formulation which allows computing the delay of any flow, knowing its scheduling over links it crosses.
The model is included in a finite element code which allows computing different geometries and boundary value problems.
In contrast to other works, the method involves a FEA-based link stiffness evaluation and employs a new solution strategy of the kinetostatic equations for the unloaded manipulator configuration, which allows computing the stiffness matrix for the overconstrained architectures, including singular manipulator postures.
In describing this system we exploit a feature of CWC which allows computing the rate of some reaction with an ad hoc function used to represent nonstandard kinetics.
The delay-dependent stability conditions were presented in terms of the solution of algebraic Riccati equations, which allows computing simultaneously the two bounds that characterize the stability rate of the solution.
The delay-dependent stability conditions are presented in terms of the solution of algebraic Riccati equations, which allows computing simultaneously the two bounds that characterize the stability rate of the solution.
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In this analytical paper, we derive general mathematical relations which allow computing the diffusion-free differential and cumulative RTD in straight planar, circular and concentric annular channels for arbitrary monotonic and piece-wise monotonic one-dimensional velocity profiles.
Reliability was assessed using the generalizability theory, which allowed computing indexes of dependability (ϕ, analogous to intraclass correlation coefficient) and standard errors of measurement (SEM).
We show how to rapidly construct the whole geodesic flow map which then allows computing any geodesic by straightforward local interpolation, an operation with constant complexity.
This puts.NET on a par with its Java-based competitor (officially called Java 2 Platform Enterprise Edition, or J2EE), parts of which have been available since the late 1990s.Driving this rivalry is the Internet, which has allowed computing to become increasingly distributed.
When computing this matrix, the following approximations of scalar products in Eq. (1) appear: with, for example, which allows for computing the following angles between the K[tot] column vectors of the matrix: Fig. 2. Examples of the evaluation the Gauss coefficients estimation as a function of the number of points N : left coefficient g 1 1, right coefficient h 3 2. Error bars are shown.
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CEO of Professional Science Editing for Scientists @ prosciediting.com