Logo

Introduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra

Small book cover: Introduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra

Introduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra
by

Publisher: Springer
ISBN/ASIN: 0306375087
ISBN-13: 9780306375088
Number of pages: 314

Description:
This work represents our effort to present the basic concepts of vector and tensor analysis. Volume I begins with a brief discussion of algebraic structures followed by a rather detailed discussion of the algebra of vectors and tensors.

Home page url

Download or read it online for free here:
Download link
(1.3MB, PDF)

Similar books

Book cover: Notes on Linear AlgebraNotes on Linear Algebra
by - Queen Mary, University of London
On the theoretical side, we deal with vector spaces, linear maps, and bilinear forms. On the practical side, the subject is really about one thing: matrices. This module is a mixture of abstract theory and concrete calculations with matrices.
(6969 views)
Book cover: Linear Algebra Review and ReferenceLinear Algebra Review and Reference
by - Stanford University
From the tabble of contents: Basic Concepts and Notation; Matrix Multiplication; Operations and Properties; Matrix Calculus (Gradients and Hessians of Quadratic and Linear Functions, Least Squares, Eigenvalues as Optimization, etc.).
(13825 views)
Book cover: Linear Algebra: Theorems and ApplicationsLinear Algebra: Theorems and Applications
by - InTech
This book contains selected topics in linear algebra, which represent the recent contributions in the field. It includes a range of theorems and applications in different branches of linear algebra, such as linear systems, matrices, operators, etc.
(5396 views)
Book cover: Numerical Methods for Large Eigenvalue ProblemsNumerical Methods for Large Eigenvalue Problems
by - SIAM
This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods for solving matrix eigenvalue problems that arise in various engineering applications.
(8693 views)