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We present a new mixed precision algorithm to compute low-rank matrix and tensor approximations, a fundamental task in numerous applications in scientific computing and data analysis. Our algorithm is reminiscent of the iterative refinement framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::9e85a55845b29efa9bd61d78064f13e4
https://inria.hal.science/hal-04115337
https://inria.hal.science/hal-04115337