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Let a mapping J M, λ G = ( G + λ M ) − 1 : X → 2 X be an inverse mapping of ( G + λ M ).
Let h-1 : [1, N] → [1, M]∗ be an inverse mapping for additional hashing h : [1, M] → [1, N].
Similar(58)
The function z = ϕ − 1 ( w ) = e w 1 + e w is an inverse mapping of w = ϕ ( z ).
Then there is an inverse mapping (A^{-1}) of A such that, for (xin C) and (yin R(A)), (A^{-1}y=x) if (Ax=y).
for z ∈ D E. The function z = ϕ − 1 ( w ) = e w 1 + e w is an inverse mapping of w = ϕ ( z ).
Lemma 2.4 implies that is closed and convex if is a maximal monotone mapping and be an inverse strongly monotone mapping.
Let A : C → H be an inverse strongly-monotone mapping.
Let be a nonexpansive mapping, a bifunction, and let be an inverse-strongly monotone mapping.
Let be a contraction mapping with Lipschitz constant and let be an inverse-strongly monotone mapping with constant.
Let be an inverse-strongly monotone mapping, and a bifunction of into, where is the set of real numbers.
Let be an α-inverse strongly monotone mapping, and let be a inverse strongly monotone mapping.
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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