Tensor Analysis

The Functional Analysis of Quantum Information Theory  eBooks & eLearning

Posted by Underaglassmoon at June 2, 2015
The Functional Analysis of Quantum Information Theory

The Functional Analysis of Quantum Information Theory: A Collection of Notes Based on Lectures by Gilles Pisier, K. R. Parthasarathy, Vern Paulsen and Andreas Winter
Springer | Physics | July 14 2015 | ISBN-10: 3319167170 | 139 pages | pdf | 1.39 mb

by Ved Prakash Gupta (Author), Prabha Mandayam (Author), V.S. Sunder (Author)

Analysis and Control of Boolean Networks: A Semi-tensor Product Approach  eBooks & eLearning

Posted by arundhati at June 13, 2015
Analysis and Control of Boolean Networks: A Semi-tensor Product Approach

Daizhan Cheng, Hongsheng Qi, "Analysis and Control of Boolean Networks: A Semi-tensor Product Approach"
2011 | ISBN-10: 0857290967, 1447126114 | 488 pages | PDF | 2 MB
The Functional Analysis of Quantum Information Theory (Lecture Notes in Physics) (Repost)

The Functional Analysis of Quantum Information Theory (Lecture Notes in Physics) By Ved Prakash Gupta
2015 | 139 Pages | ISBN: 3319167170 | PDF | 1 MB
The Functional Analysis of Quantum Information Theory (Lecture Notes in Physics) (Repost)

The Functional Analysis of Quantum Information Theory (Lecture Notes in Physics) By Ved Prakash Gupta
2015 | 139 Pages | ISBN: 3319167170 | PDF | 1 MB

The Functional Analysis of Quantum Information Theory  eBooks & eLearning

Posted by AvaxGenius at Oct. 9, 2019
The Functional Analysis of Quantum Information Theory

The Functional Analysis of Quantum Information Theory: A Collection of Notes Based on Lectures by Gilles Pisier, K. R. Parthasarathy, Vern Paulsen and Andreas Winter by Ved Prakash Gupta
English | PDF,EPUB | 2015 | 149 Pages | ISBN : 3319167170 | 4.16 MB

This book provides readers with a concise introduction to current studies on operator-algebras and their generalizations, operator spaces and operator systems, with a special focus on their application in quantum information science. This basic framework for the mathematical formulation of quantum information can be traced back to the mathematical work of John von Neumann, one of the pioneers of operator algebras, which forms the underpinning of most current mathematical treatments of the quantum theory, besides being one of the most dynamic areas of twentieth century functional analysis.

Nonnegative Matrix and Tensor Factorizations (Repost)  eBooks & eLearning

Posted by step778 at Sept. 13, 2018
Nonnegative Matrix and Tensor Factorizations (Repost)

Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, "Nonnegative Matrix and Tensor Factorizations"
2009 | pages: 500 | ISBN: 0470746661 | PDF | 14,2 mb

Matrix and Tensor Decompositions in Signal Processing, Volume 2  eBooks & eLearning

Posted by hill0 at June 2, 2023
Matrix and Tensor Decompositions in Signal Processing, Volume 2

Matrix and Tensor Decompositions in Signal Processing, Volume 2
English | 2021 | ISBN: 1786301555 | 374 Pages | EPUB (True) | 25 MB

Matrix and Tensor Factorization Techniques for Recommender Systems  eBooks & eLearning

Posted by Jeembo at June 5, 2017
Matrix and Tensor Factorization Techniques for Recommender Systems

Matrix and Tensor Factorization Techniques for Recommender Systems by Panagiotis Symeonidis, Andreas Zioupos
English | 2016 | ISBN: 3319413562 | 102 Pages | PDF | 5.5 MB

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques.
Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning

Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning By Phillipos Mordohai, Gerard Medioni
2006 | 140 Pages | ISBN: 1598291009 | PDF | 6 MB

Matrix and Tensor Factorization Techniques for Recommender Systems  eBooks & eLearning

Posted by AvaxGenius at Feb. 28, 2017
Matrix and Tensor Factorization Techniques for Recommender Systems

Matrix and Tensor Factorization Techniques for Recommender Systems By Panagiotis Symeonidis, Andreas Zioupos
English | PDF | 2016 | 101 Pages | ISBN : 3319413562 | 2.79 MB

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques.