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∂Ω denotes its boundary.
h denotes WiHo; y denotes its price.
For a variable x, default (x) denotes its default value.
For any set A, #A denotes its cardinality.
(overline{mathcal{R}(T }) denotes its closure in (X_{alpha}).
For (xin R ^{n}), (vert xvert ) denotes its Euclidean norm.
For any set S, S ¯ denotes its closure.
Instead, Frege claims that in such contexts, a term denotes its ordinary sense.
Let T be a bounded linear operator on a Banach space X and let r(T) denotes its spectral radius.
For a random variable (RV) X, f X denotes its probability density function (pdf), and (mathbb {E}_{X}{cdot }) denotes its expectation.
N denotes its nodal set, and E ( A ) = { e i, j ∣ a i j ≠ 0, i, j ∈ N } denotes its directed edge set.
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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