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Tensor Computation for Data Analysis

of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational;

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Tensor analysis with Applications

, unsolved problems and links to the solution of these problems. Tensor Analysis with Applications can be used on a selection of university courses;

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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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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 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 Calculus With Applications

This textbook presents the foundations of tensor calculus and the elements of tensor analysis. In addition, the authors consider numerous;

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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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Visualization of Fields and Applications in Engineering

in tensor field visualization and analysis. The subject covers fundamental theories through to integrated, multi-disciplinary technologies with;

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Elements of Tensor Calculus

on tensor calculus. The two-part treatment offers a rigorous presentation of tensor calculus as a development of vector analysis as well as;

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Introduction to Differential Geometry with Tensor Applications

of tensors, curves and surfaces and their applications in Newtonian mechanics. Since tensor analysis deals with entities and properties that are;

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Tensor Analysis for Engineers

Tensor analysis is used in engineering and science fields. This new edition provides engineers and applied scientists the tools and;

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Tensor Algebra and Tensor Analysis for Engineers

mathematical concepts of tensor calculus and enriches the presented material with many illustrative examples. As such, this new edition also discusses;

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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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Tensor Network Contractions

Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic;

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Tensor Analysis With Applications In Mechanics

relatively simple and easily grasped by any engineering student familiar with matrix operators in linear algebra. More complex problems arise when;

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Tensor Analysis With Applications In Mechanics

relatively simple and easily grasped by any engineering student familiar with matrix operators in linear algebra. More complex problems arise when;

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Tensor Analysis

mechanics, fluid mechanics, and electrodynamics. Contents Algebraic Tools Tensor Analysis in Symbolic Notation and in Cartesian;

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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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Applications of Tensor Analysis

preliminaries (notation, definitions, determinants, tensor analysis); algebraic geometry (rectilinear coordinates, the plane, the straight line, the;

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Introduction To Semi-tensor Product Of Matrices And Its Applications, An

A generalization of Conventional Matrix Product (CMP), called the Semi-Tensor Product (STP), is proposed. It extends the CMP to two;

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Tensor Norms And Operator Ideals

introductory course in Functional Analysis since it shows the powerful use of the projective and injective tensor norms, as well as the basics of the;

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Matrix and Tensor Decompositions in Signal Processing

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as;

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Introduction to Differential Geometry

spaces, and constant curvature manifolds. Also included are sections about manifolds with nonpositive sectional curvature, the Ricci tensor, the;

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Tensor and Vector Analysis

in three-space, transformation of coordinates in space and differentiation, tensor algebra and analysis, and vector analysis and algebra;

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Einde inhoud

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