Numerical methods in higher dimensions using tensor factorizations

نویسنده

  • Ivan Oseledets
چکیده

Numerical methods in higher dimensions using tensor factorizations I this talk I will collect recent advances in the solution of high-dimensional problems in different application areas: chemistry, biology, mathematics. The language of low-rank factorization gives a unified view on different algorithms for the solution of seemingly diverse and unconnected problems. Typical applications include quantum chemistry, chemical master equation in biology, latent variable models in data analyses.

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تاریخ انتشار 2014