Logo

The Theory of Determinants and Their Applications

Large book cover: The Theory of Determinants and Their Applications

The Theory of Determinants and Their Applications
by

Publisher: Cambridge University Press
Number of pages: 308

Description:
In the present treatise I have attempted to give an exposition of the Theory of Determinants and their more important applications. The principal novelty of the treatise lies in the systematic use of Grassmann's alternate units, by means of which the study of determinants is, I believe, much simplified.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

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.).
(19371 views)
Book cover: Templates for the Solution of Linear SystemsTemplates for the Solution of Linear Systems
by - Society for Industrial Mathematics
The book focuses on the use of iterative methods for solving large sparse systems of linear equations. General and reusable templates are introduced to meet the needs of both the traditional user and the high-performance specialist.
(16320 views)
Book cover: Introduction to Linear BialgebraIntroduction to Linear Bialgebra
by - arXiv
This book introduced a new algebraic structure called linear bialgebra. We have ventured in this book to introduce new concepts like linear bialgebra and Smarandache neutrosophic linear bialgebra and also give the applications of these structures.
(12738 views)
Book cover: Lectures on Linear Algebra and MatricesLectures on Linear Algebra and Matrices
by - Texas A&M University
Contents: Vectors and Vector Spaces; Matrices and Linear Algebra; Eigenvalues and Eigenvectors; Unitary Matrices; Hermitian Theory; Normal Matrices; Factorization Theorems; Jordan Normal Form; Hermitian and Symmetric Matrices; Nonnegative Matrices.
(15505 views)