Tensor Spaces and Numerical Tensor Calculus

Special numerical techniques are already needed to deal with n × n matrices for large n. Tensor data are of size n × n ×...× n=nd, where nd exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to...

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Κύριος συγγραφέας: Hackbusch, Wolfgang (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:2nd ed. 2019.
Σειρά:Springer Series in Computational Mathematics, 56
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Algebraic Tensors
  • 1 Introduction
  • 2 Matrix Tools
  • 3 Algebraic Foundations of Tensor Spaces
  • Part II: Functional Analysis of Tensor Spaces
  • 4 Banach Tensor Spaces
  • 5 General Techniques
  • 6 Minimal Subspaces
  • Part III: Numerical Treatment
  • 7 r-Term Representation
  • 8 Tensor Subspace Represenation
  • 9 r-Term Approximation
  • 10 Tensor Subspace Approximation
  • 11 Hierarchical Tensor Representation
  • 12 Matrix Product Systems
  • 13 Tensor Operations
  • 14 Tensorisation
  • 15 Multivariate Cross Approximation
  • 16 Applications to Elliptic Partial Differential Equations
  • 17 Miscellaneous Topics.