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ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction. [PDF]

open access: yesIEEE Trans Comput Imaging
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Distances between Maximal Monotone Operators

Siberian Mathematical Journal, 2023
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Regular Maximal Monotone Operators

Set-Valued Analysis, 1998
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Verona, Andrei, Verona, Maria E.
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Maximal Monotonicity of a Nemytskii Operator

Functional Analysis and Its Applications, 2021
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Characterizations of maximal monotone operators

Nonlinear Analysis: Theory, Methods & Applications, 1992
Die Verfasser betrachten monotone Operatoren \(T: A\to 2^{X^*}\) von einer Teilmenge \(A\subseteq X\) eines Banach-Raumes \(X\) in die Menge aller Teilmengen seines Dualraumes \(X^*\). Ist \(A\) offen, dann ist bekannterweise die maximale Monotonie von \(T\) zu jeder der folgenden Eigenschaften (1), (2) äquivalent: (1) \(T\) ist konvex- und \(w ...
Verona, Maria Elena, Verona, Andrei
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A Characterization of Maximal Monotone Operators

Set-Valued Analysis, 2007
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About the Maximal Monotonicity of the Generalized Sum of Two Maximal Monotone Operators

Set-Valued and Variational Analysis, 2011
In this paper, the authors present some regularity conditions to ensure the maximal mo\-no\-to\-ni\-ci\-ty of the generalized sum of two strongly-representable monotone operators of closedness and interior point type. The obtained theorems extend some recent results.
László, Szilárd   +1 more
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Cyclical monotonicity of maximal monotone step operators

Boletim da Sociedade Brasileira de Matemática, 1982
Let X and Y be two locally convex Hausdorff topological vector spaces paired by a bilinear form \(\). A multimapping \(T: X\to 2^ y\) is said to be a locally step operator if each \(x\in X\) has a neighborhood U such that \(\{Ty\}_{y\in U}\) is a finite family of sets, that is, if locally T takes a finite number of set values.
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