Sentence examples for the domain of the variables from inspiring English sources

Constraint (C 14) defines the domain of the variables.

Quine would say that, for the fragment of English in question, the domain of the variables can be considered to consist of classes of men with the same surname and the predicates interpreted as holding of such classes.

Ways may then be found of 'bypassing' those limitations or of going around the limitations by extending the domain of the variables and thereby entering a different domain from the original, as done in analytic continuation.

The function of the propagators is then to discard the values on the domain of the variables that are not part of any solution (domain narrowing).

For this application we obtained good performances with dichotomic search by bissecting the domain of the variables (bisect option in SWI-Prolog) without any particular heuristics for choosing the variables.

In Constraint Programming, constraints are asserted by means of propagators that prune the domain of the variables through efficient techniques such as Hull, Box and kB−Consistency ([ 29], [ 30]), thus allowing for solving sets of interval constraints.

end{aligned} The estimate for (|E_{2,3}|) is more complicated, and we need to split the domain of the variable (y_{2}).

EST-WA2D shows all main metadata related to the variables stored in netCDF files; it displays, for each variable, the data type, the measurement unit, the description, the rank and the axes defining the domain of the variable itself.

Contrary to the Fourier transform, which converts a signal from time domain into a signal in the frequency domain, the Hilbert transform does not change the domain of the variable.

where ( x, y ) ∈ Q : = Ω × ( 0, 1 ) ⊂ R n + 1, n ≥ 2, Ω is a C 2 -smooth bounded domain in R n, ν denotes the outward unit normal vector to Q, λ is a small positive parameter representing the thickness of the domain of the variable λy, α 1, α 2, β 1, β 2 are positive constants and the functions ϕ 1, ϕ 2 are of class C 1 jointly in their arguments.

Second technique is the histogram-based classification, which determines thresholds by dividing the domain of the variable into equal-sized chunks and classifying observations based on these thresholds.