State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach (2023)

First Author: Antil H

Attributed to: Tensor decomposition sampling algorithms for Bayesian inverse problems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2301.08684

Publication URI: https://arxiv.org/abs/2301.08684

Type: Preprint