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Smoothed Moreau-Yosida Tensor Train Approximation of State-constrained Optimization Problems under Uncertainty (2023)

First Author: Antil H

Attributed to: Overcoming the curse of dimensionality in dynamic programming by tensor decompositions 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