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Preservation of Linear Constraints in Approximation of Tensors
Authors:Eugene Tyrtyshnikov
Institution:Institute of Numerical Mathematics of Russian Academy of Sciences, Gubkin Street, 8, Moscow 119333, Russia
Abstract:For an arbitrary tensor (multi-index array) with linear constraints at each direction, it is proved that the factors of any minimal canonical tensor approximation to this tensor satisfy the same linear constraints for the corresponding directions.
Keywords:Multi-index arrays  tensors  linear constraints  low rank approximation  canonical tensor decomposition  multilevel matrices
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