Sentence examples for approximate characteristics from inspiring English sources

In order to define the approximate characteristics, let us denote by F h the P 2 -finite elements space associated with the triangulation T h, and we introduce the space R h ( ξ, θ, t ) = { ∇ ⊥ ϕ h : ϕ h ∈ F h, ϕ h = 0  on  ∂ Ω } ∩ K ( ξ, θ, t ), ∀ ξ ∈ Ω 0, ∀ θ ∈ [ 0, 2 π ], ∀ t ∈ [ 0, T ], where ∇ ⊥ ϕ h = ( − ∂ ϕ h ∂ y ∂ ϕ h ∂ x ).

The risk for subsequent self-harm in the patients from the two hospitals and the source of patients that nurses care for in these two hospitals are regarded as similar due to the approximate characteristics (e.g. mean age and gender ratio) of the patient source to that of a case register study in Taipei [ 40].

Matching & mirroring simply means that we match the approximate characteristics of the other person to help create alignment with them.

The approximate characteristic equations on critical currents and n values are obtained from this result.

Then, the electric field distribution inside the coil can be calculated with the approximate characteristic equations.

The characteristics derivative is approximated by a backward difference quotient along the approximate characteristic τ in the time stepping procedure [11].

In the equations above, the approximate characteristic is given by X ¯ u k k ( x ) = χ k ( t k ; t k + 1, x ), (48).

We also identify an approximate characteristic length scale that can be used to collapse the results for different gas particle systems.

Using Matlab® polynomial interpolation we approximated characteristics as could be seen in Figure 15(a).

This space, unlike RGB color space, is based on the opponent-process theory of color vision and approximates characteristics of the human visual system.

We consider the approximated characteristic function χ h k defined as the solution of the following ordinary differential equation: { d d t χ h k ( t ; t k + 1, x ) = P ( ξ h k, θ h k, t k ) u h k ˜ ( χ h k ( t ; t k + 1, x ) ), t ∈ [ t k, t k + 1 ], χ h k ( t k + 1 ; t k + 1, x ) = ξ h k + R θ h k Π ( t k ; t k + 1, R − θ h k + 1 ( x − ξ h k + 1 ) ), (58).