Tensor train-Karhunen-Loève expansion: new theoretical and algorithmic frameworks for representing general non-Gaussian random fields
DOI10.1016/j.cma.2020.113121zbMath1442.60057arXiv1907.06304OpenAlexW2960890929MaRDI QIDQ2186882
Publication date: 10 June 2020
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.06304
random fieldshigher-order cumulantstensor train decompositiongeneralized Karhunen-Loève expansionisogeometric transformation
Random fields (60G60) Factor analysis and principal components; correspondence analysis (62H25) Computational methods for problems pertaining to probability theory (60-08)
Uses Software
Cites Work
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