Tensor analysis
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Tensor analysis by Nelson, Edward

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Published in Princeton, N.J., Princeton University Press, 1967 .
Written in English

Subjects:

  • Calculus of tensors

Book details:

Edition Notes

SeriesMathematical notes -- preliminary informal notes of university courses and seminars in mathematics
The Physical Object
Paginationiv, 127 p. ;
Number of Pages127
ID Numbers
Open LibraryOL26550540M

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tensor analysis. Many exercises are included in each volume. However, it is likely that teachers will wish to generate additional exercises. Several times during the preparation of this book we taught a one semester course to students with a very limited background in linear algebra and no background in tensor Size: 1MB. “This book aims at presenting the basic theory, methods, and applications of tensor analysis for engineering students and researchers. the book particularly useful for teachers and students. This is a fine book which may be recommended to mathematicians, physicists, and engineers.” (Jürgen Appell, zbMATH , )Price: $ 2. Very applied books, e.g., books on General Relativity will typically devote a good portion of the book to tensor analysis. Needless to say, they view Tensor Analysis as a tool and thus, don't painstakingly explain it. I tried learning tensor analysis from the above two categories but, for the most part, failed, i.e., learned the rules of Cited by: Fundamentals of Tensor Analysis Rule of Thumb: For algebra on vectors and tensors, an index must show up twice and only twice. If an index shows up once on the left hand side (LHS) of “ = ” sign, it must show up once and only once on the right hand side File Size: 65KB.

the place where most texts on tensor analysis begin. A basic knowledge of vectors, matrices, and physics is assumed. A semi-intuitive approach to those notions underlying tensor analysis is given via scalars, vectors, dyads, triads, and similar higher-order vector products. The reader must be prepared to do some mathematics and to Size: KB. Books shelved as tensor-analysis: Elasticity: Tensor, Dyadic, and Engineering Approaches by Pei Chi Chou, Vector and Tensor Analysis with Applications by. directions, such a quantity is called Tensor. The stress at a point of an elastic solid is an example of a Tensor which depends on two directions one normal to the area and other that of the force on it. Tensors have their applications to Riemannian Geometry, Mechanics, Elasticity, Theory of File Size: 1MB. The title, The Poor Man’s Introduction to Tensors, is a reference to Gravitation by Misner, Thorne and Wheeler, The central principle of tensor analysis lies in the simple, almost trivial fact that scalars are unaffected by book Div, Grad, Curl, and All That by H. M. Schey [26] provides an excellent informal introduction to vector.

This book presents tensors and tensor analysis as primary mathematical tools for engineering and engineering science students and researchers. The discussion is based on the concepts of vectors and vector analysis in three-dimensional Euclidean space, and although it takes the subject matter to an advanced level, the book starts with elementary. This book is an attempt to broaden this point of view at the stage where the student first encounters the subject. The authors have treated tensor analysis as a continuation of advanced calculus, striking just the right balance between the formal and abstract approaches to the subject. The material proceeds from the general to the special. Tensor Analysis book. Read reviews from world’s largest community for readers. Tensor Analysis book. Read reviews from world’s largest community for readers. Start your review of Tensor Analysis: Theory and Applications to Geometry and Mechanics of Continua. Write a review. Craig is currently reading itReviews: 1. In mathematics and physics, a tensor field assigns a tensor to each point of a mathematical space (typically a Euclidean space or manifold).Tensor fields are used in differential geometry, algebraic geometry, general relativity, in the analysis of stress and strain in materials, and in numerous applications in the physical sciences. As a tensor is a generalization of a scalar (a pure number.