Sentence examples for a stationary function from inspiring English sources

Exact(1)

The last equality implies that on the C [ 0, π ] -space the function in brackets is a stationary function of the fractional Sturm-Liouville problem for Coulomb potential.

Similar(58)

A classical residual model can be considered: the temperature is modeled as the sum of a mean function (the expected value), m(t), deterministic, and a stationary random function (StRF), Y t), called fluctuation or residual, with zero mean (Figure 3, Equation 5).

We assume a layered structure, with permeability a stationary random function of the vertical coordinate, of given mean and two point covariance.

Anthony Tommasini has already noted in The New York Times that this apparatus — which often resembles a kinetic sculpture — may be at its best when quietly stationary, functioning foremost as a video screen, and he may be right.

c(a) is proportional to the survival function, l(a), which means that c* y) is proportional to some thanatological function, l* y), a stationary thanatological cumulative increment function.

In addition to these well-understood motors, eukaryotic cells contain numerous unconventional myosins, which share a myosin-motor domain (MMD) but are thought to have more stationary functions rather than travelling along the actin filament (Woolner and Bement, 2009).

Given a stationary probability density function (pdf), we address the reverse engineering problem: design a jump-type stochastic process whose target pdf (eventually asymptotic) equals the preselected one.

Radial flow takes place in a heterogeneous porous formation where the transmissivity T is modelled as a stationary random space function (RSF).

The paper describes the development of a method for statistical analysis of the response of a non-linear, second-order dynamic system subjected to a stationary, Gaussian forcing function.

The existence of random erasure probabilities means that each ε i is the realization of the random variable θ such that ε i ∼f θ (ε i ),∀i∈ [ 1,N], where f θ is a stationary probability distribution function.

Under the condition limsup x → ∞ β λ ( x ) r ( x ) < 1, the workload process is ergodic and possesses a stationary probability density function (PDF) denoted by v(x),x>0.

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