Sentence examples for expression for the estimation from inspiring English sources

An expression for the estimation of the acceleration step size in AALR method is derived.

The general expression for the estimation of the activity distribution (hat {Lambda }) using prior information is in the form: begin{array}{*{20}l} hat{Lambda} = underset{Lambda}{operatorname{argmax}} [ L(Lambda) - P beta, gamma, Lambda)], end{array}.

The closed-form expression for the estimation of τ is motivated by (23) and formulated as τ ̂ CFE = T 2 π Δ k ∠ ∑ i ∈ { 0, 2 } ∑ k ∈ K p b ~ k, i b ~ k + Δ k, i ∗ b k, i b k + Δ k, i (30).

To this end, expressions for the estimation of connection stiffness and capacity under axial actions are proposed and validated.

Analytical expressions for the estimation of an upper limit of the global turbulence kinetic energy, k, and the individual contributions of each diagonal term in the turbulent stress tensor are proposed.

More specifically, new closed-form mathematical expressions for the estimation of the average bit error rate are derived and could be easily used for the designing and implementation of the wireless optical links.

Emphasis is put on practical findings, and on proposing simplified expressions for the estimation of the contact enhancement factor and of the equivalent friction factor, that can be used at least for preliminary design purposes.

Additionally, the potential applicability of simplified component-based expressions for the estimation of stiffness and capacity of beam-to-tubular column semi-rigid connections under shear loads is discussed.

Expressions for the estimation of the power per unit length of wire to be installed were obtained, allowing the design of a heating system capable of supplying the substrate with the appropriate temperatures for the development of the root system in an optimal thermal environment.

We also present a performance analysis of the channel estimation approach and derive a closed-form expression for the channel estimation variances.

We also present a performance analysis of the channel estimation approach to derive a closed-form expression for the channel estimation variances.