Sentence examples for analytical function that from inspiring English sources
The experimental results are reproduced using an analytical function that expresses the boundaries stiffness in terms of the bolt tension.
With these assumptions clarified, we sought to generate an analytical function that describes S r) purely as a function of nanorod geometry.
The proxy model is based on a series of analytical functions that link all model outputs used in the calibration process to all parameters requiring estimation.
Although it provides a limited accuracy and its applicability is limited to the step function type input signals, this model is extremely popular with simple analytical functions that can be easily incorporated into design and automation software.
For simple cases, such as molecules passively moving in a homogeneous media, FCS analysis yields analytical functions that can be fitted to the experimental data to recover the phenomenological rate parameters.
One can obtain variational expression for the energy (E_{n}) of the n-body system (for our case: (n=4) or (n=6)) of the systems under study by substituting (G({mathbf {p}}_{1},{mathbf {p}}_{2},ldots,{mathbf { p}}_{n})) with analytical functions that contain adjustable constants or parameters to compute the energy of four- or six-body system (see Eqs. 3.2 and 3.4).
Under these assumptions, the axial movement anywhere in the drillstring is basically a convolution between the axial movement on the top and a semi-analytical function that is derived in this paper.
Initial yielding is described using a recently developed analytical yield function that accounts for both anisotropy and strength differential effects.
A highly accurate analytical deflection shape function that describes the deflection profiles of capacitive micromachined ultrasonic transducers (CMUTs) with rectangular membranes under electrostatic pressure has been formulated.
The aim of the present work is to present an implementation method based on analytical probability functions that can be easily integrated numerically to predict the effective properties of heterogeneous materials.
Our contribution is a novel extension of Bayesian multi-objective optimisation to the case of one black-box (neotissue growth) and one analytical (operating cost) objective function, that helps determine, within a reasonable amount of time, what design variables best manage the trade-off between neotissue growth and operating cost.
