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ISSN Print: 2152-5080
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АрхивТом 12, 2022 / Выпуск 5DOI: 10.1615/Int.J.UncertaintyQuantification.v12.i5 Table of Contents:
DYNAMICAL LOW-RANK APPROXIMATION FOR BURGERS' EQUATION WITH UNCERTAINTY
Jonas Kusch, Gianluca Ceruti, Lukas Einkemmer, Martin Frank
Jonas Kusch
Gianluca Ceruti
Lukas Einkemmer
Martin Frank DOI: 10.1615/Int.J.UncertaintyQuantification.2022039345
MAJORIZATION AS A THEORY FOR UNCERTAINTY
Victoria Volodina, Nikki Sonenberg, Edward Wheatcroft, Henry Wynn
Victoria Volodina
Nikki Sonenberg
Edward Wheatcroft
Henry Wynn DOI: 10.1615/Int.J.UncertaintyQuantification.2022035476
LEARNING HIGH-DIMENSIONAL PROBABILITY DISTRIBUTIONS USING TREE TENSOR NETWORKS
Erwan Grelier, Anthony Nouy, Regis Lebrun
Erwan Grelier
Anthony Nouy
Regis Lebrun DOI: 10.1615/Int.J.UncertaintyQuantification.2022034340
CALCULATING PROBABILITY DENSITIES WITH HOMOTOPY AND APPLICATIONS TO PARTICLE FILTERS
Juan Restrepo, Jorge M. Ramirez
Juan Restrepo
Jorge M. Ramirez DOI: 10.1615/Int.J.UncertaintyQuantification.2022038553 |
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