Sentence examples for derivatives process from inspiring English sources

Exact(2)

In other words, "On Line" once more traces what seems to be becoming the Modern's sacred text: the "dematerialization of the art object" set in motion by Conceptual Art and its derivatives, Process Art, earthworks and performance.

The two analogous compounds are present in the same acetoin (or 2,3-butanediol) pathway, but their production processes including optimal strains, substrates, derivatives, process controls and product recovery methods are quite different.

Similar(58)

In this method, a special Lyapunov function for achieving functional optimization is constructed and the probabilistic property of the derivative process of the stiffness is taken into account.

Then, normalization of structural responses is performed so that the expected decay rates can be formulated in terms of covariance of a structural response, its time derivative process and its Hilbert transformation at the same time.

In dimension four we link the local Yang Mills action to the quadratic variation of the derivative process defined by scalings of the driving Brownian motion in a coordinate chart.

As was noted, since temporal random excitation of pavement surface Gaussian ergodic random process with zero mean, the response Z i (t) and its derivative process ( dot{Z}_{t} (t) ) are both zero mean Gaussian stationary stochastic processes.

The marginal distributions for output i and its derivative process at any input point, (7) where is the mean of the original process, the mean of the derivative process, the variance of the original process and the variance of the derivative process, and furthermore Equations (6) and (7) can easily be extended to make predictions about any number of variables.

To expand the utilization of 2,3-butanediol produced from biomass, an improved derivative process of 2,3-butanediol is desirable.

The reason is because a sizable derivative process for this chemical has not yet been developed until now.

Our derivative process approach allows us to model changes in metabolite derivative concentrations and to characterize the temporal behaviour of metabolic fluxes from time course data.

Taking a derivative of Y with respect to t, it is possible to obtain a new process U that is also a GP (Boyle, 2007), Thus, it is possible to construct the derivative process by convolving a white noise GP X t) with a derivative kernel function g(t).

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