SIAM Journal on Matrix Analysis and Applications · 2012 · 69 citations · 9 references
Natural SciencesComputer ScienceMathematicsAlgebraData StructuresFormal MethodsLinear AlgebraMatrix ComputationNumerical AnalysisNumerical Linear AlgebraBlock Matrix AlgorithmsMultilinear AlgebraNotation SemanticsTensor DecompositionsTensor FactorizationTensor OperatorsTensor Products
Within the field of numerical multilinear algebra, block tensors are increasingly important. Accordingly, it is appropriate to develop an infrastructure that supports reasoning about block tensor computation. In this paper we establish concise notation that is suitable for the analysis and development of block tensor algorithms, prove several useful block tensor identities, and make precise the notion of a block tensor unfolding.
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Tensor Decompositions and Applications
Tamara G. Kolda, Brett W. Bader · SIAM Review · 2009 · 10.5K citations
The ubiquitous Kronecker product
Charles F. Van Loan · Journal of Computational and Applied Mathematics · 2000 · 954 citations