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Furthermore, within material and geometrical variables considered, concrete compressive strength is the variable of the first importance followed by column dimension and steel strength, while all other variables can be treated as deterministic variables.
Uncertainty associated with the diffusion coefficient, residual water content and first-order decay coefficients is often not a significant issue with respect to the probabilistic outcome; thus, these variables may be treated as deterministic constants.
Hence, they can be treated as deterministic variables.
The most important conceptual issue that has not yet been resolved is the question of which quantal endpoints should be treated as deterministic or stochastic quantal endpoints.
For simplicity of notation, we additionally assume that e full,K (s ) and e incompl, K (s ) are obtained by averaging over a large number of CV runs, i.e. over a large number of random partitions, and can thus be treated as deterministic.
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The loads of still-water-induced and wave-induced bending moments were treated as deterministic values.
If the PM is treated as deterministic event as shown in Model 2, a rapid step change will be caused on the transient availability curves since the PM may extremely likely be implemented in a fixed period.
Now consider the case in which y is treated as deterministic rather than stochastic and is co-estimated with x giving (13)The partitioned solution for x may be written as (14) (15) (16)W∞Bre (17)Thus, W∞B = 0 and the estimate is now unbiased since.
If a subset of node positions, θ u, and the noise level, σ2, are treated as deterministic and unknown parameters, and the remaining parameters, θ a and δ, are random Gaussian, then the prior information matrix is given by J η P = P θ a - 1 0 0 0 0 0 0 0 0 0 σ δ - 2 I N - 1 0 0 0 0 0 ∈ R ( T + 1 ) × ( T + 1 ), where P θ a is the covariance matrix of θ a.
Essentially, the stochastic rates (4) are treated as deterministic rates called reaction fluxes, and the transition equations summarized by (3) are approximated by ODE's.
The previous algorithm was based on the following approximations: (i) gene expression dynamics were approximated by linear ordinary differential equations (ode); and (ii) the system was treated as deterministic by considering only the mean experimental data for the analysis.
More suggestions(15)
be treated as wartime
be treated as credible
be treated as such
be modeled as deterministic
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be treated as unwieldy
be considered as deterministic
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be realized as deterministic
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be presented as deterministic
be treated as second-class
be treated as substantial
be viewed as deterministic
be treated as innocent
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