Sentence examples for this approximation implies from inspiring English sources

This approximation implies that IA precoding does not affect the statistics of the equivalent channel towards the intended BS.

This approximation implies (10) where E(q ) is the module eigengene of module q,, and.

This approximation implies asymmetry in the treatment of the electron and proton couplings to the solvent (which also affects the application of the energy conservation principle to the charge transfer mechanism).

This approximation implies that the latent heat released due to mantle solidification is linearly proportional to the mantle secular cooling rate, and the ratio of the latent heat flow to the mantle secular cooling heat flow is QL,man /Qsec,m ≈ 0.24.

Since this level of approximation implies a time demanding computing, a second level of approximation has been used for some years where the densities of FMOs provide an easier to compute working equation: f ( 2 ) ( r ) = f + ( r ) − f − ( r ) ≃ ρ L ( r ) − ρ H ( r ), (2).

Although the dependent variable was a binary trait, the frequency of absence of any lesion was 52%, and so the approximation implied by the choice of model was judged as being reasonably correct.

Such a linear approximation implies almost no approximation errors.

(sketch of) For m,m' such that ed(m,m') > λ max, then Section Edit distance approximation implies that HD ψ(m;λ min ), ψ(m' λ min ) ≥ β log2(1/δ).

They state that for each individual function(f), without any prior knowledge of the class to which it belongs, the rate of decrease of the degree of approximation implies the smoothness class to which it belongs.

A well known first level of approximation implies the use of finite difference method where to the sum of electronic densities of the system with one more electron and one less electron is subtracted by the double of the total electronic density of the original system.

(sketch of) For m,m' such that ed(m,m') ≤ λ min, Section Edit distance approximation implies that HD ψ(m;λ min ), ψ(m' λ min ) ≤ α log2(1/δ) with probability 1 - δ. Hence P r [ f i ( ψ ( m ) ) = f i ( ψ ( m ′ ) ) ] > ( 1 - α c 2 ) r.