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Lectures on tensor categories and modular functors
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ISSN: 10473998 ISBN: 0821826867 9780821826867 Year: 2001 Volume: 21 Publisher: Providence (R.I.): American mathematical society,

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Book
Nukleare lokalkonvexe Räume
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Year: 1969 Publisher: Berlin: Akademie,

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Produits tensoriels topologiques et espaces nucleáires
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Year: 1955 Publisher: Providence (R.I.) : American mathematical society,

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A theory of cross-spaces
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Year: 1950 Publisher: Princeton : Princeton University Press,

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Tensor products and independent sums of Lp-spaces, 1 < p < infinite
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ISBN: 082180961X Year: 1999 Publisher: Providence, R.I. American Mathematical Society

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Low order cohomology and applications
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ISBN: 3540108645 0387108645 3540387803 Year: 1981 Publisher: Berlin

Iterating the Cobar construction
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ISBN: 0821825887 9780821825884 Year: 1994 Volume: 524 Publisher: Providence (R.I.): American mathematical society,

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Tensor norms and operator ideals
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ISBN: 1281789674 9786611789671 0080872875 0444890912 Year: 1993 Publisher: Amsterdam ; New York : North-Holland,

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The three chapters of this book are entitled Basic Concepts, Tensor Norms, and Special Topics. The first may serve as part of an introductory course in Functional Analysis since it shows the powerful use of the projective and injective tensor norms, as well as the basics of the theory of operator ideals. The second chapter is the main part of the book: it presents the theory of tensor norms as designed by Grothendieck in the Resumé and deals with the relation between tensor norms and operator ideals. The last chapter deals with special questions. Each section is accompanied by a series


Book
Tensors for data processing : theory, methods and applications
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ISBN: 9780323859653 0323859658 012824447X 9780128244470 Year: 2022 Publisher: London, England ; San Diego, California : Elsevier,

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"Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. [...] As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear data structure loss that occurs in classical matrix-based data processing methods. This move from matrix to tensors is beneficial for many diverse application areas, including signal processing, computer science, acoustics, neuroscience, communication, medical engineering, seismology, psychometric, chemometrics, biometric, quantum physics and quantum chemistry."--


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Tensor Analysis for Engineers and Physicists - With Application to Continuum Mechanics, Turbulence, and Einstein's Special and General Theory of Relativity
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ISBN: 9783030357368 9783030357375 9783030357382 9783030357351 Year: 2021 Publisher: Cham Springer International Publishing

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This book unies the common tensor analytical aspects in engineering and physics. Using tensor analysis enables the reader to understand complex physical phenomena from the basic principles in continuum mechanics including the turbulence, its correlations and modeling to the complex Einstein' tensor equation. The development of General Theory of Relativity and the introduction of spacetime geometry would not have been possible without the use of tensor analysis. This textbook is primarily aimed at students of mechanical, electrical, aerospace, civil and other engineering disciplines as well as of theoretical physics. It also covers the special needs of practicing professionals who perform CFD-simulation on a routine basis and would like to know more about the underlying physics of the commercial codes they use. Furthermore, it is suitable for self-study, provided that the reader has a sufficient knowledge of differential and integral calculus. Particular attention was paid to selecting the application examples. The transformation of Cartesian coordinate system into curvilinear one and the subsequent applications to conservation laws of continuum mechanics and the turbulence physics prepares the reader for fully understanding the Einstein tensor equations, which exhibits one of the most complex tensor equation in theoretical physics.

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