Efficient approximation of high-dimensional exponentials by tensornetworks

In this work a general approach to compute a compressed representation of the exponential \(\exp(h)\) of a high-dimensional function \(h\) is presented. Such exponential functions play an important role in several problems in Uncertainty Quantification, e.g. the approximation of log-normal random fi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Eigel, Martin, Farchmin, Nando, Heidenreich, Sebastian, Trunschke, Philipp
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Bayesian analysis Computer Science - Numerical Analysis Differential equations Exponential functions Fields (mathematics) Mathematical analysis Mathematics - Dynamical Systems Mathematics - Numerical Analysis Mathematics - Spectral Theory Ordinary differential equations Representations Tensors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!