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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 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 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 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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Matrix Calculus, Kronecker Product and Tensor Product - A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software Implementations (3rd Edition)

standard techniques for linear algebra, multilinear algebra and tensor calculus, many advanced topics are included where emphasis is placed on the;

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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 Calculus Made Simple

of tensors make it very suitable as a textbook or as a reference for an introductory course on tensor algebra and calculus or as a guide for self;

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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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Tensor Calculus

of systems of different orders, Einstein summation convention, kronecker symbol leading to the concepts of tensor algebra and tensor calculus. The;

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Elements of Tensor Calculus

point spaces, tensor algebra, curvilinear coordinates in Euclidean space, and Riemannian spaces. Part II examines the use of tensors;

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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

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

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Physical Components of Tensors

anholonomic components of tensors and applies the theory of dimensional analysis to tensors and (anholonomic) connections. This theory shows the;

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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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Tensor Analysis for Engineers and Physicists - With Application to Continuum Mechanics, Turbulence, and Einstein's Special and General Theory of Relativity

This book unies the common tensor analytical aspects in engineering and physics. Using tensor analysis enables the reader to understand;

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Tensor Numerical Methods in Scientific Computing

tensor-based techniques for computational problems in electronic structure calculations and for the grid-based evaluation of long-range;

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Dualizable Tensor Categories

"We investigate the relationship between the algebra of tensor categories and the topology of framed 3-manifolds. On the one hand, tensor;

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Applications of Tensor Analysis

explains the fundamental ideas and the notation of tensor theory; covers the geometrical treatment of tensor algebra; introduces the theory of the;

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Tensor Operators & their Applications

geometry. This book is intended to provide a systematic introduction to the theory of tensor operators. This book is suitable for researchers, and;

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Tensor Network Contractions

in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization;

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Tensor Properties of Solids, Part One

, transformations, algebra, and calculus together with the matrix representations. Crystallography, as it relates to tensor properties of crystals;

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Tensor Analysis for Physicists, Seco

chapters incisively set out the mathematical theory underlying the use of tensors. The tensor algebra in EN and RN is developed in Chapters I and;

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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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Introduction to Differential Geometry

working knowledge of analysis, linear algebra, complex analysis, and point set topology. The book treats the subject both from an extrinsic and an;

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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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Tensor Methods in Statistics

reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions;

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Tensor Products of C*-Algebras and Operator Spaces

tensor products and free groups, ultraproducts of von Neumann algebras, and quantum information theory. The reader is guided through a number;

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