Fast high-dimensional integration using tensor networks
Sebastian Cassel
Papers from arXiv.org
Abstract:
The design and application of regression-free tensor network representations for integration is presented. Tensor network methods are demonstrated to outperform Monte Carlo for test problems, and exponential convergence is shown to be achievable for a non-analytic integrand.
Date: 2022-02
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2202.09780
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