Sentence examples for by the variable h from inspiring English sources

Exact(1)

Finally, minimizing the right hand part of (26) by the variable h, we arrive at inequality (27).

Similar(59)

In this SEM, the variables h and d are assumed endogenous or jointly determined by the system of simultaneous equations.

Then, the length-Lc codeword {X t [i] |i = 1,..., Lc} multiplied by the random variable H k,t is summed with independent and identically distributed (i.i.d) complex Gaussian noisea samples Z k, t i | i =  1,..., L c,  Z k, t i ~ C N ( 0, σ k 2 ) resulting in Y k, t [ i ] = H k, t X t [ i ] + Z k, t [ i ], i = 1,..., L c. (1).

This yields the HME3M likelihood, (3) The parameters of (3) can be estimated using the EM algorithm by defining the esponsibilities variable h im to be the probability that a sequence i belongs to component m, given x, θ m, β m and y.

Using a GMM regression, the t-statistics indicate that the health variable h is largely influenced by the weighted fractional rank deviation d, but there is no feedback or two-way influence in the sense that the weighted fractional rank deviation d is not affected by h.

To avoid this difficulty, Nilsson et al. [19, 20] denoted the internal energy ρe by a new variable H and showed the processes of concentration of both mass and internal energy on the delta shock wave front.

The index volatility (risk) is measured by variable (h m,t ), and π 0, π i, θ 1, θ 2, θ 3, γ are parameters.

The index volatility (risk) is measured by variable (h m,t ), INT t − 1 is short term interest rate volatility, FX t − 1 is foreign exchange volatility, and π 0, π i, θ 1, θ 2, θ 3, γ, α 0, α 1, β, δ 1, and δ 2 are parameters.

Using (18) in (15), it can be shown that the posterior mean of the speaker-specific latent variable h i is given by E h i = M F T J ⋅ ∑ j = 1 J ϕ ij − μ, (22 while the session-specific posterior mean of w ij could be inferred as E w ij = G T Σ − 1 G + I − 1 ⏟ Q G T Σ − 1 ϕ ij − μ − F ⋅ E h i. (23).

In contrast to the IEC60287 standard, the effect of the variable heat transfer coefficient (h) caused by the variable wind speeds, is taken into account following a Finite Element Method approach which leads to a different thermal behavior than the expected one.

With this approximation, the n− r+2 independent variables ψ i, i ∈ I e are expressed by n− r+1 variables h i, i= r,…, n, and then the steady state Equations in (3) are solvable.

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