Tensors for Data Processing

Name: Tensors for Data Processing
Brand: Elsevier Science Publishing Co Inc
SKU: 9780128244470
Price: 3318 CZK
Availability: InStock

Theory, Methods, and Applications

Autor: Yipeng Liu

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier Science Publishing Co Inc

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

3 318 Kč

As a higher-order generalization of a matrix, a tensor is a natural representation for multi-dimensi...

Informace o knize

Autor

Yipeng Liu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

596

EAN

9780128244470

Enbook ID

35543540

Vydavatel

Elsevier Science Publishing Co Inc

Hmotnost

1232

Rozměry

317 x 193 x 40

Kompletní popis

As a higher-order generalization of a matrix, a tensor is a natural representation for multi-dimensional data; tensor based processing can avoid multi-linear data structure loss that occurs in classical matrix based data processing methods. The 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, quantum chemistry. Tensors for Data Processing: 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. This reference is ideal for students, researchers, industry developers who want to understand and use tensor based data processing theories and methods. A complete reference on classical and state-of-the-art tensor based methods for data processingA wide range of applications from different disciplinesGives guidance for their application

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Tensors for Data Processing

Theory, Methods, and Applications

Informace o knize

Kompletní popis

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