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Tensor Analysis for Physicists, Seco

concise exposition of the mathematical basis of tensor analysis with admirably chosen physical examples of the theory.The first five;

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Tensor Computation for Data Analysis

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss;

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Tensor Calculus for Engineers and Physicists

This textbook provides a rigorous approach to tensor manifolds in several aspects relevant for Engineers and Physicists working in industry;

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Introduction to Diffusion Tensor Imaging

The concept of Diffusion Tensor Imaging (DTI) is often difficult to grasp, even for Magnetic Resonance physicists. Introduction to;

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Vector and Tensor Analysis with Applications

readable, it covers the elements of vector and tensor analysis, with applications of the theory to specific physics and engineering problems. It;

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Tensor Analysis

Tensor calculus is a prerequisite for many tasks in physics and engineering. This book introduces the symbolic and the index notation side;

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Modelling Non-Markovian Quantum Systems Using Tensor Networks

process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many;

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Modelling Non-Markovian Quantum Systems Using Tensor Networks

process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many;

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Vector and Tensor Analysis

can well be recommended." NatureHere is a clear introduction to classic vector and tensor analysis for students of engineering and;

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Tensor Algebra and Tensor Analysis for Engineers

This is the fifth and revised edition of a well-received textbook that aims at bridging the gap between the engineering course of tensor;

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale;

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Tensor analysis with Applications

The principal aim of tensor analysis is to investigate the relations which remain valid when we change from one coordinate system to;

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Tensor Calculus Made Simple

This book is about tensor analysis. It consists of 169 pages. The language and method used in presenting the ideas and techniques;

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Matrix and Tensor Decompositions in Signal Processing

very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the;

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Semi-Riemannian Geometry With Applications to Relativity

with a metric tensor of arbitrary signature. The principal special cases are Riemannian geometry, where the metric is positive definite, and;

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Vector and Tensor Analysis

An outstanding introduction to tensor analysis for physics and engineering students, this text admirably covers the expected topics in a;

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Introduction to Vector and Tensor Analysis

This broad introduction to vector and tensor analysis is designed for the advanced undergraduate or graduate student in mathematics;

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Tensor-Valued Random Fields for Continuum Physics

description of such fields in terms of one- and two-point correlation functions for tensors of ranks 1 through 4. Working from the standpoint;

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Tensor Analysis for Engineers

techniques of tensor analysis for applications in practical problem solving and analysis activities. The geometry is limited to the Euclideanspace;

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New Developments in the Visualization and Processing of Tensor Fields

analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a;

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New Developments in the Visualization and Processing of Tensor Fields

analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a;

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Arroyo Seco

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Tensor Numerical Methods in Quantum Chemistry

tensor decomposition originating from chemometrics made a revolution in numerical analysis, relying on rigorous results from approximation;

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Introduction To Diffusion Tensor Imaging

The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make;

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