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Preservation of Linear Constraints in Approximation of Tensors
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作者 Eugene Tyrtyshnikov 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE 2009年第4期421-426,共6页
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 t... 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. 展开更多
关键词 Multi-index arrays TENSORS linear constraints low rank approximation canonicaltensor decomposition multilevel matrices.
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