Decomposability of Tensors


LOOKING TO PLACE A BULK ORDER?CLICK HERE

Piracy-free
Piracy-free
Assured Quality
Assured Quality
Secure Transactions
Secure Transactions
Fast Delivery
Fast Delivery
Sustainably Printed
Sustainably Printed
Delivery Options
Please enter pincode to check delivery time.
*COD & Shipping Charges may apply on certain items.
Review final details at checkout.

About The Book

Tensor decomposition is a relevant topic both for theoretical and applied mathematics due to its interdisciplinary nature which ranges from multilinear algebra and algebraic geometry to numerical analysis algebraic statistics quantum physics signal processing artificial intelligence etc. The starting point behind the study of a decomposition relies on the idea that knowledge of elementary components of a tensor is fundamental to implement procedures that are able to understand and efficiently handle the information that a tensor encodes. Recent advances were obtained with a systematic application of geometric methods: secant varieties symmetries of special decompositions and an analysis of the geometry of finite sets. Thanks to new applications of theoretic results criteria for understanding when a given decomposition is minimal or unique have been introduced or significantly improved. New types of decompositions whose elementary blocks can be chosen in a range of different possible models (e.g. Chow decompositions or mixed decompositions) are now systematically studied and produce deeper insights into this topic. The aim of this Special Issue is to collect papers that illustrate some directions in which recent researches move as well as to provide a wide overview of several new approaches to the problem of tensor decomposition.
downArrow

Details