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Maximum entropy on the mean approach to solve generalized inverse problems with an application in computational thermodynamics

Abstract : In this paper, we study entropy maximisation problems in order to reconstruct functions or measures subject to very general integral constraints. Our work has a twofold purpose. We first make a global synthesis of entropy maximisation problems in the case of a single reconstruction (measure or function) from the convex analysis point of view, as well as in the framework of the embedding into the Maximum Entropy on the Mean (MEM) setting. We further propose an extension of the entropy methods for a multidimensional case.
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https://hal.archives-ouvertes.fr/hal-02903231
Contributor : Eva Lawrence <>
Submitted on : Monday, July 20, 2020 - 6:29:18 PM
Last modification on : Wednesday, June 30, 2021 - 3:27:07 AM
Long-term archiving on: : Tuesday, December 1, 2020 - 2:02:16 AM

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Fabrice Gamboa, Christine Gueneau, Thierry Klein, Eva Lawrence. Maximum entropy on the mean approach to solve generalized inverse problems with an application in computational thermodynamics. RAIRO - Operations Research, EDP Sciences, 2021, 55 (2), pp.355 - 393. ⟨10.1051/ro/2021005⟩. ⟨hal-02903231v1⟩

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