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The domain of the function is required to be a finite PL-manifold modeled by a simplicial complex.
The domain of the function is the set (1.7).
Here ' dom ( x ) ' stands for the domain of the function x.
We can see that the domain of the function x is ({-2,-1,0,ldots,b}).
The domain of the function φ : C → R ∪ is the set dom φ = { x ∈ C : φ ( x ) < + ∞ }.
The notation (f:X | Y to Z) means that the domain of the function f from X to Z is restricted to the subset Y of X.
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The domain of the functions that define the problems is a convex set, which is determined by convex inequality constraints and affine equality constraints.
The following theorem (see [13]) allows us to consider case (i) or (ii) of the previous definition almost everywhere in the domain of the functions under discussion.
This actually follows from the fact that the preferences do not determine a single probability function, given that the domain of the probability function is infinite (this latter point follows from the atomlessness of \ \Omega\)).
That is, whereas the disparity filter implicitly uniformly partitions fractional edge weights (i.e., the domain of the distribution function), LANS uniformly partitions the range of the distribution function.
Thus, the document space, the domain of the classification function, is.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com