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Low-rank tensor approximation of high-dimensional functions
Third-party funded project
Project title Low-rank tensor approximation of high-dimensional functions
Principal Investigator(s) Harbrecht, Helmut
Project Members Gajendran, Emily
Organisation / Research unit Departement Mathematik und Informatik / Computational Mathematics (Harbrecht)
Department Departement Mathematik und Informatik
Project start 01.10.2023
Probable end 30.09.2026
Status Active
Abstract

The present project aims at studying the mathematical theory of tensor approximation schemes for representing high-dimensional functions. Starting point are high-dimensional functions, which are defined on an m-fold product of domains of arbitrary dimensions, providing smoothness either in standard Sobolev spaces or in Sobolev spaces of dominating mixed smoothness. Of practical interest is also the situation that such spaces are equipped with dimension weights. We will provide estimates on the cost to approximate such functions in terms of the required ranks and also in terms of storage requirements for the eigenfunctions.

Keywords low-rank tensor approximation, approximation error, cost complexity
Financed by Swiss National Science Foundation (SNSF)
   

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03/05/2024