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020 _a9783031545054
_9978-3-031-54505-4
024 7 _a10.1007/978-3-031-54505-4
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
072 7 _aTBJ
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072 7 _aSCI064000
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072 7 _aGPFC
_2thema
100 1 _aChen, Can.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972413
245 1 0 _aTensor-Based Dynamical Systems
_h[electronic resource] :
_bTheory and Applications /
_cby Can Chen.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXV, 106 p. 19 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
505 0 _aTensors and Tensor Algebra -- Tucker Product Representation -- Einstein Product Representation -- CP/tensor Train Decomposition Representation -- Tensor Vector Product Representation -- Contract Product Representation -- T-product Representation.
520 _aThis book provides a comprehensive review on tensor algebra, including tensor products, tensor unfolding, tensor eigenvalues, and tensor decompositions. Tensors are multidimensional arrays generalized from vectors and matrices, which can capture higher-order interactions within multiway data. In addition, tensors have wide applications in many domains such as signal processing, machine learning, and data analysis, and the author explores the role of tensors/tensor algebra in tensor-based dynamical systems where system evolutions are captured through various tensor products. The author provides an overview of existing literature on the topic and aims to inspire readers to learn, develop, and apply the framework of tensor-based dynamical systems.
650 0 _aDynamics.
_965524
650 0 _aNonlinear theories.
_965525
650 0 _aControl engineering.
650 0 _aAlgebra.
_91501
650 0 _aAlgebras, Linear.
_971217
650 1 4 _aApplied Dynamical Systems.
_965530
650 2 4 _aControl and Systems Theory.
_965868
650 2 4 _aAlgebra.
_91501
650 2 4 _aLinear Algebra.
_971220
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031545047
776 0 8 _iPrinted edition:
_z9783031545061
776 0 8 _iPrinted edition:
_z9783031545078
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
856 4 0 _uhttps://doi.org/10.1007/978-3-031-54505-4
912 _aZDB-2-SXSC
999 _c58103
_d58103